# Gensiv — full site text > Gensiv is the enterprise platform for AI brand visibility. See, benchmark, and grow how AI assistants like ChatGPT, Perplexity and Gemini represent your brand to buyers across every model, every competitor, and every market. Generative engine optimization (GEO / AEO) measurement built for marketing teams. Every page of https://gensiv.com as plain markdown, so an answer engine can ingest the whole site in one request. Generated from the same source as the rendered pages, so it cannot drift. # Gensiv > Gensiv is the enterprise platform for AI brand visibility. See, benchmark, and grow how AI assistants like ChatGPT, Perplexity and Gemini represent your brand to buyers across every model, every competitor, and every market. Generative engine optimization (GEO / AEO) measurement built for marketing teams. Canonical URL: https://gensiv.com Product: Gensiv — Become the brand AI recommends --- ## What Gensiv does Gensiv measures how AI assistants answer the questions your buyers actually ask, and whether those answers name your brand. You register a brand and its competitors, Gensiv derives the high-intent prompts people ask in your category, then runs them against live AI answer engines on a recurring schedule. Every answer is graded for whether your brand appeared, at what position, in what sentiment, alongside which competitors, and citing which sources. ## Engine coverage - ChatGPT — live - Perplexity — live - Google AI Overviews — rolling out - Gemini — rolling out - Copilot — rolling out - Claude — rolling out Measurement runs in neutral, logged-out sessions with no account, history or personalization, so the answer reflects what a real prospect sees rather than one tailored to us. Results are averaged across runs to smooth the session-to-session variance in AI answers. ## Features ### Measure — See exactly where AI puts you - **AI Visibility Analytics** (https://gensiv.com/features/ai-visibility) — How often AI names you, rank and sentiment over time - **Share of Voice** (https://gensiv.com/features/share-of-voice) — Your slice of the answer vs every competitor - **Geo & Engine Coverage** (https://gensiv.com/features/geo-engine-coverage) — 6 engines, 190+ markets, per-engine breakdown - **Mentions & Citations** (https://gensiv.com/features/mentions-citations) — Mention and citation counts, and where you rank - **Sources** (https://gensiv.com/features/sources) — The domains and content types AI actually cites - **Prompt Tracking** (https://gensiv.com/features/prompt-tracking) — The buyer questions you track, and every answer ### Improve — Turn every metric into a next move - **Citations & Missing Links** (https://gensiv.com/features/citations) — The sources AI trusts, and your ranked target list - **AI Opportunities** (https://gensiv.com/features/ai-opportunities) — Reddit threads AI already cites for you - **Outreach & AI Replies** (https://gensiv.com/features/outreach) — Watch Reddit, score leads, draft replies ## Pricing - **Free** — free: 1 brand, 5 tracked prompts, 1 engine. For individuals getting started. - **Starter** — $49/month (or $441/year, save 25%): 3 brands, 25 tracked prompts, 4 engines. For solo founders. - **Growth** — $199/month (or $1791/year, save 25%): 5 brands, 100 tracked prompts, 6 engines. For marketing teams. - **Agency** — $899/month (or $8091/year, save 25%): 10 brands, 400 tracked prompts, 6 engines. For marketing agencies. ## Frequently asked questions ### What is generative engine optimization (GEO)? Generative engine optimization (GEO), also called answer engine optimization (AEO), is the practice of making sure your brand is recommended and cited when people ask AI assistants like ChatGPT, Perplexity and Google's AI answers about your category. Gensiv measures your AI visibility and shows you exactly where to improve it. ### How is Gensiv different from just asking ChatGPT myself? Asking once tells you what an AI said, once, to you. Gensiv measures your buyer-intent prompts on a recurring schedule across every major AI engine and every market you sell in, then tracks visibility, rank, sentiment, share of voice versus named competitors, and the sources behind each answer, over time. It turns one-off answers into a benchmark you can act on and report to leadership. ### How accurate is Gensiv's data? Gensiv is built for decision-grade accuracy: it reflects the answers your buyers actually see, benchmarked consistently over time and across markets, with the competitors named and the sources cited. It's measurement you can take to a board deck, not a rough approximation. ### Is my data safe? Yes. Data is encrypted in transit and at rest, each brand and client lives in an isolated workspace, and role-based access controls who on your team sees what. Gensiv is built to be GDPR-ready. See our Privacy Policy for the full list of sub-processors and how data is handled. ### Which AI engines does Gensiv cover? Gensiv tracks the AI answer engines your buyers actually use, ChatGPT, Perplexity, Gemini, Google AI Overviews, Copilot and Claude, so you get one view of your brand across the whole generative-search landscape. ### How often does Gensiv check my visibility? Tracked prompts run automatically every day, every 3 days on the Free plan, so your dashboards stay current without manual effort. Your plan sets how many prompts, brands and markets you monitor. ### What are “missing links”? Missing links are the domains and pages AI assistants cite for prompts where your competitors show up and you don't. Instead of just telling you you're invisible, Gensiv hands you a ranked target list of the exact sources to earn, your content and digital-PR punch list. ### Can I use Gensiv for my agency's clients? Yes. The Agency plan supports multiple client brands in isolated workspaces, team seats, exports, and white-label client reports so you can resell AI-visibility reporting under your own brand. --- Start free: https://gensiv.com/signup · Free visibility report: https://gensiv.com/free-ai-visibility-report · Support: support@gensiv.com --- # Gensiv features > Every Gensiv feature for measuring and improving how AI assistants represent your brand. Canonical URL: https://gensiv.com/features Product: Gensiv — Become the brand AI recommends --- ## Measure — See exactly where AI puts you ### AI Visibility Analytics Gensiv tracks your visibility rate, your rank in the answer, and the sentiment behind every mention, refreshed daily, so you always know which way the trend is moving. Availability: Included on every plan. Free tracks 1 engine every 3 days; paid plans track up to 6 engines, daily. Read more: https://gensiv.com/features/ai-visibility ### Share of Voice AI share of voice shows how much of every answer your brand owns, benchmarked against every competitor you track, across all six engines and moving over time. Availability: Available on every paid plan. Read more: https://gensiv.com/features/share-of-voice ### Geo & Engine Coverage Ask the same buyer question of six AI engines and you get six different answers, and they shift again by country. Gensiv runs your tracked prompts against every live engine, in every market you choose, so you stop guessing which model recommends you where. Availability: Included on every plan. Free tracks 1 engine, Starter 4, Growth and Agency all 6, across 190+ markets. Read more: https://gensiv.com/features/geo-engine-coverage ### Mentions & Citations A mention means AI named you. A citation means it linked you. Gensiv counts both separately, tracks each over time, and shows where in the answer you actually land. Availability: On every plan, Free included. Prompt and engine caps set the sample size. Read more: https://gensiv.com/features/mentions-citations ### Sources Every answer is built from somewhere. Gensiv shows you the domains, the kind of page each one is, and the exact URLs, ranked by how much the engines lean on them. Availability: On every plan, Free included. Prompt and engine caps set how much of the landscape you see. Read more: https://gensiv.com/features/sources ### Prompt Tracking Prompts are the unit of measurement in AI search. Gensiv suggests the ones that matter in your category, runs them on a schedule, and keeps every answer so you can read what actually changed. Availability: On every plan. Free tracks 5 prompts; paid plans track 25 to 400. Read more: https://gensiv.com/features/prompt-tracking ## Improve — Turn every metric into a next move ### Citations & Missing Links We map every source behind every AI answer, then rank the pages worth earning. The output is not another dashboard. It is a ranked target list your content and PR teams can act on this week. Availability: Included on Starter, Growth, and Agency. Prompt and engine caps set how much of the citation landscape you see. Read more: https://gensiv.com/features/citations ### AI Opportunities When ChatGPT, Perplexity, Gemini, Google AI Overviews, Copilot, and Claude answer your buyers, they cite sources. Gensiv shows you the exact Reddit threads they pull from, so you can join the conversation AI already trusts. Availability: Included on every plan, Free too. No card and no tag to install. Free refreshes every 3 days, paid plans daily. Read more: https://gensiv.com/features/ai-opportunities ### Outreach & AI Replies AI Opportunities shows the threads engines already cite for you. Outreach goes on offense: Gensiv watches Reddit for new threads relevant to your category as they appear, scores each one by relevance, and drafts a reply you can edit and post. Availability: A paid feature, available on Starter, Growth, and Agency. Gensiv never auto-posts. Read more: https://gensiv.com/features/outreach --- # Know exactly how often AI names your brand. > See how often AI assistants name your brand, where you rank, and how sentiment trends over time. AI visibility tracking across 6 engines, refreshed daily. Canonical URL: https://gensiv.com/features/ai-visibility Product: Gensiv — Become the brand AI recommends --- Gensiv tracks your visibility rate, your rank in the answer, and the sentiment behind every mention, refreshed daily, so you always know which way the trend is moving. Availability: Included on every plan. Free tracks 1 engine every 3 days; paid plans track up to 6 engines, daily. ## What you get ### Visibility rate The one number for how often AI names you, tracked over time. ### Rank and trends Where you place in answers, and which way the line is moving. ### Sentiment Whether a mention is flattering, neutral, or a warning sign. ### Trendlines over time Every metric plotted run over run, so you catch a shift while you can still act on it. ## How this is measured Gensiv does not estimate from scraped pages. We run your tracked buyer-intent prompts against the live models on a schedule, daily on paid plans and every 3 days on Free, then compute a stable visibility rate across the natural session-to-session variance in AI answers. The number you see reflects how the models actually respond, smoothed across enough runs to read as a trend you can trust rather than a single lucky or unlucky answer. ## Availability by plan - **Free** — 1 engine, 5 prompts, every 3 days - **Starter, $49/mo** — 4 engines, 25 prompts, daily - **Growth, $199/mo** — 6 engines, 100 prompts, daily - **Agency, $899/mo** — 6 engines, 400 prompts, daily, plus white-label reports ## Frequently asked questions ### How is the visibility rate computed? It is the share of your tracked buyer-intent prompts, per engine, where AI names your brand in the answer. We run each prompt on a schedule and average across runs so the rate is stable rather than reactive to one answer. ### Does Gensiv query the live models? Yes. We send your prompts to the live models on a schedule, so the results reflect how ChatGPT, Perplexity, Gemini, Google AI Overviews, Copilot, and Claude actually answer today, not a cached snapshot. ### How often does it refresh? Daily on Starter, Growth, and Agency. Every 3 days on Free. ### How do you handle answer variance? AI answers vary run to run by design. We compute your rate across multiple scheduled runs and plot the trend, so day-to-day noise does not read as a real move and genuine shifts stand out. ## Related - [Share of Voice](https://gensiv.com/features/share-of-voice) — Your slice of every AI answer versus every competitor you track. - [Geo & Engine Coverage](https://gensiv.com/features/geo-engine-coverage) — 6 live engines and 190+ markets, with a per-engine breakdown. --- # See your slice of every AI answer. > Measure your AI share of voice, your slice of every AI answer, benchmarked against every competitor you track across ChatGPT, Perplexity, Gemini and more. Canonical URL: https://gensiv.com/features/share-of-voice Product: Gensiv — Become the brand AI recommends --- AI share of voice shows how much of every answer your brand owns, benchmarked against every competitor you track, across all six engines and moving over time. Availability: Available on every paid plan. ## What you get ### Your share of the answer The percentage of tracked AI answers that name and recommend your brand, expressed as a clean slice you can report. ### Every competitor benchmarked Each rival gets its own share against yours, so you know who is winning the answer, not just that you are behind. ### Auto-suggested competitors Add your domain and Gensiv suggests the real competitors buyers weigh you against, accurate from day one. Add or remove any. ### Share tracked over time Every run adds a point to the trend, so you can tell a gain from noise and tie movement back to the work that caused it. ## Availability by plan - **Starter, $49/mo** — 3 brands, 25 prompts, 4 engines, daily tracking - **Growth, $199/mo** — 5 brands, 100 prompts, all 6 engines, daily tracking - **Agency, $899/mo** — 10 brands, 400 prompts, all 6 engines, white-label reports ## Frequently asked questions ### How are my competitors chosen? When you add your domain at setup, Gensiv suggests the real competitors buyers weigh you against for your category. You review the list before tracking begins. ### Can I add my own competitors? Yes. Add, remove or replace any competitor in your set, and the benchmark recalculates against the brands you choose. ### How is share calculated across engines? We run the same tracked prompts across every engine on your plan on a repeating schedule, then compute each brand's share from how often it is named and recommended. Because responses vary between sessions, we measure a stable share across many runs, not a single answer. ### How far back does the trend go? Every scheduled run adds a data point, so the trend builds from the day you start tracking and keeps growing with daily runs on paid plans. ## Related - [AI Visibility Analytics](https://gensiv.com/features/ai-visibility) — How often AI names you, plus rank and sentiment over time, without the competitive split. - [Geo & Engine Coverage](https://gensiv.com/features/geo-engine-coverage) — How your share changes engine by engine and across 190+ markets. --- # One brand across 6 engines and 190+ markets. > AI search tracking across engines and markets: measure how 6 live AI answer engines represent your brand in 190+ markets, with a per-engine and per-country view. Canonical URL: https://gensiv.com/features/geo-engine-coverage Product: Gensiv — Become the brand AI recommends --- Ask the same buyer question of six AI engines and you get six different answers, and they shift again by country. Gensiv runs your tracked prompts against every live engine, in every market you choose, so you stop guessing which model recommends you where. Availability: Included on every plan. Free tracks 1 engine, Starter 4, Growth and Agency all 6, across 190+ markets. ## What you get ### 6 live engines Every answer engine buyers use, tracked in one place, not one you have to check by hand. ### Per-engine breakdown See exactly how each model represents you, so you know which engines recommend you and which ignore you. ### 190+ markets Coverage across the countries you sell in, because a US answer is not a UK or DACH answer. ### Geo-targeting by country Filter any prompt to a specific market and see the answer buyers there actually receive. ## How this is measured No black box. Gensiv queries the live models directly on a schedule, daily on paid plans and every 3 days on Free, and runs each tracked prompt per engine and per market. Because AI answers vary from session to session, we query on a repeating cadence and compute a stable rate across that variance instead of trusting any single response. So the numbers you see reflect how each engine behaves over time in each market, not a lucky or unlucky one-off. ## Availability by plan - **Free, $0** — 1 engine, every 3 days, 190+ markets - **Starter, $49/mo** — 4 engines, daily tracking - **Growth, $199/mo** — all 6 engines, daily tracking - **Agency, $899/mo** — all 6 engines, daily tracking, plus white-label reports ## Frequently asked questions ### Which engines are live? All six are tracked live: ChatGPT, Perplexity, Gemini, Google AI Overviews, Copilot, and Claude. Your plan sets how many you track at once, from 1 on Free to all 6 on Growth and Agency. ### How many markets do you cover? More than 190. You can filter any tracked prompt to a specific country to see the answer buyers there actually receive. ### Do you query the live models? Yes. Gensiv sends your tracked prompts to the real engines on a schedule, daily on paid plans and every 3 days on Free, rather than reading cached or scraped data. ### How is a market chosen? You pick the markets that match where you sell. Gensiv runs your prompts in each selected market so you see how answers differ country by country, not one global average. ## Related - [AI Visibility Analytics](https://gensiv.com/features/ai-visibility) — How often AI names you, plus rank and sentiment over time. - [Share of Voice](https://gensiv.com/features/share-of-voice) — Your slice of every AI answer versus every competitor you track. --- # The pages AI trusts, and the ones you are missing. > Gensiv maps every source behind every AI answer, then hands you a ranked target list of the exact pages competitors are cited on and you are not. Canonical URL: https://gensiv.com/features/citations Product: Gensiv — Become the brand AI recommends --- We map every source behind every AI answer, then rank the pages worth earning. The output is not another dashboard. It is a ranked target list your content and PR teams can act on this week. Availability: Included on Starter, Growth, and Agency. Prompt and engine caps set how much of the citation landscape you see. ## What you get ### Citation mapping See every source behind every AI answer, so you know exactly which domains and pages the models trust for your category. ### Competitor-cited gaps We surface the exact pages where competitors are named and you are not, so the gap is a URL, not a hunch. ### A ranked punch list Every gap becomes a prioritized content and digital-PR target, so your team knows which page to pitch, publish, or earn a mention on first. ### Prioritized by prompt Targets are tied to the buyer prompts that matter, so you spend effort on the questions your buyers are actually asking AI. ## Availability by plan - **Starter, $49/mo** — 3 brands, 25 prompts, 4 engines - **Growth, $199/mo** — 5 brands, 100 prompts, 6 engines - **Agency, $899/mo** — 10 brands, 400 prompts, 6 engines, plus white-label reports and CSV/PDF export ## Frequently asked questions ### What counts as a citation? Any source an AI engine references when answering one of your tracked buyer prompts: the specific domains and pages the model drew from to build its answer. ### How is the target list ranked? By where competitors are cited and you are not, tied to the buyer prompts you track, so the highest-leverage gaps surface first. ### How often does it refresh? Tracking runs automatically on a schedule, daily on paid plans and every 3 days on Free, so your citation set and target list stay current. ### Can I export it? Yes. Agency plans include white-label reports and CSV and PDF export, so the target list drops straight into a client deck or a content brief. ## Related - [AI Opportunities](https://gensiv.com/features/ai-opportunities) — The Reddit threads AI engines already cite when answering your prompts. Free on every plan. - [Outreach & AI Replies](https://gensiv.com/features/outreach) — Active Reddit discovery with relevance scoring plus editable, human-in-the-loop draft replies. Paid. --- # The Reddit threads AI already reads about your category. > See the exact Reddit threads AI engines cite when answering buyer prompts about your category. Included on every Gensiv plan, Free included. Start free. Canonical URL: https://gensiv.com/features/ai-opportunities Product: Gensiv — Become the brand AI recommends --- When ChatGPT, Perplexity, Gemini, Google AI Overviews, Copilot, and Claude answer your buyers, they cite sources. Gensiv shows you the exact Reddit threads they pull from, so you can join the conversation AI already trusts. Availability: Included on every plan, Free too. No card and no tag to install. Free refreshes every 3 days, paid plans daily. ## What you get ### Threads AI cited The exact Reddit discussions engines pulled from when answering about your category. ### Tied to your prompts Each thread maps to a real buyer-intent prompt you monitor, not the whole internet. ### Engine attribution See which of the six live engines cited each thread. ### On your schedule Refreshed alongside the rest of your monitoring, daily on paid plans and every 3 days on Free. ## Availability by plan - **Free** — 1 brand, 5 prompts, 1 engine, every 3 days - **Starter, $49/mo** — 3 brands, 25 prompts, 4 engines, daily - **Growth, $199/mo** — 5 brands, 100 prompts, 6 engines, daily - **Agency, $899/mo** — 10 brands, 400 prompts, 6 engines, daily ## Frequently asked questions ### Is it really free? Yes. AI Opportunities is included on the Free plan with no card required. Free refreshes every 3 days instead of daily. ### Which prompts does it cover? The buyer-intent prompts you track. Gensiv auto-suggests high-intent prompts at setup, and you can edit them. ### How current are the threads? They refresh on your tracking schedule, daily on paid plans and every 3 days on Free, alongside the rest of your monitoring. ### How is this different from Outreach? AI Opportunities shows threads AI has already cited for you and is free. Outreach actively discovers new relevant threads with relevance scoring and drafts editable replies, and is paid. ## Related - [Citations & Missing Links](https://gensiv.com/features/citations) — Map every source behind every answer and get a ranked content and digital-PR target list. - [Outreach & AI Replies](https://gensiv.com/features/outreach) — Actively watch Reddit for new relevant threads with relevance scoring, then draft editable replies. Paid. --- # Reach the conversation before AI cites someone else. > Gensiv watches Reddit for relevant threads, scores each lead by relevance, and drafts editable replies you review and post yourself. Paid plans. Canonical URL: https://gensiv.com/features/outreach Product: Gensiv — Become the brand AI recommends --- AI Opportunities shows the threads engines already cite for you. Outreach goes on offense: Gensiv watches Reddit for new threads relevant to your category as they appear, scores each one by relevance, and drafts a reply you can edit and post. Availability: A paid feature, available on Starter, Growth, and Agency. Gensiv never auto-posts. ## What you get ### Active Reddit discovery Gensiv watches Reddit for new threads relevant to your category and surfaces them as they appear, so you find the conversation while it is still open. ### Relevance scoring Every lead gets a score out of 100 so the most relevant threads sort to the top and you spend time where it counts. ### Editable AI-drafted replies A draft response is generated for each opportunity, ready to edit and post in your own words. You review and publish, Gensiv never auto-posts. ## Availability by plan - **Free ($0)** — AI Opportunities only. Outreach and AI replies not included. - **Starter, $49/mo** — Outreach and editable AI-drafted replies, 3 brands, 25 prompts, 4 engines - **Growth, $199/mo** — Outreach and AI replies, 5 brands, 100 prompts, 6 engines - **Agency, $899/mo** — Outreach and AI replies, 10 brands, 400 prompts, 6 engines, white-label reports ## Frequently asked questions ### Is this Reddit-only, and why? Yes. Outreach watches Reddit specifically because Reddit is where these AI engines actually pull answers from. Reaching buyers in threads the models read is how you earn a place in the answer, so we name the channel plainly rather than call it omnichannel. ### Does it auto-post? No. Every reply is an editable draft that stays in a drafted state until you post it yourself. Gensiv does not post to Reddit on your behalf. ### How is relevance scored? Each discovered thread gets a relevance score out of 100, so the most relevant conversations sort to the top and you can filter out the noise. ### Which plans include it? Outreach and AI-drafted replies are on all paid plans (Starter, Growth, Agency). The free plan includes AI Opportunities but not Outreach. ## Related - [AI Opportunities](https://gensiv.com/features/ai-opportunities) — The Reddit threads AI already cites for your prompts. Free on every plan. - [Citations & Missing Links](https://gensiv.com/features/citations) — The sources AI trusts, and a ranked target list of the pages where competitors are cited and you are not. --- # Being mentioned and being cited are not the same thing. > Track how often AI answers mention your brand and how often they cite your domain, with the position distribution showing where in the answer you land. Canonical URL: https://gensiv.com/features/mentions-citations Product: Gensiv — Become the brand AI recommends --- A mention means AI named you. A citation means it linked you. Gensiv counts both separately, tracks each over time, and shows where in the answer you actually land. Availability: On every plan, Free included. Prompt and engine caps set the sample size. ## What you get ### Mentions and citations, counted apart Two separate trends, because they mean different things. Plenty of brands get named often and linked rarely, and that gap is a fixable problem rather than a rounding error. ### Position distribution When the answer is a ranked list, we record where you sit. Appearing fifth in every answer is a very different brief from appearing first in a fifth of them. ### Filter by engine and window Slice by engine, competitor, and date range, so you can tell a real shift from one model changing its behaviour for a week. ### Movement over time Both counts carry a trend against the previous period, so you can see whether last month's work moved anything. ## How this is measured Every tracked prompt run is graded for whether your brand was named and whether your domain appeared among the sources the engine cited. Counts are totals across successful runs in the window, so a failed engine query never quietly depresses the number. ## Availability by plan - **Free, $0** — 1 brand, 5 prompts, ChatGPT - **Starter, $49/mo** — 3 brands, 25 prompts, 4 engines - **Growth, $199/mo** — 5 brands, 100 prompts, 6 engines - **Agency, $899/mo** — 10 brands, 400 prompts, 6 engines ## Frequently asked questions ### What is the difference between a mention and a citation? A mention is the AI naming your brand in the text of its answer. A citation is the AI referencing your domain as one of the sources behind that answer. You can be mentioned without being cited, and cited without being mentioned prominently, so Gensiv counts them separately. ### What is position distribution? When an AI answer is a ranked or listed set of options, position distribution records where your brand falls: first, second, third, and so on. It turns a single visibility percentage into a picture of whether you are the default recommendation or an also-ran. ### Does a failed engine query count against my numbers? No. Counts and rates are calculated over runs that returned an answer, so an engine being unreachable for an hour does not look like a drop in your visibility. ### Which plans include this? All of them, including Free. Your plan sets how many prompts and engines feed the numbers, not whether you can see them. ## Related - [Citations & Missing Links](https://gensiv.com/features/citations) — Map every source behind every answer and get a ranked target list of pages to earn. - [Sources](https://gensiv.com/features/sources) — The domains and content types AI leans on when answering your category's questions. --- # See which sites AI reads before it answers. > See the domains, content types and exact URLs AI engines cite when answering your category's buying questions, ranked by how often each one appears. Canonical URL: https://gensiv.com/features/sources Product: Gensiv — Become the brand AI recommends --- Every answer is built from somewhere. Gensiv shows you the domains, the kind of page each one is, and the exact URLs, ranked by how much the engines lean on them. Availability: On every plan, Free included. Prompt and engine caps set how much of the landscape you see. ## What you get ### Top domains The sites AI returns to most often for your category, ranked by citation count. This is the shortlist that decides who gets recommended. ### Content types Every cited page is classified: ranked list, review, comparison, Reddit thread, documentation, and so on. It tells you what format wins in your category, not just which domain. ### Every cited URL The full list, not just the aggregate, so you can read the actual page an engine drew from and judge what it saw there. ### Filter by engine Different engines trust different sources. Filter down and you can see that one leans on Reddit while another leans on review sites, which changes where you spend effort. ## How this is measured Each answer's cited sources are extracted, resolved to a registrable domain, and classified into a fixed taxonomy of content types. Classification comes from the page itself rather than a guess from the URL, and the taxonomy is fixed so counts stay comparable across months. ## Availability by plan - **Free, $0** — 1 brand, 5 prompts, ChatGPT - **Starter, $49/mo** — 3 brands, 25 prompts, 4 engines - **Growth, $199/mo** — 5 brands, 100 prompts, 6 engines - **Agency, $899/mo** — 10 brands, 400 prompts, 6 engines ## Frequently asked questions ### What sources do AI search engines cite most? It varies sharply by category, which is the point of measuring it rather than assuming. Across most B2B categories, review and comparison sites, Reddit threads, and ranked listicles do a disproportionate amount of the work, because they answer comparison questions directly. Gensiv shows you the actual ranking for your category rather than a general rule. ### How are content types classified? Every cited page is sorted into a fixed taxonomy: ranked list, comparison, review, how-to guide, documentation, Reddit thread, product page, and so on. The taxonomy is fixed rather than generated, so the counts stay comparable from one month to the next. ### Can I see the individual URLs? Yes. Alongside the domain and content-type aggregates there is a full table of every cited URL, so you can open the page an engine actually drew from. ### Do different engines cite different sources? Frequently, yes, and the differences matter. Filtering by engine is the fastest way to see that one model leans on community discussion while another leans on editorial review sites, which changes where the effort should go. ## Related - [Citations & Missing Links](https://gensiv.com/features/citations) — Turn the source map into a ranked list of pages where competitors are cited and you are not. - [AI Opportunities](https://gensiv.com/features/ai-opportunities) — The Reddit threads AI already cites for your category. Free on every plan. --- # The questions your buyers ask, tracked like keywords. > Track the buyer-intent prompts your customers ask AI assistants, run them on a schedule, and read every answer with its full history. Canonical URL: https://gensiv.com/features/prompt-tracking Product: Gensiv — Become the brand AI recommends --- Prompts are the unit of measurement in AI search. Gensiv suggests the ones that matter in your category, runs them on a schedule, and keeps every answer so you can read what actually changed. Availability: On every plan. Free tracks 5 prompts; paid plans track 25 to 400. ## What you get ### Prompts suggested from your domain Gensiv reads your site and proposes the neutral, high-intent questions buyers actually ask in your category. None of them name your brand, because a question that names you proves nothing. ### Run on a schedule, or on demand Tracked prompts run automatically, daily on paid plans and every 3 days on Free. You can also trigger a single prompt immediately when you want to check something now. ### Per-prompt metrics Each prompt carries its own visibility, rank and sentiment history, so you can see which buyer questions you own and which ones you have never appeared in. ### The full answer, kept Every run stores the complete, unedited answer alongside the competitors named and sources cited. When a number moves you can read the answer that moved it. ## How this is measured Each run opens a fresh, cookie-less session with no account, history or custom instructions, so the answer reflects an anonymous prospect rather than a personalized one. Results are held steady across the natural session-to-session variance in AI answers rather than reported from a single run. ## Availability by plan - **Free, $0** — 5 prompts, refreshed every 3 days - **Starter, $49/mo** — 25 prompts, refreshed daily - **Growth, $199/mo** — 100 prompts, refreshed daily - **Agency, $899/mo** — 400 prompts, refreshed daily ## Frequently asked questions ### What counts as a tracked prompt? One buyer-intent question you monitor, for example “best CRM for startups”. Gensiv runs it against your selected engines on a schedule and records the result each time, so one prompt produces a history rather than a single reading. ### Do I have to write the prompts myself? No. Gensiv reads your domain and suggests the high-intent questions buyers ask in your category, which you approve or edit during setup. You can add your own at any time. ### Why do the suggested prompts never mention my brand? Because a question that names your brand will surface your brand, which tells you nothing about whether AI recommends you unprompted. Neutral category questions are the only ones that measure real visibility. ### Can I run a prompt immediately? Yes. Alongside the automatic schedule you can trigger any tracked prompt on demand and watch the run complete, which is useful right after you publish something. ## Related - [AI Visibility Analytics](https://gensiv.com/features/ai-visibility) — How often AI names your brand across every tracked prompt, with rank and sentiment over time. - [Mentions & Citations](https://gensiv.com/features/mentions-citations) — Mention and citation counts, and where in the answer you land. --- # Gensiv pricing > Plans and pricing for tracking your brand across AI assistants. Start free, no credit card. Canonical URL: https://gensiv.com/pricing Product: Gensiv — Become the brand AI recommends --- ## Plans ### Free — $0 For individuals getting started. Free forever, no credit card required. Limits: 1 brand, 5 tracked prompts. Engines: ChatGPT. Included: - 1 brand - 5 tracked prompts - 1 AI engine (ChatGPT) - Competitor tracking - Geo-targeting - Reddit AI opportunities ### Starter — $49/month For solo founders. Annual billing: $441/year (save 25% versus monthly). Limits: 3 brands, 25 tracked prompts. Engines: ChatGPT, Google AI Overviews, Gemini, Perplexity. Included: - 3 brands - 25 tracked prompts - 4 AI engines - Competitor tracking - Geo-targeting - Reddit AI + outreach opportunities - AI-drafted replies - Unlimited team seats - Email support ### Growth — $199/month (most popular) For marketing teams. Annual billing: $1791/year (save 25% versus monthly). Limits: 5 brands, 100 tracked prompts. Engines: Google AI Overviews, ChatGPT, Perplexity, Claude, Gemini, Copilot. Included: - 5 brands - 100 tracked prompts - 6 AI engines - Competitor tracking - Geo-targeting - Reddit AI + outreach opportunities - AI-drafted replies - Unlimited team seats - Priority support ### Agency — $899/month For marketing agencies. Annual billing: $8091/year (save 25% versus monthly). Limits: 10 brands, 400 tracked prompts. Engines: Google AI Overviews, ChatGPT, Perplexity, Claude, Gemini, Copilot. Included: - 10 brands - 400 tracked prompts - 6 AI engines - Competitor tracking - Geo-targeting - Reddit AI + outreach opportunities - AI-drafted replies - White-label client reports - Unlimited team seats - Dedicated support ## Engine availability - ChatGPT — live - Perplexity — live - Google AI Overviews — rolling out - Gemini — rolling out - Copilot — rolling out - Claude — rolling out ## Billing questions ### What counts as a tracked prompt? A tracked prompt is one buyer-intent question you monitor (for example, “best CRM for startups”). Gensiv runs it on a schedule across your selected engines and markets and records the results each time. ### Do you offer a free plan? Yes, the Free plan lets you track 1 brand with 5 prompts on ChatGPT, with competitor tracking and geo-targeting, at no cost and no credit card. ### How does annual billing work? Annual plans are billed once yearly and work out roughly 25% cheaper than paying monthly. You can switch between monthly and annual at any time. ### Can I upgrade, downgrade or cancel? Anytime. Changes take effect on your next billing cycle and your data is preserved. Billing is handled securely through our payments provider. --- # Gensiv for agencies > Add AI brand-visibility reporting to your retainer. Track client brands across every AI engine, report under your own brand, and bill for it. Canonical URL: https://gensiv.com/for-agencies Product: Gensiv — Become the brand AI recommends --- ## Why agencies use Gensiv Generative engine optimization is the service clients are starting to ask for, and most agencies have no way to measure it. Gensiv gives you a standing number per client brand: how often AI names them, how they compare to named competitors, and which sources to earn next. ## What the Agency plan includes - Every client brand in one workspace, isolated from each other - White-label reports you can hand to a client under your own brand - Unlimited team seats with role-based access - CSV and PDF export - 10 brands and 400 tracked prompts at $899/month ## Frequently asked questions ### Can I use Gensiv for my agency's clients? Yes. The Agency plan supports multiple client brands in isolated workspaces, team seats, exports, and white-label client reports so you can resell AI-visibility reporting under your own brand. --- # Free AI visibility report > A free report measuring whether AI assistants name your brand. Enter a domain and email, no credit card. Canonical URL: https://gensiv.com/free-ai-visibility-report Product: Gensiv — Become the brand AI recommends --- ## What it is Enter your domain and a work email, and Gensiv derives the neutral buyer-intent questions people ask in your category, runs them against live AI engines in logged-out sessions, and emails you a report. None of the questions mention your brand, because a question that names you proves nothing. ## What the report contains - Your visibility rate — the share of answers that named your brand at all - Share of voice for every brand named alongside you, ranked - The domains each engine cited to build its answer - Answer-by-answer detail: what each engine said, your position, and the sentiment ## Terms - Free. No credit card, no trial to cancel, no sales call. - Delivered by email, usually within a few minutes. - It is a five-question sample. Tracking a full prompt set daily across every engine and market is the paid product. Request one: https://gensiv.com/free-ai-visibility-report --- # Gensiv use cases > What teams actually do with Gensiv, mapped to the screens that do the work. Canonical URL: https://gensiv.com/use-cases Product: Gensiv — Become the brand AI recommends --- - **Competitor benchmarking** — Not whether your visibility went up. Whether it went up faster than the competitor who keeps winning the answer you care about. https://gensiv.com/use-cases/competitor-benchmarking - **Content gap planning** — AI already told you which pages it trusts in your category. The gap between that list and where you appear is your content plan. https://gensiv.com/use-cases/content-gap-planning - **Launch monitoring** — You announced it, the press covered it, and ChatGPT still describes your old positioning. Track when that changes, and whether it changes at all. https://gensiv.com/use-cases/launch-monitoring - **New market visibility** — Before you fund an expansion, find out whether AI assistants in that market have heard of you, and who they recommend instead. https://gensiv.com/use-cases/new-market-visibility --- # Find out who AI recommends instead of you. > Benchmark your brand against named competitors in AI answers: share of voice, in-answer rank, and which rival AI recommends for each buying question. Canonical URL: https://gensiv.com/use-cases/competitor-benchmarking Product: Gensiv — Become the brand AI recommends --- Not whether your visibility went up. Whether it went up faster than the competitor who keeps winning the answer you care about. ## The situation You have a visibility number and no idea whether it is good. 30% could be market-leading in your category or last place, and nothing in the number tells you which. Meanwhile someone in the business asks why a competitor keeps coming up when they ask ChatGPT about your category, and you have nothing to say. ## How to do it in Gensiv ### 1. Name the competitors you actually lose to During setup Gensiv suggests real competitors from your domain, and you edit the list. Use the names your sales team hears in deals, not the ones in the board deck. The benchmark is only as useful as the comparison set. ### 2. Track the same prompts for everyone Every tracked prompt is a neutral category question that names nobody. Because the same question is asked on the same schedule, your number and theirs are measured identically, which is what makes the comparison mean anything. ### 3. Read share of voice, not just your own rate Share of voice divides every answer between the brands that appeared in it. It tells you what slice of the conversation is yours and exactly who holds the rest. ### 4. Break it down by prompt and engine Aggregates hide the useful detail. A competitor may own comparison questions while you own how-to questions, or lead on Perplexity while trailing on ChatGPT. That difference is the whole brief. ## What you end up with A ranked table of who AI names in your category, per buying question and per engine, tracked on a schedule so you can see whether the gap is closing or widening. ## Common questions ### How do you benchmark competitors in AI search? Track the same neutral, high-intent questions your buyers ask, on the same schedule, then measure how often each brand appears in the answers. That share, split across every brand named, is share of voice. The critical detail is that the questions must not mention any brand: a question naming a competitor will surface that competitor and tells you nothing. ### How many competitors should I track? Three to five is usually right. Enough to see the shape of the market, few enough that the comparison stays legible. Prioritise the ones your sales team actually hears in deals over the biggest names in the category. ### Can I track competitors without them knowing? Yes. Gensiv asks public AI assistants neutral questions about your category and reads the answers. It does not touch competitor systems, and nothing about the measurement is visible to them. --- # Stop guessing what to publish next. > Turn AI citation data into a content plan: find the exact pages AI cites for prompts where competitors appear and you do not, ranked by buyer intent. Canonical URL: https://gensiv.com/use-cases/content-gap-planning Product: Gensiv — Become the brand AI recommends --- AI already told you which pages it trusts in your category. The gap between that list and where you appear is your content plan. ## The situation Your visibility is low and the obvious response is to write more. So you write more, and nothing moves, because the problem was never volume. AI was drawing on a specific set of pages you were not on, and no amount of publishing on your own domain changes which third-party pages a model cites. ## How to do it in Gensiv ### 1. See the sources behind every answer Gensiv extracts every URL each engine cited and classifies what kind of page it is: ranked list, review, comparison, Reddit thread, documentation. That tells you which format wins in your category, not just which domain. ### 2. Find where competitors are cited and you are not The same source map, filtered to the gaps. Each one is a specific URL where a rival appears and you do not, which turns a vague content problem into a list of pages. ### 3. Rank by the prompts that matter Gaps are tied to the buyer prompts they affect, so a page influencing five high-intent questions outranks one influencing a single peripheral query. ### 4. Decide content or outreach per target Some gaps you close by publishing something better. Others are someone else's listicle or a Reddit thread, where the move is a pitch or a genuine reply. The target list makes that call obvious. ## What you end up with A ranked punch list of specific URLs, each tagged with the buyer prompts it affects and whether it is a content or an outreach job. ## Common questions ### What is a content gap in AI search? A page that AI engines cite when answering your category's buying questions, where your competitors are represented and you are not. It is different from a traditional keyword gap: the page is often not on your domain at all, so closing it can mean earning a mention rather than publishing something. ### Why does writing more content not improve AI visibility? Because AI answers are assembled from sources the model already trusts, and in most categories that is a small set of review sites, comparison pages, community threads and listicles. Adding pages to your own domain does not change which third-party pages a model draws on. What moves the number is being present, and well represented, on the pages it already reads. ### How is this different from a normal SEO content gap analysis? A traditional gap analysis compares which keywords competitors rank for. This compares which sources AI actually cited when answering real buyer questions, which surfaces pages that may not rank well at all but which the model leans on heavily. --- # Did AI notice your launch? > Track whether AI assistants picked up your launch: run prompts on demand, watch mentions and sentiment shift, and see when models start recommending you. Canonical URL: https://gensiv.com/use-cases/launch-monitoring Product: Gensiv — Become the brand AI recommends --- You announced it, the press covered it, and ChatGPT still describes your old positioning. Track when that changes, and whether it changes at all. ## The situation Models learn about you from the web, on their own schedule. A launch that lands everywhere can take weeks to show up in AI answers, or never show up, and there is a real cost to that lag: buyers asking AI about your category are being told about the product you shipped two years ago. Nobody on the team can currently tell you whether that has changed. ## How to do it in Gensiv ### 1. Take a baseline before you ship Add the prompts your launch should affect and let them run for a week beforehand. Without a baseline you cannot distinguish a launch effect from normal answer variance, and AI answers vary a lot run to run. ### 2. Run prompts on demand at launch Alongside the automatic schedule you can trigger any tracked prompt immediately and watch the run complete. Useful the moment coverage lands, and the moment you publish the page. ### 3. Watch mentions, position and sentiment together A launch can move all three independently. Being newly mentioned but ranked last, or mentioned more with worse sentiment, are different outcomes with different responses. ### 4. Read the answers, not just the numbers Every run stores the full, unedited response. That is how you find out AI is describing your launch using a competitor's framing, or citing a review that got a detail wrong. ## What you end up with A before-and-after read on whether AI picked up your launch, with the actual answers behind each number so you can see what the models believe. ## Common questions ### How long does it take for AI to learn about a new product? It varies from days to months, and sometimes it does not happen without help. Engines that retrieve live web results can pick up a launch within days if the coverage is on sources they already trust. Answers leaning on model memory can lag much longer. Measuring is the only way to know which case you are in. ### Can I speed up how fast AI notices a launch? Indirectly, and mostly by earning presence on the pages models already cite for your category rather than by publishing on your own domain. Gensiv's source map shows which pages those are, which makes launch PR targeting concrete rather than a spray. ### Why did my visibility drop right after launch? Most often it is normal variance rather than a real drop, which is why a baseline matters. AI answers differ between runs even with an identical prompt, so Gensiv reports a rate held steady across runs rather than a single reading. If the change persists across several runs, it is real. --- # AI answers differently in Berlin than in Boston. > AI gives different answers in different countries. Compare your visibility market by market before you commit budget to expansion. Canonical URL: https://gensiv.com/use-cases/new-market-visibility Product: Gensiv — Become the brand AI recommends --- Before you fund an expansion, find out whether AI assistants in that market have heard of you, and who they recommend instead. ## The situation Expansion plans get built on home-market assumptions. You know your category position where you already sell, and you assume it travels. Often it does not: local competitors dominate the answer, local review sites carry the citations, and the brand AI recommends in your new target market is one your team has never heard of. ## How to do it in Gensiv ### 1. Pick the markets you are considering Choose target regions during setup and searches are routed accordingly, so the answers reflect what someone in that market would actually be shown rather than a translated version of yours. ### 2. Run the same prompts everywhere The same neutral buying questions, tracked per market. Holding the question constant is what makes the market-to-market comparison mean anything. ### 3. Compare visibility and rivals per market Filter by region and read the share of voice for each. This is usually where the local competitor nobody had heard of shows up holding most of the answer. ### 4. Look at the local source list The domains AI cites shift a lot by country. The review site that matters in one market is often irrelevant in the next, which changes the entire entry plan. ## What you end up with A market-by-market read on whether AI knows you there, which local brands hold the answer, and which local sources you would need to earn. ## Common questions ### Do AI assistants give different answers in different countries? Yes, often substantially. Answers reflect local web sources, local language content and locally prominent brands, so the recommendation for the same category question can be completely different in two markets. That is exactly why measuring per market matters before committing expansion budget. ### How many markets can I track? Gensiv's country catalog covers 190+ markets. Your plan sets how many tracked prompts you have in total, and each prompt-market pair consumes from that allowance, so market breadth trades against prompt depth. ### Should I track markets in local languages? If your buyers ask in the local language, yes, because that is the question they actually type. Tracking only English in a non-English market measures the wrong thing, and typically flatters you. --- # GEO and AEO glossary > Plain-English definitions of the generative engine optimization and AI search terms that matter. Canonical URL: https://gensiv.com/glossary Product: Gensiv — Become the brand AI recommends --- ## AI Overviews AI Overviews are Google's AI-generated summaries shown above traditional search results, synthesised from web sources with links to those sources. AI Overviews matter disproportionately because they sit on top of the search behaviour buyers already have, so a brand absent from them loses visibility without any change in its ranking. Read more: https://gensiv.com/glossary/ai-overviews ## AI visibility AI visibility is how often and how prominently a brand appears in answers generated by AI assistants for the questions its buyers ask. It is usually expressed as a rate: the share of tracked answers that named the brand. A visibility rate is only meaningful alongside its method. The number depends heavily on which questions were asked, which engines were queried, whether sessions were personalised, and how many runs were averaged. Two tools can report very different visibility for the same brand without either being wrong. Read more: https://gensiv.com/glossary/ai-visibility ## Answer engine An answer engine is a system that responds to a question with a direct, synthesised answer rather than a list of links. ChatGPT, Perplexity, Google AI Overviews, Gemini, Copilot and Claude are all answer engines in this sense. Read more: https://gensiv.com/glossary/answer-engine ## Answer engine optimization (AEO) *Also called: AEO* Answer engine optimization (AEO) is the practice of structuring content so a search or answer engine can use it directly as the answer to a question, rather than as a link the user has to click. AEO predates the current generation of AI assistants: it grew out of optimising for featured snippets and voice results. The terms AEO and GEO are now used almost interchangeably, though AEO leans more towards content structure and GEO more towards how generative models represent a brand. Read more: https://gensiv.com/glossary/answer-engine-optimization ## Answer variance Answer variance is the tendency of an AI assistant to give different answers to the same question on different occasions, even with identical input. It is inherent to how generative models sample text. Variance is why a single query is not a measurement. A brand can appear in one run and not the next with nothing having changed, so credible visibility figures average across multiple runs. Read more: https://gensiv.com/glossary/answer-variance ## Brand accuracy Brand accuracy is whether an AI assistant describes a brand's products, pricing, positioning and category correctly. A brand can be highly visible and consistently described wrongly. Read more: https://gensiv.com/glossary/brand-accuracy ## Buyer-intent prompt A buyer-intent prompt is a question someone asks an AI assistant while actively evaluating options, such as a comparison, a "best for" query, or a pricing question. These prompts sit closest to a purchase decision. Read more: https://gensiv.com/glossary/buyer-intent-prompt ## Citation A citation is a source an AI engine references when generating an answer, usually shown as a link or footnote. In AI visibility measurement, a citation of your domain means the engine drew on your content to build its response. Citation behaviour varies sharply by engine. Some surface every source prominently, others cite selectively or not at all, which is why citation counts are only comparable within the same engine. Read more: https://gensiv.com/glossary/citation ## Citation rate Citation rate is the share of tracked AI answers that cited a brand's own domain as a source. It measures whether engines treat your content as evidence, not just whether they know your name. Read more: https://gensiv.com/glossary/citation-rate ## Competitive benchmarking (AI) Competitive benchmarking in AI search is measuring your brand's presence in AI answers against a named set of competitors, using the same questions, engines and schedule for every brand. The comparison is only valid if the method is identical across brands. Different questions or different engines produce numbers that cannot be compared. Read more: https://gensiv.com/glossary/competitive-benchmarking ## Content gap (AI search) A content gap in AI search is a topic or source where competitors are represented in AI answers and you are not. Unlike a traditional keyword gap, the page in question is often not on your own domain. Read more: https://gensiv.com/glossary/content-gap ## Crawlability Crawlability is how easily an automated agent can reach and read a page's content. Pages behind logins, heavy client-side rendering, or restrictive robots rules are effectively invisible to AI systems. Read more: https://gensiv.com/glossary/crawlability ## Digital PR (for AI visibility) Digital PR in an AI visibility context is earning mentions and inclusion on the third-party pages that AI engines already cite for a category, such as review sites, comparison articles and community threads. It matters more in GEO than in classic SEO because AI answers are frequently assembled from third-party sources. Publishing on your own domain cannot change which external pages a model draws on. Read more: https://gensiv.com/glossary/digital-pr ## Funnel stage (prompt) Funnel stage classifies a tracked prompt by how close it sits to a purchase: awareness and research questions at the top, comparison and recommendation questions in the middle, pricing and where-to-buy questions at the bottom. Visibility is rarely even across stages. Appearing in research questions but not comparison questions is a specific, addressable weakness rather than a general one. Read more: https://gensiv.com/glossary/funnel-stage ## Generative engine optimization (GEO) *Also called: GEO, LLM SEO, LLMO* Generative engine optimization (GEO) is the practice of improving how AI assistants describe and recommend a brand when they generate an answer. It targets the content of the answer itself, rather than a position in a list of links. GEO differs from SEO in what it optimises for. SEO competes for a rank on a results page; GEO competes to be named, described accurately, and cited inside a generated answer. In practice that means influencing the sources a model draws on, which are frequently third-party pages rather than your own domain. Read more: https://gensiv.com/glossary/generative-engine-optimization ## Geo-targeting (AI visibility) Geo-targeting in AI visibility measurement means querying an AI assistant as though from a specific country or region, so the answer reflects what a buyer in that market would actually be shown. AI answers differ substantially by market because they draw on local sources, local language content and locally prominent brands. A single global figure usually hides more than it reveals. Read more: https://gensiv.com/glossary/geo-targeting ## Grounding Grounding is the practice of tying a model's generated answer to specific retrieved sources, so its claims can be traced back to evidence rather than produced from model memory alone. Read more: https://gensiv.com/glossary/grounding ## Hallucination A hallucination is a confident, fluent statement produced by a language model that is factually wrong or unsupported by any source. In a brand context it often appears as invented pricing, features, or positioning. Hallucinations about a brand are a visibility problem as much as an accuracy one. They usually indicate the model has thin or conflicting information about you, which is fixed by making accurate information prominent on sources it retrieves. Read more: https://gensiv.com/glossary/hallucination ## In-answer rank *Also called: position, answer position* In-answer rank is where a brand appears within an AI answer that lists several options. Appearing first carries substantially more weight than appearing fifth in the same answer. Read more: https://gensiv.com/glossary/in-answer-rank ## Knowledge cutoff A knowledge cutoff is the date after which a language model's training data ends. Without retrieval, the model has no knowledge of events, products or changes after that date. Cutoffs explain why an assistant may describe outdated positioning. They also explain why retrieval matters: a model with web access can discuss a launch from last week despite an older cutoff. Read more: https://gensiv.com/glossary/knowledge-cutoff ## llms.txt llms.txt is a proposed convention: a plain-text or markdown file at a site's root that summarises the site and links its key pages, so AI systems can read a clean version rather than parsing rendered HTML. It is a convention rather than a standard, and support is not guaranteed. Its practical value is that maintaining one forces a site to state plainly what it is and what it offers, which helps regardless of who reads it. Read more: https://gensiv.com/glossary/llms-txt ## Mention A mention is an occurrence of a brand name in the text of an AI-generated answer. It is distinct from a citation, which is a reference to the brand's website as a source behind that answer. A brand can be mentioned without being cited, and cited without being mentioned. Tracking them separately matters because they respond to different work: mentions follow from how the model understands your category, citations from whether your pages are retrievable and trusted. Read more: https://gensiv.com/glossary/mention ## Missing links Missing links are the specific pages an AI engine cites when answering a question where your competitors appear and you do not. Each one is a concrete gap between the sources a model trusts and the sources that represent you. The useful property of a missing link is that it is a URL, not a theme. That turns "our AI visibility is low" into a list of pages to publish on, pitch to, or contribute to. Read more: https://gensiv.com/glossary/missing-links ## Neutral querying *Also called: logged-out querying, stateless querying* Neutral querying is measuring AI answers in a fresh session with no account, history, memory or custom instructions, so the response reflects an anonymous user rather than a personalised one. Personalisation flatters. An assistant logged into an account that has discussed your brand is far more likely to mention it, which makes personalised measurement systematically optimistic and not comparable between clients. Read more: https://gensiv.com/glossary/neutral-querying ## Personalization (AI answers) Personalization is when an AI assistant tailors its answer using signals about the specific user, such as conversation history, saved memory, account settings or location. Read more: https://gensiv.com/glossary/personalization ## Position distribution Position distribution is the spread of a brand's in-answer ranks across all tracked answers, showing how often it places first, second, third and so on. It distinguishes two very different situations that a single average would hide: consistently mid-table, versus frequently first and frequently absent. Read more: https://gensiv.com/glossary/position-distribution ## Prompt (tracked) A tracked prompt is a single question monitored over time to measure how AI assistants answer it, for example "best CRM for startups". It is the unit of measurement in AI visibility, roughly analogous to a keyword in SEO. Effective tracked prompts name no brands. A question that mentions your brand will surface your brand, which measures nothing. Neutral category questions are the only ones that reveal whether a model recommends you unprompted. Read more: https://gensiv.com/glossary/prompt ## Query fan-out Query fan-out is when an AI system decomposes a single user question into several underlying searches, retrieves results for each, and synthesises one answer from the combined set. Fan-out means one visible question can be influenced by many hidden ones, so a brand can be excluded from an answer by losing a sub-query it never appeared to be competing for. Read more: https://gensiv.com/glossary/query-fan-out ## Retrieval-augmented generation (RAG) *Also called: RAG* Retrieval-augmented generation is a technique where a language model retrieves relevant documents at query time and uses them to generate its answer, rather than relying only on knowledge learned during training. RAG is why AI visibility can change without a model being retrained: if the retrieval step surfaces different sources, the answer changes. It is also why being present on retrievable, trusted pages matters more than model recency. Read more: https://gensiv.com/glossary/retrieval-augmented-generation ## robots.txt (AI crawlers) robots.txt is a file at a site's root that tells crawlers which paths they may request. AI companies operate their own named crawlers, such as GPTBot, ClaudeBot and PerplexityBot, which can be allowed or disallowed individually. Blocking AI crawlers removes a site from the corpus those systems retrieve from, which reduces the chance of being cited. It is a trade-off between content control and AI visibility, and worth making deliberately. Read more: https://gensiv.com/glossary/robots-txt ## Schema markup *Also called: structured data, JSON-LD* Schema markup is structured data added to a web page, usually as JSON-LD, that describes the page's content in a machine-readable vocabulary so search and answer engines can interpret it unambiguously. Read more: https://gensiv.com/glossary/schema-markup ## Search engine optimization (SEO) *Also called: SEO* Search engine optimization is the practice of improving a page's position in a search engine's ranked results, so more people click through to the site. SEO and GEO overlap but optimise for different outcomes: a rank in a list of links versus representation inside a generated answer. Much SEO groundwork, particularly crawlability and authority, still helps GEO. Read more: https://gensiv.com/glossary/search-engine-optimization ## Sentiment (AI answers) Sentiment in AI visibility is whether a brand is described positively, neutrally or negatively within a generated answer. It captures how a brand is characterised, separately from whether it appeared. Being mentioned with negative sentiment can be worse than not being mentioned, because the answer supplies a reason not to consider you at the exact moment of evaluation. Read more: https://gensiv.com/glossary/sentiment ## Share of voice (AI) *Also called: SoV* Share of voice in AI search is the proportion of tracked answers a brand appeared in, relative to every other brand that appeared in those answers. It converts an absolute visibility number into a competitive position. Share of voice answers the question a visibility rate cannot: is 30% good? If the category leader holds 70% you have a problem; if the field is fragmented at 10% each, 30% is dominance. Read more: https://gensiv.com/glossary/share-of-voice ## Tokenization Tokenization is the process of splitting text into the smaller units, called tokens, that a language model actually processes. A token is typically a word fragment rather than a whole word. Read more: https://gensiv.com/glossary/tokenization ## Visibility rate Visibility rate is the percentage of tracked AI answers in which a brand was mentioned. If a brand was named in 30 of 100 answers, its visibility rate is 30%. The denominator matters. A rate calculated over attempted queries rather than successful ones will understate visibility whenever an engine is unreachable, making infrastructure problems look like performance problems. Read more: https://gensiv.com/glossary/visibility-rate ## Zero-click search A zero-click search is one where the user gets what they needed from the results page or generated answer without visiting any website. The information transfer happens without a visit. Zero-click behaviour breaks the assumption that visibility produces traffic. A brand can be highly influential in AI answers while its analytics show nothing, which is why AI visibility needs measuring directly rather than inferring from sessions. Read more: https://gensiv.com/glossary/zero-click-search --- # Compare AI visibility platforms > How Gensiv compares to other AI visibility platforms on price, engine coverage, and what each gives you to act on. Canonical URL: https://gensiv.com/compare Product: Gensiv — Become the brand AI recommends --- Every competitor figure below is read from that competitor's own public pricing page and dated. Where something is not published, we say so rather than estimate. Each page also names the cases where the other tool is the better choice, including where it is cheaper than Gensiv. - **Gensiv vs Profound** — Both measure how AI assistants talk about your brand. The difference is what you get back: a monitoring dashboard, or a ranked list of pages to go earn. https://gensiv.com/compare/gensiv-vs-profound (verified 2026-07-26) - **Gensiv vs Searchable** — Searchable is cheaper per tracked prompt. Gensiv is free to start and hands you a ranked target list. Here is the honest trade-off. https://gensiv.com/compare/gensiv-vs-searchable (verified 2026-07-26) - **Gensiv vs Peec AI** — Peec AI is built around deliberate simplicity. Gensiv publishes what it costs and tells you which pages to go earn. https://gensiv.com/compare/gensiv-vs-peec-ai (verified 2026-07-26) - **Gensiv vs Otterly.AI** — Otterly.AI is the cheapest way into this category. Gensiv is free to start and goes further once you need to act on what you find. https://gensiv.com/compare/gensiv-vs-otterly (verified 2026-07-26) - **Gensiv vs AthenaHQ** — AthenaHQ prices by credits, Gensiv by tracked prompts. That one difference decides which is easier to budget. https://gensiv.com/compare/gensiv-vs-athenahq (verified 2026-07-26) --- # Gensiv vs Profound > Gensiv vs Profound compared on price, engine coverage, and what each actually gives you to act on. Gensiv starts free; Profound starts at $99/mo. Canonical URL: https://gensiv.com/compare/gensiv-vs-profound Product: Gensiv — Become the brand AI recommends --- Both measure how AI assistants talk about your brand. The difference is what you get back: a monitoring dashboard, or a ranked list of pages to go earn. Competitor facts sourced from https://www.tryprofound.com/pricing, last verified 2026-07-26. ## What Profound is good at Profound is the most established name in this category and is built for large enterprise marketing organisations, with the depth and account support that implies. If you are a Fortune 500 brand running a formal procurement process, they are a serious option and you should talk to them. ## Where Gensiv is different ### You can start without talking to anyone Gensiv has a genuinely free plan: one brand, five prompts, no credit card and no call. You can see whether AI names your brand this afternoon rather than after a discovery call and a trial provisioning. ### Every metric comes with a next move Gensiv's core output is the missing-links list: the exact pages your competitors are cited on and you are not, ranked by the buyer prompts that matter. That is a content and digital-PR punch list, not a score to report. ### Reddit is treated as a first-class source AI engines lean heavily on Reddit. Gensiv shows you the threads they already cite for your category, then watches for new ones and drafts replies you review and post yourself. Nothing is ever posted automatically. ## Gensiv vs Profound, side by side | | Gensiv | Profound | | --- | --- | --- | | Free plan | Yes, $0 forever: 1 brand, 5 prompts, no card | Not offered | | Entry paid price | $49/mo (Starter, 25 prompts) | $99/mo (Starter) | | ~100-prompt tier | $199/mo (Growth, 100 prompts) | $399/mo (Growth) | | Cost per tracked prompt | $1.99 | Not calculable, prompt counts not published | | Pricing published for every tier | Yes, all four plans | Starter and Growth listed; Enterprise is custom | | Team seats | Unlimited on every paid plan | Not publicly specified | | Ranked missing-links target list | Yes, the core output: exact pages competitors are cited on and you are not | Not advertised | | Reddit thread discovery + drafted replies | Yes, human-in-the-loop; Gensiv never auto-posts | Not advertised | | Agency / multi-brand | 10 client brands in isolated workspaces at $899/mo, unlimited seats | Not publicly specified | | Measurement method published | Yes, neutral logged-out sessions, documented in detail | Not documented publicly | ## When to choose Profound instead Pick Profound if you are an enterprise that needs a named account team, procurement-grade contracts, and the reassurance of the category's biggest brand, and if a custom quote is not a blocker. Gensiv is the better fit if you want to start measuring today and get an actionable target list rather than an enterprise engagement. ## Common questions ### Is Gensiv a Profound alternative? Yes. Both track how AI assistants like ChatGPT and Perplexity represent your brand, benchmark you against competitors, and map the sources behind each answer. Gensiv differs in having a free plan, publishing pricing at every tier, and shipping a ranked missing-links target list as its main output rather than a monitoring dashboard. ### How much does Profound cost compared to Gensiv? Profound publicly lists Starter at $99/month and Growth at $399/month, with Enterprise as custom pricing. Gensiv is $0 for the Free plan, then $49, $199 and $899 a month. Profound's entry tier is cheaper than Gensiv's Growth plan, so compare on the prompt volume and outputs you actually need rather than on headline price alone. ### Can I try Gensiv before paying? Yes, the Free plan is $0 with no credit card and tracks one brand across five prompts on ChatGPT. You can also request a free AI visibility report for any domain without creating an account at all. --- # Gensiv vs Searchable > Gensiv vs Searchable compared on price per prompt, engine coverage, free tiers, and what each gives you to act on. Honest comparison with sources. Canonical URL: https://gensiv.com/compare/gensiv-vs-searchable Product: Gensiv — Become the brand AI recommends --- Searchable is cheaper per tracked prompt. Gensiv is free to start and hands you a ranked target list. Here is the honest trade-off. Competitor facts sourced from https://www.searchable.com/pricing, last verified 2026-07-26. ## What Searchable is good at Searchable is a well-funded, fast-moving platform with a broad feature surface: content generation, technical audits, an AI agent, and a large published content library. On raw prompt volume for the money, their Pro plan is better value than Gensiv's Growth plan, and we would rather say so than have you discover it. ## Where Gensiv is different ### A real free plan, not a 14-day trial Searchable's entry point is a 14-day trial of Pro. Gensiv's Free plan is $0 indefinitely: one brand, five prompts, competitor tracking and geo-targeting, with no card and no expiry to diarise. ### The output is a target list, not more content Searchable leans on generating articles. Gensiv's answer to low visibility is to tell you exactly which existing pages AI already trusts in your category and which of them cite your competitors instead of you, ranked. You decide whether that becomes content or outreach. ### Every engine claim is checkable Gensiv states per-engine what is tracking today and what is still rolling out, rather than badging everything as live. For a measurement product, a number you can verify is worth more than a longer list you cannot. ## Gensiv vs Searchable, side by side | | Gensiv | Searchable | | --- | --- | --- | | Free plan | Yes, $0 forever: 1 brand, 5 prompts, no card | No free plan; 14-day trial of Pro | | Entry paid price | $49/mo (Starter, 25 prompts) | $125/mo (Pro, 100 prompts) | | ~100-prompt tier | $199/mo (Growth, 100 prompts) | $125/mo (Pro, 100 prompts) | | Cost per tracked prompt | $1.99 | $1.25 (Pro) — cheaper than Gensiv | | Pricing published for every tier | Yes, all four plans | Yes, Pro, Scale and Enterprise listed | | Team seats | Unlimited on every paid plan | Not publicly specified | | Ranked missing-links target list | Yes, the core output: exact pages competitors are cited on and you are not | Not advertised | | Reddit thread discovery + drafted replies | Yes, human-in-the-loop; Gensiv never auto-posts | Not advertised | | Agency / multi-brand | 10 client brands in isolated workspaces at $899/mo, unlimited seats | White-label reports on Scale ($400/mo, 500 prompts) | | Measurement method published | Yes, neutral logged-out sessions, documented in detail | Not documented publicly | ## When to choose Searchable instead Pick Searchable if cost per tracked prompt is your deciding factor, or if you want AI-generated articles and technical site audits inside the same tool. At 100 prompts they are meaningfully cheaper. Pick Gensiv if you want to start at zero, need the ranked missing-links output, or want Reddit outreach in the loop. ## Common questions ### Is Searchable cheaper than Gensiv? At the 100-prompt tier, yes. Searchable's Pro plan is $125/month for 100 tracked prompts ($1.25 per prompt) against Gensiv's Growth plan at $199/month for 100 prompts ($1.99 per prompt). Gensiv is cheaper at the bottom, where its Free plan is $0 and Starter is $49/month, and the two are closer at agency volume. ### What does Gensiv do that Searchable does not? Gensiv's main output is a ranked missing-links target list: the specific pages AI cites for prompts where your competitors appear and you do not. It also does Reddit thread discovery with human-reviewed draft replies, and publishes its measurement methodology in detail. Searchable's emphasis is broader, covering AI content generation and technical site audits. ### Can I use both? Plenty of teams trial more than one platform in this category, because the engines change quickly and no single tool sees everything. Gensiv's Free plan makes running it alongside another tool cost nothing. --- # Gensiv vs Peec AI > Gensiv vs Peec AI compared on pricing transparency, prompt volume, and outputs. Gensiv publishes every price; Peec AI's pricing is not listed publicly. Canonical URL: https://gensiv.com/compare/gensiv-vs-peec-ai Product: Gensiv — Become the brand AI recommends --- Peec AI is built around deliberate simplicity. Gensiv publishes what it costs and tells you which pages to go earn. Competitor facts sourced from https://peec.ai/pricing, last verified 2026-07-26. ## What Peec AI is good at Peec AI has a clear and defensible philosophy: keep it simple, set up your prompts, see your visibility, act on top citations. Teams who found other platforms cluttered say good things about that focus, and if a minimal surface is what you want, they deliver it. ## Where Gensiv is different ### You can see the price before you talk to sales Gensiv publishes all four plans and their limits. When we checked Peec AI's pricing page, plan names and prompt tiers were listed but the prices themselves were not shown, so you have to make contact to find out what it costs. ### Simplicity without losing the next step A simple dashboard tells you your visibility is low. Gensiv also hands you the ranked list of pages that already rank in your category and cite competitors instead of you, so the simplicity does not stop at the diagnosis. ### Seats are not a tax Every paid Gensiv plan includes unlimited team seats with role-based access, so bringing in your content lead and your agency does not change the bill. ## Gensiv vs Peec AI, side by side | | Gensiv | Peec AI | | --- | --- | --- | | Free plan | Yes, $0 forever: 1 brand, 5 prompts, no card | Not publicly listed | | Entry paid price | $49/mo (Starter, 25 prompts) | Not publicly listed | | ~100-prompt tier | $199/mo (Growth, 100 prompts) | Not publicly listed (plan tiers reference 50, 150 and 350 prompts) | | Cost per tracked prompt | $1.99 | Cannot be calculated, prices not published | | Pricing published for every tier | Yes, all four plans | No, prices not shown on the pricing page | | Team seats | Unlimited on every paid plan | Not publicly specified | | Ranked missing-links target list | Yes, the core output: exact pages competitors are cited on and you are not | Not advertised | | Reddit thread discovery + drafted replies | Yes, human-in-the-loop; Gensiv never auto-posts | Not advertised | | Agency / multi-brand | 10 client brands in isolated workspaces at $899/mo, unlimited seats | Multi-brand tracking offered for agencies; price not listed | | Measurement method published | Yes, neutral logged-out sessions, documented in detail | Not documented publicly | ## When to choose Peec AI instead Pick Peec AI if a deliberately minimal interface is the thing you value most and you do not mind a sales conversation to get a price. Their focus is real and some teams strongly prefer it. Pick Gensiv if you want published pricing, a free tier to evaluate on, and an actionable target list rather than a dashboard. ## Common questions ### How much does Peec AI cost? We could not verify Peec AI's prices from their public pricing page when we last checked on 26 July 2026: plan names (Starter, Pro, Advanced, Enterprise, Custom) and prompt tiers were shown, but the prices were not. Contact them directly for a current quote. Gensiv publishes all four of its plans: $0, $49, $199 and $899 a month. ### Is Gensiv a Peec AI alternative? Yes. Both track brand visibility in AI answers across engines and surface the sources those answers cite. Gensiv adds a ranked missing-links target list, Reddit thread discovery with drafted replies, and publishes pricing and methodology openly. ### Do I need to book a demo to try Gensiv? No. The Free plan is self-serve at $0 with no credit card, and you can get a free AI visibility report for any domain without creating an account. A demo is available if you want one, not required. --- # Gensiv vs Otterly.AI > Gensiv vs Otterly.AI compared on price per prompt, engine coverage and outputs. Otterly starts at $29/mo; Gensiv starts free. Honest comparison. Canonical URL: https://gensiv.com/compare/gensiv-vs-otterly Product: Gensiv — Become the brand AI recommends --- Otterly.AI is the cheapest way into this category. Gensiv is free to start and goes further once you need to act on what you find. Competitor facts sourced from https://www.otterly.ai/pricing/, last verified 2026-07-26. ## What Otterly.AI is good at Otterly.AI is well priced and straightforward, and its $29 Lite plan is the lowest paid entry point in this category. For a solo marketer who wants to watch a handful of prompts without a project, it is a sensible choice and cheaper per prompt than Gensiv's Growth plan. ## Where Gensiv is different ### Zero is cheaper than $29 Otterly's entry plan is $29/month for 15 prompts. Gensiv's Free plan is $0 for five prompts with competitor tracking and geo-targeting included, so evaluating costs nothing at all. ### Engines are not add-ons Otterly's plans cover four engines, with Claude, Gemini and Google AI Mode sold as add-ons. Gensiv's engine coverage is set by plan with no per-engine upsell, and each engine's current status is stated openly. ### From monitoring to a punch list Gensiv maps every source behind every answer and ranks the pages where competitors are cited and you are not, tied to the prompts that matter. That is the step after monitoring. ## Gensiv vs Otterly.AI, side by side | | Gensiv | Otterly.AI | | --- | --- | --- | | Free plan | Yes, $0 forever: 1 brand, 5 prompts, no card | Not offered; Lite starts at $29/mo | | Entry paid price | $49/mo (Starter, 25 prompts) | $29/mo (Lite, 15 prompts) | | ~100-prompt tier | $199/mo (Growth, 100 prompts) | $189/mo (Standard, 100 prompts) | | Cost per tracked prompt | $1.99 | $1.89 (Standard) — cheaper than Gensiv | | Pricing published for every tier | Yes, all four plans | Yes, Lite, Standard and Premium listed; Enterprise custom | | Team seats | Unlimited on every paid plan | Not publicly specified | | Ranked missing-links target list | Yes, the core output: exact pages competitors are cited on and you are not | Not advertised | | Reddit thread discovery + drafted replies | Yes, human-in-the-loop; Gensiv never auto-posts | Not advertised | | Agency / multi-brand | 10 client brands in isolated workspaces at $899/mo, unlimited seats | Not publicly specified | | Measurement method published | Yes, neutral logged-out sessions, documented in detail | Not documented publicly at the level of session neutrality | ## When to choose Otterly.AI instead Pick Otterly.AI if you want the cheapest paid plan available and 15 prompts is genuinely enough, or if their four-engine coverage matches what you care about. At 100 prompts they are cheaper per prompt than Gensiv. Pick Gensiv if you want to start at $0, avoid per-engine add-ons, or need the missing-links output and Reddit outreach. ## Common questions ### Is Otterly.AI cheaper than Gensiv? Per tracked prompt at the 100-prompt tier, yes: Otterly's Standard plan is $189/month for 100 prompts ($1.89 each) against Gensiv's Growth plan at $199/month for 100 prompts ($1.99 each). Gensiv is free at the bottom of the range, where Otterly's cheapest plan is $29/month. ### Which AI engines does each cover? Otterly.AI's plans cover Google AI Overviews, ChatGPT, Perplexity and Microsoft Copilot, with Claude, Gemini and Google AI Mode available as add-ons, as listed on their pricing page. Gensiv covers ChatGPT, Perplexity, Google AI Overviews, Gemini, Copilot and Claude, with per-engine status stated openly on the pricing page and no per-engine add-on charges. ### What is the main functional difference? Otterly.AI concentrates on monitoring and reporting your AI search presence. Gensiv adds the improvement layer: a ranked list of the exact pages to earn, plus Reddit thread discovery with human-reviewed draft replies. --- # Gensiv vs AthenaHQ > Gensiv vs AthenaHQ compared on pricing model, engine coverage and outputs. AthenaHQ bills by credits from $295/mo; Gensiv bills by tracked prompts from free. Canonical URL: https://gensiv.com/compare/gensiv-vs-athenahq Product: Gensiv — Become the brand AI recommends --- AthenaHQ prices by credits, Gensiv by tracked prompts. That one difference decides which is easier to budget. Competitor facts sourced from https://www.athenahq.ai/pricing, last verified 2026-07-26. ## What AthenaHQ is good at AthenaHQ covers a wide set of AI models and leans into agent-driven analysis, with a credit-based model that flexes to however you use it. If your usage is spiky and you like paying for what you consume, that model suits you and their model coverage is broad. ## Where Gensiv is different ### A bill you can predict Gensiv charges a flat monthly price for a fixed number of tracked prompts, so the cost of measuring your category does not move with how much you use it. AthenaHQ's Starter plan is $295/month carrying 3,600 credits, which means forecasting spend requires forecasting consumption. ### Free means free, not credits AthenaHQ's Essential tier is free with a $25 credit allowance. Gensiv's Free plan has no credit meter: one brand and five prompts, tracked on a recurring schedule, indefinitely. ### The improvement layer is the product Gensiv exists to turn measurement into a next move: the ranked missing-links list of pages competitors are cited on and you are not, plus Reddit threads worth joining, with replies you approve before anything is posted. ## Gensiv vs AthenaHQ, side by side | | Gensiv | AthenaHQ | | --- | --- | --- | | Free plan | Yes, $0 forever: 1 brand, 5 prompts, no card | Essential tier, free with a $25 credit allowance | | Entry paid price | $49/mo (Starter, 25 prompts) | $295/mo (Starter, credit-based) | | ~100-prompt tier | $199/mo (Growth, 100 prompts) | $295/mo (Starter, 3,600 credits) | | Cost per tracked prompt | $1.99 | Not comparable, billed by credits rather than tracked prompts | | Pricing published for every tier | Yes, all four plans | Yes, Essential and Starter listed; Enterprise custom | | Team seats | Unlimited on every paid plan | Unlimited members on Essential per their pricing page | | Ranked missing-links target list | Yes, the core output: exact pages competitors are cited on and you are not | Not advertised | | Reddit thread discovery + drafted replies | Yes, human-in-the-loop; Gensiv never auto-posts | Not advertised | | Agency / multi-brand | 10 client brands in isolated workspaces at $899/mo, unlimited seats | Not publicly specified | | Measurement method published | Yes, neutral logged-out sessions, documented in detail | Not documented publicly | ## When to choose AthenaHQ instead Pick AthenaHQ if you want coverage across the widest set of AI models, prefer consumption-based billing, or need enterprise features like SSO and audit logs on a documented tier. Pick Gensiv if you want a predictable flat bill per tracked prompt, a free plan with no credit meter, and the missing-links target list as the main output. ## Common questions ### How does AthenaHQ's pricing compare to Gensiv's? AthenaHQ lists a free Essential tier with a $25 credit allowance and a Starter plan at $295/month carrying 3,600 credits, with Enterprise as custom pricing. Gensiv charges flat monthly prices for fixed prompt volumes: $0, $49, $199 and $899. The models differ, so compare on the prompt volume you need rather than headline price. ### Is credit-based or prompt-based pricing better? It depends on how steady your usage is. Credits suit spiky, exploratory work where you would rather not pay for idle capacity. A fixed prompt allowance suits ongoing measurement, where you want the same prompts tracked on the same schedule every week and a bill that does not move. Gensiv is built for the second case. ### Is Gensiv an AthenaHQ alternative? Yes. Both measure brand presence in AI-generated answers and benchmark against competitors. Gensiv differs in billing by tracked prompt rather than credit, offering a free plan with no credit meter, and shipping a ranked missing-links target list plus Reddit outreach as its core improvement workflow. --- # Gensiv blog > Field notes and playbooks on AI brand visibility and generative engine optimization. Canonical URL: https://gensiv.com/blog Product: Gensiv — Become the brand AI recommends --- - **GEO for Agencies: Turning AI Visibility Into a Client Retainer** (2026-07-23T00:00:00.000Z) — GEO for agencies turns AI visibility into a recurring, white-label deliverable: visibility rate, share of voice, citations, and Reddit threads. https://gensiv.com/blog/geo-for-agencies-client-retainer - **The GEO Metrics That Matter: Visibility Rate, Rank, Sentiment, Share of Voice** (2026-07-20T00:00:00.000Z) — The GEO metrics that matter, visibility rate, rank, sentiment, and share of voice, plus how to turn each one into a next action. https://gensiv.com/blog/geo-metrics-that-matter - **AI Visibility by Engine: ChatGPT, Perplexity, Gemini, AI Overviews, Copilot, Claude** (2026-07-15T00:00:00.000Z) — AI search engines visibility is not one number. Here is how the six engines differ and what to watch on each, per engine and per country. https://gensiv.com/blog/ai-visibility-by-engine - **How We Measure AI Visibility Accurately: Neutral, Logged-Out Querying Explained** (2026-07-10T00:00:00.000Z) — Accurate AI visibility measurement needs neutral, logged-out querying. Here is why personalization pollutes results and how Gensiv keeps it decision-grade. https://gensiv.com/blog/how-we-measure-ai-visibility-accurately - **GEO vs SEO vs AEO in 2026: What Marketing Teams Actually Need** (2026-07-07T00:00:00.000Z) — GEO vs SEO vs AEO explained for 2026: clear definitions, what to keep from SEO, what is new, and a practical priority order for marketing teams. https://gensiv.com/blog/geo-vs-seo-vs-aeo-2026 - **Why Reddit Shows Up in AI Answers (and How to Use It Without Spamming)** (2026-07-02T00:00:00.000Z) — Reddit AI answers explained: why engines cite Reddit, how to find the threads AI already quotes, and how to engage without spamming. https://gensiv.com/blog/why-reddit-appears-in-ai-answers - **Share of Voice in AI Answers: Benchmarking Your Brand Against Competitors** (2026-06-27T00:00:00.000Z) — AI share of voice measures how often AI answers name you versus competitors. Here is what it means, how to benchmark it, and how to track it over time. https://gensiv.com/blog/share-of-voice-in-ai-answers - **How to Get Cited by ChatGPT and Perplexity: The Citations and Missing-Links Playbook** (2026-06-24T00:00:00.000Z) — How to get cited by ChatGPT and Perplexity: map the sources AI pulls, find where competitors are cited and you are not, build a ranked target list. https://gensiv.com/blog/get-cited-by-chatgpt-perplexity - **AI Brand Visibility: How to Know If ChatGPT Recommends Your Brand** (2026-06-19T00:00:00.000Z) — AI brand visibility is a rate, not a screenshot. Track how often ChatGPT and other engines name your brand, at what rank, and how favorably. https://gensiv.com/blog/measure-ai-brand-visibility - **What Is Generative Engine Optimization (GEO)? A 2026 Guide for Marketing Teams** (2026-06-16T00:00:00.000Z) — Generative engine optimization (GEO) is how you measure and improve the way AI assistants recommend your brand. A 2026 guide for marketing teams. https://gensiv.com/blog/what-is-generative-engine-optimization - **Hello, Gensiv Blog** (2026-06-12T00:00:00.000Z) — Why we're launching a blog, and what to expect from it, practical notes on AI brand visibility and generative engine optimization. https://gensiv.com/blog/hello-world --- # GEO for Agencies: Turning AI Visibility Into a Client Retainer > GEO for agencies turns AI visibility into a recurring, white-label deliverable: visibility rate, share of voice, citations, and Reddit threads. Canonical URL: https://gensiv.com/blog/geo-for-agencies-client-retainer Product: Gensiv — Become the brand AI recommends --- Published: 2026-07-23T00:00:00.000Z Author: Gensiv Team Tags: gensiv, geo, aeo, agencies, white-label, retainer, share-of-voice --- GEO for agencies is the practice of measuring and improving how AI assistants represent a client's brand, then packaging that measurement as a recurring, reportable service. In short: you already report on rankings and traffic, and now your clients want to know whether ChatGPT, Perplexity, and Gemini name them when a buyer asks. That answer is a new deliverable, and it is one you can charge for. Buyers now ask an assistant before they open a page of blue links. The AI answer is the new shelf, and most brands cannot see whether they are on it. That is the gap your agency can own. ## Why GEO for agencies is a retainer, not a one-off audit An audit is a snapshot. GEO is a trendline. AI answers vary run to run, so a single manual spot-check tells a client almost nothing. What they need is the same question asked on a schedule, across engines and markets, with the variance stabilized into a rate they can act on. That is inherently recurring work, which is exactly what a retainer is built for. You are not selling a PDF. You are selling an ongoing answer to a question the client will keep asking every month: "Are we the brand AI recommends?" The three client pains this addresses map directly to what your existing SEO clients already feel: - Their analytics stops at clicks, so they have zero visibility into what assistants say about them. - Competitors show up in AI answers and they have no way to see which sources drive it. - Manual checks return a different answer every run, so the signal is lost in noise. ## What you actually put in the report Gensiv gives you the concrete deliverables behind the pitch. Not a vanity dashboard, but numbers a client can defend in a board meeting: - **AI Visibility Analytics:** visibility rate (how often an engine names the client), rank, sentiment, and trendlines over time, stable across answer variance. - **Share of Voice:** the client's share of every AI answer benchmarked against each named competitor, tracked over time, with competitors auto-suggested from the domain. - **Citations & Missing Links:** every source behind every answer, including the pages where a competitor is cited and the client is not, turned into a ranked, prompt-prioritized target list. - **AI Opportunities:** the exact Reddit threads that engines already quote for the client's prompts, with engine attribution. This is your content and outreach roadmap. That last point matters. Reddit is where a lot of AI citations come from, and Gensiv surfaces the threads value-first. Any reply your team drafts is human reviewed and disclosed. Gensiv never auto-posts, so your agency stays in control of the client's voice. ## The Agency plan and white-label The Agency plan is built for this workflow: 10 brands, 400 prompts, all 6 engines refreshed daily, 2,000 outreach threads per brand, and white-label client reports. Unlimited seats and CSV or PDF export are included on every paid plan, so you can hand a client a branded report without a per-user tax. Here is an illustrative margin sketch (hypothetical, your pricing will differ): | Item | Illustrative figure | |------|--------------------| | Agency plan | $899/mo ($8,091/yr) | | Clients tracked | up to 10 brands | | GEO line added per client | your retainer, e.g. a few hundred/mo | | Result | one platform cost spread across a portfolio | The point is not the exact number. It is that GEO becomes a portfolio-wide line item on a single tool cost, and annual billing saves roughly 25%. ## Why the measurement has to be neutral If your report is going to survive client scrutiny, it cannot be one person's logged-in ChatGPT reflecting their own history. Gensiv measures logged-out, in fresh anonymous sessions with no account memory or personalization, so the visibility rate reflects what a real prospect sees, not what the account happens to remember. That is the difference between a decision-grade report and a screenshot. ## Takeaway Your clients are already asking how they show up in AI. GEO for agencies turns that question into a recurring, white-label deliverable with real numbers behind it: visibility rate, share of voice, citations, and the Reddit threads engines already quote. Start on the Free plan (no card) to see if AI recommends your own agency first, then bring your clients onto the Agency plan. Sign up at gensiv.com/signup, or book a demo on the site. --- # The GEO Metrics That Matter: Visibility Rate, Rank, Sentiment, Share of Voice > The GEO metrics that matter, visibility rate, rank, sentiment, and share of voice, plus how to turn each one into a next action. Canonical URL: https://gensiv.com/blog/geo-metrics-that-matter Product: Gensiv — Become the brand AI recommends --- Published: 2026-07-20T00:00:00.000Z Author: Gensiv Team Tags: gensiv, geo, aeo, metrics, visibility-rate, share-of-voice, analytics --- Your buyers now open ChatGPT, Perplexity, or Gemini before they open Google. The AI answer is the new shelf, and most marketing teams have never seen how they sit on it. Your analytics still stop at clicks and rankings, while the actual first touchpoint happens inside a model you cannot log into as your customer. **The four GEO metrics that matter are visibility rate, rank, sentiment, and share of voice.** Together they tell you how often AI names you, where you land in the answer, how it talks about you, and how much of the conversation you own versus each competitor. Everything else is a vanity number. Here is how to read each one and turn it into a next action. ## Why GEO metrics are different from SEO metrics SEO measures rank on a page of links. GEO measures whether the machine that replaced that page recommends you at all. The catch is variance. Ask the same question twice and the model may answer differently, so a single manual spot-check is noise, not signal. The fix is measurement that is neutral and repeatable. Gensiv queries every engine logged-out, in fresh anonymous sessions, with no account memory or personalization. That is what makes the number decision-grade instead of a rough approximation shaped by your own history with the tool. ## Visibility rate: how often AI names you Visibility rate is the percentage of AI answers to your tracked prompts that mention your brand at all. It is the headline metric. If AI never names you, rank and sentiment do not exist yet. Because answers vary run to run, a stable visibility rate only comes from repeated scheduled runs, not a one-off check. Gensiv runs daily on paid plans and every 3 days on Free, then holds the rate steady across that answer variance. - Read it as: your baseline presence in the AI answer. - Next action if it is low: you have a citation problem, not a ranking problem. Move to citations and Reddit (below). - Next action if it is climbing: protect it, and widen to more prompts and engines. ## Rank and sentiment: position and tone Rank tells you where you appear once you are named. First-listed and recommended is very different from a footnote after three competitors. Sentiment tells you how the model characterizes you: confident and positive, neutral, or hedged and negative. | Metric | Question it answers | If it is weak | |---|---|---| | Visibility rate | Does AI name us? | Fix citations and sources | | Rank | Where do we land? | Strengthen the pages AI leans on | | Sentiment | How does AI describe us? | Address the narrative gap | Sentiment is the one teams skip and the one that quietly costs deals. Being named with a hedge ("an option, though smaller than X") is a different problem from not being named at all. ## Share of voice: you versus named competitors Share of voice benchmarks the slice of every AI answer you own against each tracked competitor, over time. This is the metric that turns "we think we are behind" into a specific gap against a specific rival. Gensiv auto-suggests competitors from your domain, then tracks the split as it moves. Share of voice is a paid feature. Read it as a scoreboard. When a competitor's share climbs, the next move is to find the sources driving it. Citations and Missing Links maps every source behind every answer and surfaces the exact pages where competitors are cited and you are not, as a ranked, prompt-prioritized target list. ## From metric to action The point of GEO metrics is not a prettier dashboard, it is a shortlist of things to do this week: 1. Low visibility rate: earn citations on the sources AI already trusts. 2. Poor rank: strengthen the specific pages the model leans on. 3. Negative sentiment: fix the narrative, not just the traffic. 4. Losing share of voice: go get cited where your competitor is. Gensiv also shows the exact Reddit threads engines already quote for your prompts (free on every plan), with engine attribution, so you know where the conversation is happening. ## Takeaway Vanity claim: "we are doing GEO." Concrete deliverable: a stable visibility rate, a rank, a sentiment read, and a share-of-voice split against named competitors, measured neutrally across every engine. You can see your own numbers today. Gensiv's Free plan tracks 1 brand and 5 prompts on ChatGPT with no card required. Start at gensiv.com/signup, or book a demo on the site, and find out whether AI recommends your brand. --- # AI Visibility by Engine: ChatGPT, Perplexity, Gemini, AI Overviews, Copilot, Claude > AI search engines visibility is not one number. Here is how the six engines differ and what to watch on each, per engine and per country. Canonical URL: https://gensiv.com/blog/ai-visibility-by-engine Product: Gensiv — Become the brand AI recommends --- Published: 2026-07-15T00:00:00.000Z Author: Gensiv Team Tags: gensiv, geo, aeo, ai-visibility, chatgpt, perplexity, gemini, ai-overviews, copilot, claude --- # AI Visibility by Engine: ChatGPT, Perplexity, Gemini, AI Overviews, Copilot, Claude Ask your category's top question in ChatGPT right now. Then ask the same question in Perplexity, Gemini, Google AI Overviews, Copilot, and Claude. You will get six different answers, six different sets of cited sources, and quite possibly six different verdicts on whether your brand is worth naming. That is the core problem with AI search engines visibility today: there is no single answer to measure, and most teams are not measuring any of them. **Direct answer:** AI visibility is not one number. Each engine retrieves, ranks, and cites differently, so a brand can be recommended in Perplexity and invisible in Gemini at the same time. To manage it you need per-engine and per-country measurement, tracked over time, not a one-off spot check. Your web analytics stops at the click. It cannot see the answer a buyer read before they ever reached a link, or the recommendation they acted on without clicking at all. That answer is the new shelf, and right now nobody on your team can see how you are placed on it. You cannot improve what you refuse to measure. ## Why AI search engines visibility differs by engine The six engines are not skins on the same model. They differ in the training and retrieval behind each answer, in how heavily they lean on live web sources versus model memory, and in how they attribute what they cite. Perplexity is citation-forward and surfaces its sources plainly. Google AI Overviews sits on top of the search index most of your buyers already use. ChatGPT and Claude answer conversationally and cite more selectively. Copilot pulls from its own web layer. Gemini blends Google signals with its own model behavior. The practical consequence: being named in one engine tells you almost nothing about the other five. A per-engine breakdown is not a nice-to-have. It is the unit of truth. ## What to watch on each engine For every engine you track, four signals matter more than raw impressions: - **Visibility rate**: how often the engine names your brand for a tracked prompt. - **Rank**: where you land when several brands are named in one answer. - **Sentiment**: whether the mention is positive, neutral, or a warning. - **Citations**: which exact sources the engine pulled to build the answer. Gensiv tracks all six engines: ChatGPT, Perplexity, Gemini, Google AI Overviews, Claude, and Copilot. Watch each one separately. A rising visibility rate in Perplexity paired with a flat one in AI Overviews is a very different brief for your team than an even climb across the board. ## Why per-country coverage matters too The same prompt in the same engine can return a different brand list in Berlin than it does in Bangalore. Buyers in different markets get different recommendations, and a brand that dominates one region can be absent in the next. Gensiv covers 190+ markets with per-engine and per-country breakdowns and geo-targeting by country, so you see your real footprint instead of assuming your home market is the whole world. | Signal | Vanity version | Decision-grade version | |---|---|---| | Presence | "We show up in AI" | Visibility rate per engine, per country, over time | | Standing | "We rank well" | Named rank vs each tracked competitor | | Tone | "The AI likes us" | Sentiment scored on every mention | | Cause | "AI knows us" | The exact sources behind each answer | ## Answer variance, and how we handle it Run the same prompt twice and the wording changes. That is normal, and it is exactly why manual spot-checks fail: your signal drowns in run-to-run noise. Gensiv produces a stable visibility rate across that variance and runs on a schedule, daily on paid plans and every 3 days on Free, so you are reading a trendline instead of a single lucky or unlucky roll. We measure neutrally and logged-out: fresh anonymous sessions, no account memory, no personalization. That is a deliberate choice. It is the difference between a decision-grade number and a rough approximation shaped by whatever your own logged-in history happens to be. We hold ourselves to it too. Gensiv tracks Gensiv on the Free plan and publishes the real numbers as we build in public. ## Takeaway There is no such thing as your AI visibility. There are six of them, across every market you sell into, and they move independently. Treat them as one number and you will optimize blind. Measure them per engine and per country, over time, and you have a brief your team can actually act on. See if AI recommends your brand. The Free plan is $0, no card required: track one brand and five prompts on ChatGPT with a refresh every 3 days at gensiv.com/signup. Want all six engines daily across your competitors and markets? Book a demo on the site. --- # How We Measure AI Visibility Accurately: Neutral, Logged-Out Querying Explained > Accurate AI visibility measurement needs neutral, logged-out querying. Here is why personalization pollutes results and how Gensiv keeps it decision-grade. Canonical URL: https://gensiv.com/blog/how-we-measure-ai-visibility-accurately Product: Gensiv — Become the brand AI recommends --- Published: 2026-07-10T00:00:00.000Z Author: Gensiv Team Tags: gensiv, geo, aeo, methodology, ai-visibility, build-in-public --- # How We Measure AI Visibility Accurately: Neutral, Logged-Out Querying Explained Most AI visibility measurement is quietly broken before the first number lands. Someone on the team opens ChatGPT, types the category question, sees the brand named, and calls it a win. The next day a colleague runs the same prompt from their own logged-in account and gets a completely different answer. Nobody knows which one is real. **The short answer: accurate AI visibility measurement requires neutral, logged-out sessions with no account memory or personalization, so the result reflects what a fresh buyer sees, not what the model learned about you.** That is the method Gensiv uses on every run. ## Why personalization pollutes AI visibility measurement AI assistants are built to remember. Logged-in sessions carry account history, prior chats, saved preferences, location signals, and inferred interests. That is great for the user and terrible for measurement. When you query from your own account, the model has often already seen you research, mention, or click your own brand. It hands that brand back to you and you mistake a mirror for the market. This creates three failure modes for in-house marketing and SEO teams: - **Self-contamination.** Your own account carries your own behavior into the session, so the model over-names you to you. - **Multi-client contamination.** One person checking many brands blurs signals across sessions, and answers bleed together. - **Noise mistaken for signal.** Answers vary run to run anyway, so a single manual spot-check tells you almost nothing. None of that is decision-grade. It is a vanity glance dressed up as data. ## What neutral, logged-out querying actually means Gensiv queries every engine the way an anonymous buyer would: a fresh session, no account, no memory, no personalization carried in. Same prompt, same conditions, every time. The result is the answer a real prospect gets when they ask cold, which is the only answer that should inform a budget. | Approach | What it reflects | Decision-grade? | |---|---|---| | Logged-in manual check | Your history and preferences | No | | One-off anonymous check | A single noisy draw | Barely | | Neutral, scheduled, repeated | The market's real answer, averaged | Yes | We run this across all 6 engines: ChatGPT, Perplexity, Gemini, Google AI Overviews, Claude, and Copilot, in 190+ markets. ## Stability across answer variance A single neutral query is honest but still noisy, because generative answers are probabilistic. So Gensiv runs prompts on a schedule (daily on paid plans, every 3 days on Free) and reports a stable visibility rate: how often AI actually names you across many runs, plus rank and sentiment as trendlines over time. One answer is an anecdote. A rate across scheduled runs is a metric you can take to a planning meeting. ## We measure ourselves the same way This is not a claim we make from the sidelines. Gensiv tracks Gensiv on our own Free plan, logged-out, and publishes the real numbers as we grow. Building in public keeps the methodology honest: if the measurement were flattering by design, we would be lying to ourselves first. ## Takeaway If your AI visibility number came from a logged-in account or a single lucky run, it is not measurement, it is a mood. Accurate AI visibility measurement is neutral, logged-out, repeated, and stable across variance. That is the difference between a vanity screenshot and a number you can defend. Curious whether AI recommends your brand? Start free at gensiv.com/signup. No card required, 1 brand, 5 prompts on ChatGPT, refreshed every 3 days. Or book a demo on the site to see the full picture across all 6 engines. --- # GEO vs SEO vs AEO in 2026: What Marketing Teams Actually Need > GEO vs SEO vs AEO explained for 2026: clear definitions, what to keep from SEO, what is new, and a practical priority order for marketing teams. Canonical URL: https://gensiv.com/blog/geo-vs-seo-vs-aeo-2026 Product: Gensiv — Become the brand AI recommends --- Published: 2026-07-07T00:00:00.000Z Author: Gensiv Team Tags: gensiv, geo, aeo, seo, ai-search, marketing --- # GEO vs SEO vs AEO in 2026: What Marketing Teams Actually Need Ask your category's top buying question in ChatGPT right now. Are you named? For most B2B brands the honest answer is "we have no idea," and that gap is exactly what GEO vs SEO vs AEO is really about. **Short answer:** SEO optimizes for ranking on a page of links. AEO (answer engine optimization) optimizes to be the answer a search engine shows directly. GEO (generative engine optimization) optimizes for how AI assistants describe and recommend your brand when they generate an answer. In 2026 you need all three, but the priority order has shifted. AI is now the new first touchpoint. Buyers ask ChatGPT, Perplexity, Gemini, Google AI Overviews, Claude, and Copilot before they ever open a list of ten blue links. The AI answer is the new shelf, and most teams cannot see whether they are on it. ## GEO vs SEO vs AEO: the definitions that matter Here is the distinction without the jargon. - **SEO** wins a position on a results page. The deliverable is rank for a keyword, and the buyer still has to click. - **AEO** wins the featured answer, the snippet or the AI Overview box, so the buyer often does not click at all. - **GEO** wins the recommendation itself. When an assistant generates a paragraph naming vendors for a job, GEO is whether that paragraph names you, where you rank in it, and whether it speaks about you positively. The vanity version of this is "we rank on page one." The concrete version is "when a buyer asks Perplexity to compare tools in our category, we are named in the first two, with correct positioning." Those are not the same win. ## What to keep from SEO Plenty. GEO is not a teardown of SEO, it is a layer on top. Assistants still read the open web. Clear, well-structured content, credible sources, and pages that actually answer a question are the raw material AI models cite. Technical hygiene, topical depth, and being genuinely referenced by other sites all still matter. If SEO built your content foundation, GEO decides how much of that foundation the machines quote back to buyers. ## What is genuinely new The new part is measurement, and it is harder than a rank tracker. An AI answer is generated, so it varies run to run. Ask the same question twice and the wording, and sometimes the brands named, will differ. Manual spot-checks return a different answer each time, so the signal drowns in noise. Personalization makes it worse: if you check from your own logged-in account, the model may already know you and hand back a flattering, contaminated result. This is why Gensiv measures logged-out, in fresh anonymous sessions, with no account memory or personalization, and stabilizes a visibility rate across that answer variance. That is the difference between a rough impression and a decision-grade number. ## A practical priority order for 2026 You do not have to choose one discipline. You do have to sequence them. | Step | Focus | Why it comes here | |------|-------|-------------------| | 1 | Measure GEO | You cannot fix what you cannot see. Get your visibility rate, rank, and sentiment across engines first. | | 2 | Keep SEO healthy | It feeds the sources AI cites. Do not let the foundation rot. | | 3 | Win AEO answers | Structure content to be the direct answer, not just a link. | | 4 | Earn citations | Find where competitors are cited and you are not, then close the gap. | Start with measurement because the rest is guesswork without it. Once you can see your visibility rate move, every content and PR decision has a scoreboard. ## The takeaway SEO measures rank on a page of links. GEO measures whether the machine that replaced that page recommends you. In 2026, marketing teams need both, plus AEO in the middle, but the first honest step is admitting you have never actually seen your AI visibility rate. Your buyers have. Gensiv tracks how AI assistants represent your brand across all six engines and 190+ markets, measured neutrally so the number is one you can act on. The Free plan is $0, no card, and tracks one brand on ChatGPT so you can see, this week, whether AI recommends you. Start at gensiv.com/signup, or book a demo on the site. --- # Why Reddit Shows Up in AI Answers (and How to Use It Without Spamming) > Reddit AI answers explained: why engines cite Reddit, how to find the threads AI already quotes, and how to engage without spamming. Canonical URL: https://gensiv.com/blog/why-reddit-appears-in-ai-answers Product: Gensiv — Become the brand AI recommends --- Published: 2026-07-02T00:00:00.000Z Author: Gensiv Team Tags: gensiv, geo, aeo, reddit, citations, ai-search --- # Why Reddit Shows Up in AI Answers (and How to Use It Without Spamming) Ask ChatGPT, Perplexity, or Google AI Overviews to recommend a tool in your category, and watch where the answer comes from. A surprising share of the time, it traces back to Reddit. If you want to understand Reddit AI answers, and how to influence them without becoming spam, this is the piece for you. ## Reddit AI answers, in short AI engines cite Reddit because it is dense with real, specific, first-person experience: people asking exactly what buyers ask, and other people answering with detail no marketing page carries. That candor reads as trustworthy signal to a model assembling an answer, so threads get quoted, summarized, and named as sources. That is the opportunity, and also the trap. The instinct is to go post. Do that carelessly and you get removed, downvoted, and remembered by the community. The durable play is different, and it starts with measurement. ## Why Reddit punches above its weight as an AI source Search engines rank pages. Answer engines assemble responses, and they lean on sources that look like genuine consensus. Reddit gives them: - **Question-shaped content.** Thread titles mirror buyer intent almost word for word. - **First-person specificity.** Real tradeoffs, real edge cases, real product names in context. - **Freshness and volume.** Categories get re-litigated constantly, so there is always recent material. - **Apparent neutrality.** A recommendation from a stranger reads differently than a vendor claim. The result: for many B2B categories, the thread your buyer never sees is quietly shaping the answer they do see. This is the core of getting cited, not just counted. ## Find the threads AI already quotes about you Before you write a single reply, you need to know which threads matter. Guessing wastes effort and courts spam. This is exactly what Gensiv's AI Opportunities does, and it is free on every plan, including the no-card Free tier. For your tracked prompts, Gensiv surfaces the exact Reddit threads that AI engines are already citing, with engine attribution so you can see whether the pull is coming from ChatGPT, Perplexity, Gemini, and the rest. Instead of a vanity claim like "Reddit matters for AI," you get a concrete deliverable: a named list of threads, tied to the questions your buyers are asking, tied to the engines that quote them. That turns a vague content chore into a targeting problem you can actually solve. ## How to engage without spamming Once you know the threads, the rule is simple. Add value first, disclose your affiliation, and never drop a link where a genuine answer belongs. If you work for the brand you mention, say so plainly in the comment. Do not post the same reply across threads, do not lead with a link, and do not treat Reddit as a distribution channel. Communities detect and punish that fast. The goal is to be the most useful answer, and to be honest about who you are. Gensiv's Outreach & AI Replies (on paid plans) supports this instead of automating it away. It actively discovers new relevant threads, scores each for relevance out of 100 so you spend time where it counts, and drafts a reply you can edit. The human-in-the-loop part is the point: Gensiv never auto-posts. A person reads, edits, decides, and publishes. That is what keeps outreach value-first rather than spam. ## A quick way to think about it | Vanity move | Decision-grade move | |---|---| | "We should be on Reddit" | Track which threads AI actually cites for your prompts | | Post links everywhere | Reply where you add value, disclosed, one thread at a time | | Hope it helps | Watch visibility rate and citations move over time | ## Takeaway Reddit shows up in AI answers because it reads as honest, specific, and human. You can benefit from that, but only if you measure first and engage with restraint. See which threads the engines quote, add real value, disclose who you are, and let a human make the call before anything posts. Gensiv tracks its own AI visibility on its own Free plan and publishes the numbers, because neutral, logged-out measurement is the only version worth trusting. Want to see which Reddit threads AI already cites about your category? Start free at gensiv.com/signup, no card required, and find out whether AI recommends your brand. --- # Share of Voice in AI Answers: Benchmarking Your Brand Against Competitors > AI share of voice measures how often AI answers name you versus competitors. Here is what it means, how to benchmark it, and how to track it over time. Canonical URL: https://gensiv.com/blog/share-of-voice-in-ai-answers Product: Gensiv — Become the brand AI recommends --- Published: 2026-06-27T00:00:00.000Z Author: Gensiv Team Tags: geo, aeo, share-of-voice, ai-visibility, competitive-benchmarking --- # Share of Voice in AI Answers: Benchmarking Your Brand Against Competitors When a buyer asks ChatGPT or Perplexity to name the best tools in your category, a handful of brands get mentioned. AI share of voice is the percentage of those answers that name you versus the competitors named alongside you. It is the single number that tells you whether the machine that now sits between your buyer and your website actually recommends you, or quietly recommends someone else. Old-world share of voice measured your slice of ad spend or search impressions. That framing is breaking. Buyers increasingly ask an AI assistant before they run a search, so the answer is the new shelf, and most brands cannot see their position on it. ## What AI share of voice actually measures Visibility rate tells you how often an engine names you at all. AI share of voice goes one step further and asks: of every answer where somebody in your category gets named, what fraction is you? Think of it as a competitive scoreboard built from real AI answers, not from ad auctions. Two brands can both have a decent visibility rate and still sit far apart on share of voice, because one keeps showing up next to three rivals and the other keeps showing up next to none. A vanity version of this metric says "we appear in AI answers." The concrete deliverable is different: your share of every AI answer, benchmarked against each named competitor, tracked over time. That is what you can take into a planning meeting. ## Who counts as a competitor You do not have to hand-build the competitor set. Gensiv auto-suggests competitors from your domain, so the benchmark starts from the brands AI is genuinely placing beside you rather than the ones you assume are your rivals. You can then keep, drop, or add names. That distinction matters. The competitors marketing teams worry about in the boardroom are often not the ones AI actually surfaces for a buyer's prompt. Share of voice measured against the real answer set is decision-grade. A list you guessed at is not. ## Tracking it over time, not once A single manual spot-check is close to useless here. Ask the same question twice and AI models often phrase the answer differently, name a different mix, or reorder the list. Signal gets lost in that variance. Gensiv runs scheduled measurement (daily on paid plans, every three days on Free) and reports a stable share of voice across that answer variance, so a move on the chart is a real move and not noise. You watch the trendline, not a lucky screenshot. | Metric | Vanity read | Decision-grade read | |---|---|---| | Visibility | "We showed up once" | Visibility rate over time | | Position | "We were mentioned" | Rank and sentiment per engine | | Competition | "We beat them, probably" | Share of voice vs named competitors, tracked | ## Why neutral measurement is the whole game Here is the trap. If you check your own brand while logged in to your own AI accounts, personalization and account memory flatter you. The engine already knows you. Your buyer's fresh, anonymous session does not. Gensiv measures logged-out, in stateless sessions with no personalization, across six engines (ChatGPT, Perplexity, Gemini, Google AI Overviews, Claude, and Copilot) and 190+ markets. That is why the share of voice number is decision-grade rather than a flattering approximation. We hold ourselves to the same standard and publish our own dogfood numbers. ## The takeaway Share of voice benchmarked from actual AI answers turns a fuzzy worry ("are we losing to competitors in AI?") into a tracked number you can move. Start with the real competitor set, measure it neutrally, and watch the trendline instead of a screenshot. See where you stand today. Gensiv's Free plan needs no card and shows you whether AI recommends your brand: sign up at gensiv.com/signup, or book a demo on the site. Share of Voice benchmarking against named competitors is included on paid plans. --- # How to Get Cited by ChatGPT and Perplexity: The Citations and Missing-Links Playbook > How to get cited by ChatGPT and Perplexity: map the sources AI pulls, find where competitors are cited and you are not, build a ranked target list. Canonical URL: https://gensiv.com/blog/get-cited-by-chatgpt-perplexity Product: Gensiv — Become the brand AI recommends --- Published: 2026-06-24T00:00:00.000Z Author: Gensiv Team Tags: gensiv, geo, aeo, citations, chatgpt, perplexity --- # How to Get Cited by ChatGPT and Perplexity: The Citations and Missing-Links Playbook Ask your category's top question in ChatGPT or Perplexity right now. Read the answer. Then look at the sources it pulled from. If your competitors are in that list and you are not, you already know the problem. The machine that buyers now ask first is quoting a set of pages, and yours is not one of them. To get cited by ChatGPT and Perplexity, you have to work backwards from the answer: map every source the engine actually pulled, find the pages where competitors are cited and you are not, and turn that gap into a ranked list of pages to earn or improve. This post walks that playbook end to end. ## Why "get cited by ChatGPT" is now the whole game Buyers ask ChatGPT, Perplexity, Gemini, Google AI Overviews, Claude, and Copilot before they open ten blue links. The answer is the new shelf, and the citation is the shelf placement. If the engine does not cite you, you are not in the consideration set, no matter how good your SEO used to be. Here is the uncomfortable part. Classic analytics stops at clicks. It cannot tell you why the engine reached for a competitor's comparison page and skipped yours. You need to see the sources behind the answer, not just the traffic after it. ## Step 1: Map every source behind every answer The answer is not magic. Each AI response is assembled from a set of retrieved pages, and those pages are the levers. Gensiv's Citations and Missing Links feature (Starter and up) maps every source behind every AI answer for your tracked prompts, so you can stop guessing which pages the engine trusts. Do this per prompt, not once for the whole site. The sources ChatGPT pulls for "best X for Y" are different from the ones it pulls for "X alternatives." Citation is prompt-specific, so your target list has to be too. ## Step 2: Find where competitors are cited and you are not This is the heart of the playbook. Once you can see the source set, the gap becomes obvious: the pages that show up for a competitor and never for you. Gensiv surfaces exactly those pages and produces a ranked, prompt-prioritized target list. Vanity claim: "improve your content." Concrete deliverable: a list that says which specific URL is cited for which specific prompt on which specific engine, sorted by how much it would move your visibility. A missing-link audit usually sorts into three buckets: - **Pages you can earn:** third-party roundups, comparison articles, and directories citing competitors that would take your submission or pitch. - **Pages you can beat:** thin or dated pages the engine cites only because nothing better exists; you can publish the better version. - **Pages you already own but under-serve:** your own URLs the engine ignores because they do not directly answer the prompt. ## Step 3: Do not forget Reddit Answer engines quote Reddit constantly. Gensiv's AI Opportunities feature is free on every plan and shows the exact Reddit threads AI engines already cite for your tracked prompts, with engine attribution. That is a citation source hiding in plain sight. On paid plans, Outreach and AI Replies actively discovers new relevant threads, scores relevance out of 100, and drafts editable replies. The rule is value first. Reddit is value-first, always disclosed, and never automated. Gensiv drafts replies for a human to review and post. Gensiv never auto-posts. A helpful, honest, disclosed comment earns citations. Spam gets you removed and burns the brand. ## Step 4: Build the ranked target list and track it A gap you cannot prioritize is just a longer to-do list. The output of this playbook is a ranked target list: which page, for which prompt, on which engine, in priority order. Then measure whether the work moved anything. Gensiv tracks visibility rate, rank, and sentiment over time, with a stable visibility rate across the answer variance you get from re-running the same prompt. That stability matters: manual spot-checks give you a different answer every run, so the signal drowns in noise. Gensiv measures neutrally and logged-out, in fresh anonymous sessions with no account memory or personalization, so the number is decision-grade rather than a rough approximation. That is the same discipline we apply to our own brand. | Step | Question it answers | Gensiv feature | |------|--------------------|----------------| | Map sources | What does the engine actually cite? | Citations and Missing Links (Starter+) | | Find the gap | Where is a competitor cited and I am not? | Citations and Missing Links (Starter+) | | Reddit | Which threads do engines already quote? | AI Opportunities (Free) | | Track | Did the work move visibility? | AI Visibility Analytics | ## The takeaway Getting cited is not a mystery. It is a source map, a competitor gap, and a ranked list you actually work through. Do that for every prompt, on every engine your buyers use, and re-measure. You can start free. Gensiv's Free plan is $0 with no card, and it tracks one brand across ChatGPT so you can see whether AI recommends your brand today. AI Opportunities is free on every plan, so the Reddit source map costs nothing to look at. When you want the full source map and the ranked missing-links list across all six engines, Starter and Growth open it up. See if AI recommends your brand. Sign up free at gensiv.com/signup, no card required, or book a demo on the site. --- # AI Brand Visibility: How to Know If ChatGPT Recommends Your Brand > AI brand visibility is a rate, not a screenshot. Track how often ChatGPT and other engines name your brand, at what rank, and how favorably. Canonical URL: https://gensiv.com/blog/measure-ai-brand-visibility Product: Gensiv — Become the brand AI recommends --- Published: 2026-06-19T00:00:00.000Z Author: Gensiv Team Tags: gensiv, geo, aeo, ai-brand-visibility, visibility-rate, share-of-voice --- # AI Brand Visibility: How to Know If ChatGPT Recommends Your Brand Ask your category's top question in ChatGPT right now. Are you named? Most marketing teams have never checked, and the ones who do usually check wrong. AI brand visibility is the measure of how often, and how favorably, AI assistants name your brand when a buyer asks about your category. It is the new shelf, and until recently nobody could see it. **Direct answer:** To know if ChatGPT recommends your brand, run your real buyer prompts through the assistant repeatedly, from a neutral logged-out session, and track three things over time: your visibility rate (how often you are named), your rank (where you land in the answer), and sentiment (how you are described). One manual check is noise. A tracked rate is signal. ## Why one-off AI brand visibility checks lie Here is the trap. You open ChatGPT, type "best [your category] tool," read the answer, and either celebrate or panic. Then you close the tab. The problem is that generative engines are probabilistic. Ask the same question three times and you can get three different lists. Your logged-in account also carries memory and personalization, so the assistant is quietly tuning its answer to you, the person who has visited your own site a hundred times. That is not what your buyer sees. So a single manual check tells you almost nothing: - **Variance:** one run names you, the next does not. Which is true? Both, sometimes. - **Personalization:** your account history skews the result toward brands you already engage with. - **No baseline:** without a trend, you cannot tell a real gain from random luck. - **One engine:** ChatGPT is not Perplexity is not Gemini. Coverage differs by model and by market. This is why "I checked and we showed up" is a vanity claim, not a measurement. The concrete deliverable is a visibility rate that holds steady across dozens of runs. ## The three numbers that actually define AI brand visibility Vanity: "ChatGPT mentioned us once." Decision-grade: a stable rate, a rank, and a sentiment read you can trend week over week. | Metric | What it answers | Why it matters | |---|---|---| | Visibility rate | How often are we named across many runs? | Cuts through answer variance into one number | | Rank | When named, where do we land? | Buyers rarely read past the first few names | | Sentiment | How are we described? | Being named negatively is not a win | Visibility rate is the anchor. Because a single answer is unreliable, you need the engine queried many times so the noise averages out into a rate you can actually defend in a planning meeting. Rank and sentiment then tell you whether that visibility is worth having. ## How to get a stable read across answer variance You cannot fix variance by checking harder. You fix it by measuring systematically. Four rules: 1. **Use your real buyer prompts,** the questions people actually ask, not just your brand name. 2. **Query logged-out and stateless,** from fresh anonymous sessions with no account memory, so you see the neutral answer your buyer sees. 3. **Run it repeatedly and on a schedule,** so the rate stabilizes and you catch movement over time. 4. **Cover the engines and markets that matter,** because ChatGPT, Perplexity, Gemini, Google AI Overviews, Claude, and Copilot do not agree, and answers shift by country. This is exactly how Gensiv is built. It measures AI brand visibility neutrally, logged-out, across 6 engines and 190+ markets, on a schedule (daily on paid plans, every 3 days on Free), and reports a stable visibility rate, rank, sentiment, and trendlines. On paid plans, Share of Voice benchmarks that rate against each competitor you track. That is the difference between a rough approximation and a decision-grade read. ## Dogfooding the number We practice this on ourselves. Gensiv tracks Gensiv on its own Free plan, logged-out, and publishes the real numbers as we build in public. No cherry-picked screenshot, just the tracked rate. ## Takeaway AI brand visibility is not a screenshot, it is a rate. If you are measuring it by opening ChatGPT once and reading the answer, you are measuring noise while personalization flatters you. Track visibility rate, rank, and sentiment, from neutral logged-out sessions, on a schedule, across the engines and markets your buyers use. That is the only read you can build a strategy on. Want to see if AI recommends your brand? Start on the Gensiv Free plan at gensiv.com/signup. No card, 1 brand, 5 prompts, tracked on ChatGPT. See the number for yourself, then decide. --- # What Is Generative Engine Optimization (GEO)? A 2026 Guide for Marketing Teams > Generative engine optimization (GEO) is how you measure and improve the way AI assistants recommend your brand. A 2026 guide for marketing teams. Canonical URL: https://gensiv.com/blog/what-is-generative-engine-optimization Product: Gensiv — Become the brand AI recommends --- Published: 2026-06-16T00:00:00.000Z Author: Gensiv Team Tags: gensiv, geo, aeo, ai-search, marketing --- # What Is Generative Engine Optimization (GEO)? A 2026 Guide for Marketing Teams Ask your category's top question in ChatGPT right now. Are you named? For a growing share of buyers, that answer is the entire shortlist, and most marketing teams have never seen it. That is the gap generative engine optimization exists to close. ## Generative engine optimization, defined Generative engine optimization (GEO), sometimes called answer engine optimization (AEO), is the practice of measuring and improving how AI assistants represent your brand when buyers ask them questions. It is the successor discipline to SEO for a world where the answer, not the page of links, is the destination. SEO measures rank on a page of links. GEO measures whether the machine that replaced that page recommends you. Same buyer, same intent, completely different surface. The engines doing the answering in 2026 are ChatGPT, Perplexity, Gemini, Google AI Overviews, Claude, and Copilot. ## Why the AI answer is the new first touchpoint Buyers used to start with a search, scan ten blue links, and click. Now many of them ask an assistant and read one synthesized answer that already names a few vendors, describes them, and often ranks them. The answer is the new shelf, and nobody can see it. That shift breaks the analytics teams have relied on for two decades: - Your dashboards stop at clicks. They cannot show an answer that never produced a click. - Competitors appear inside AI answers with no obvious source, and no report tells you why. - A manual spot-check returns a different phrasing every run, so any signal drowns in noise. The uncomfortable part: your buyers have already seen your AI visibility. You have not. ## What changes for marketing teams GEO does not replace your content or PR work. It gives that work a scoreboard that matches where buyers actually are. Three things move to the center. First, measurement becomes about representation, not traffic. The unit is whether an assistant names you, where you rank in its answer, and whether it describes you positively. Second, citations become the lever. AI answers are stitched from sources. When you can see which pages competitors are cited from and you are not, you get a concrete target list instead of a vague content calendar. Third, accuracy stops being optional. If your measurement runs from a logged-in account with memory and personalization, the number reflects that account, not the market. Neutral, logged-out measurement across fresh anonymous sessions is what makes a GEO number decision-grade rather than a rough guess. ## How to start measuring GEO You do not need a strategy deck to begin. You need a baseline. A practical first week: | Step | What you do | What you learn | |------|-------------|----------------| | 1 | List 5 questions buyers ask before choosing your category | Your real prompt set | | 2 | Run them across the engines your buyers use | Whether you are named, and your rank | | 3 | Note who else appears and how you are described | Competitors and sentiment | | 4 | Trace the sources behind each answer | Where you are cited, and where you are missing | Gensiv turns that manual exercise into a standing metric. The Free plan tracks 1 brand and 5 prompts on ChatGPT, refreshed every 3 days, no card required. It reports a stable visibility rate held steady across answer variance, plus rank and sentiment over time. Paid plans add more engines (up to all six), Share of Voice against named competitors, citations and missing links, and 190+ markets. We practice this on ourselves. Gensiv tracks Gensiv on the Free plan, logged-out, and publishes the real numbers as we build. ## The takeaway Generative engine optimization is not a rebrand of SEO. It is a new scoreboard for a first touchpoint that already exists whether you measure it or not. The teams that win the next two years are the ones who can answer, with a real number, "how often does AI recommend us, and why." See if AI recommends your brand. Start free at gensiv.com/signup, no card, or book a demo on the site. Become the brand AI recommends. --- # Hello, Gensiv Blog > Why we're launching a blog, and what to expect from it, practical notes on AI brand visibility and generative engine optimization. Canonical URL: https://gensiv.com/blog/hello-world Product: Gensiv — Become the brand AI recommends --- Published: 2026-06-12T00:00:00.000Z Author: Gensiv Team Tags: announcements, geo --- Welcome to the Gensiv blog. This is where we'll publish practical notes on **AI brand visibility** and generative engine optimization (GEO), how brands show up (or don't) when buyers ask ChatGPT, Perplexity, Gemini, and other AI assistants for recommendations. ## What to expect A few kinds of posts you'll see here: - Field notes from tracking thousands of buyer-intent prompts across AI engines - Practical GEO playbooks your team can act on this quarter - Product updates as we ship new ways to measure and improve visibility ## A quick example Here's a minimal snippet showing how we fetch a prompt result: ```ts const result = await gensiv.prompts.run({ prompt: "best CRM for startups", engine: "chatgpt", }); ``` ## Why this matters | Signal | What it tells you | | --- | --- | | Visibility | Are you mentioned at all? | | Rank | Where do you land among competitors? | | Sentiment | Is the mention favorable? | | Sources | What content is the AI citing? | Read more on our [pricing page](/pricing), or [book a demo](/contact) if you'd like a walkthrough.