Concepts

Metrics

Markdown

How visibility, share of voice, average position and sentiment are calculated.

Gensiv asks each active prompt on each engine your brand is tracked on, on a regular schedule. Every answer is one response. Metrics are calculated from the responses collected in the date range you request, the same way the Gensiv dashboard calculates them.

The building blocks

TermMeaning
PromptA question your buyers ask AI engines, such as "What is the best CRM for a small agency?"
EngineAn AI product Gensiv collects answers from, such as ChatGPT or Perplexity.
ResponseOne answer from one engine to one prompt at one point in time.
MentionA response that names your brand or a tracked competitor. A response counts as one mention per company, however many times it repeats the name.
EntityYour brand or one of its tracked competitors. Metrics endpoints return one row per entity.
Topic and tagGroups of prompts. Metrics can be filtered to a group or returned per group. See Tags and topics.

Visibility

The share of responses that mention the entity.

visibility = responses that mention the entity / all responses × 100

A visibility of 42.5 means the entity was named in 42.5% of the answers in the range.

Share of voice

The entity's share of all mentions of your brand and your tracked competitors.

share of voice = mentions of the entity / mentions of your brand and all tracked competitors × 100

Share of voice only counts the competitors you track, so adding or archiving a competitor changes everyone's share of voice. The values for your brand and its competitors add up to 100, unless no one was mentioned.

Average position

When an answer recommends several options, Gensiv records the position of each company in the list, where 1 is the first option named. Average position is the mean of those positions across the responses where the entity was ranked.

Lower is better. It is null when the entity was never ranked in the range.

Sentiment

Each mention is classified as positive, neutral or negative. Gensiv scores positive as 100, neutral as 50 and negative as 0, and reports the average.

sentiment = average of (positive = 100, neutral = 50, negative = 0)

A score above 50 means answers describe the entity more positively than negatively. It is null when there are no classified mentions in the range.

Summary and daily metrics

  • GET /brands/{brandId}/metrics returns one row per entity for the whole range. Use it for scorecards and comparisons.
  • GET /brands/{brandId}/metrics/daily returns one row per day, engine and entity, with the raw responses and mentions counts. Use it for trend charts and BI tools. Add breakdown=none to combine all engines into one row per day and entity.
  • GET /brands/{brandId}/metrics/prompts returns one row per prompt, lowest visibility first, with the competitors named most often in its answers. Use it to find the prompts where competitors win.

Percentages from the daily endpoint cannot be averaged to get a range total, because days have different numbers of responses. Sum mentions and responses first, then divide.

Rounding

Visibility, share of voice and average position are rounded to one decimal place. Sentiment is rounded to a whole number.

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