Use case

AI answers differently in Berlin than in Boston.

Before you fund an expansion, find out whether AI assistants in that market have heard of you, and who they recommend instead.

The situation

Where this starts

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 it works

How to do it in Gensiv

  1. 01

    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. 02

    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. 03

    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. 04

    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

See how AI represents your brand today

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