Search / GEO

Every engagement starts with monitoring.

You can’t optimize what you can’t measure. That’s why the first step of every MASAI GEO project is observing how generative engines see the brand: whether it appears in answers, how it is described, and next to whom. Only then do we build the plan. Five elements we keep under watch.

1. 01

   Prompt coverage

   A broad set of real questions — category, comparison, purchase intent — tested systematically across ChatGPT, Gemini, Perplexity, Claude and Copilot, because each platform draws on different sources and answers differently.

2. 02

   Citation frequency

   How many of those questions the brand enters the answer for, and with what weight against competitors: share of voice applied to generative environments, where no first-party dashboard exists.

3. 03

   Accuracy of representation

   When the brand is cited, we verify that the products, prices and positioning described by the AI match reality — not outdated information or unreliable third-party sources.

4. 04

   Competitive positioning

   Which comparisons you appear in, next to whom, in what order, with what tone. Knowing which competitors occupy the answer space matters as much as knowing whether you are there.

5. 05

   Source traceability

   Where the model gets its information when it talks about you: often not the official site, but a review, an article, a third-party listing. Knowing those sources is the first step to correcting or reinforcing them.

A generative answer is not deterministic: it changes over time, across users, across sessions. Monitoring therefore produces a statistical trend, not a snapshot — and it only makes sense as a continuous practice.