Our approach

The rigor of a study.
The support of a team.

Visibility in AI is measured with method — and built by your side. Two requirements, one team.

Scientific approach

A measure you can rely on

A visibility number only has value if it’s reliable. Our methodology, rigorous and reproducible, draws on academic research — for a fair reading, comparable over time, you can decide on.

  • A reproducible measure, not a snapshot
  • A detailed reading, engine by engine
  • A framework grounded in academic research
Human approach

A team that moves with you

Data isn’t enough: you need to know what to do with it. An expert who knows your brand guides you from the first measure to the first results — and adjusts course with you.

  • A dedicated contact who knows your market
  • Your priorities reviewed together, regularly
  • Content created and published with you
More than a dashboard: a reading. Where you win, where you’re invisible, and what to do.

How it works

From the first measure to results

1

We build your framework

Your key entities, your competitors and the questions your audience asks AI — the basis of any reliable measure.

2

We deliver the reading

Where you win, where you’re invisible, who overtakes you — with priorities ranked by impact.

3

We act, together

Content creation, optimization, publishing — then we measure the impact and adjust.

Let’s talk about your visibility in AI.

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