Our methodology

For every audit we ask a series of buyer questions ("who is the best X in Y?", "who would you recommend for…?") to ChatGPT, Gemini and Perplexity, in your language and market. Nothing is estimated: every analyzed answer comes from a real query, run at the moment of your audit.

We add a recognition probe ("what do you know about this business?") to distinguish two very different situations: an AI that doesn't know you, and an AI that knows you but doesn't recommend you. This question never counts toward the score.

Your presence: whether your brand is cited, and at which position in the recommendation list.

Your competitors: which businesses get recommended instead of you, how often, at which position and by which assistants — that's your share of voice.

The tone: sentences where your brand appears are classified positive, neutral or negative. This analysis relies on the answer's vocabulary: it is indicative, and labeled as such.

The sources: Perplexity exposes the web pages it consults to answer. We aggregate them to show you precisely where to get listed. ChatGPT and Gemini don't expose their sources through their API — we don't invent them.

We query the models' official APIs. They approximate — without exactly replicating — the answers of the consumer apps, which may add web search or geolocation.

AI answers vary between conversations. An audit is a reliable snapshot of a trend, not a to-the-decimal truth: that's precisely why weekly monitoring exists — it smooths those variations.

Our questions are typed templates for your sector and market. They represent what real buyers ask, but can't cover every possible phrasing.