Measurement
Your AI Visibility Score, with the honest margin.
One number for how often AI engines name your brand when your buyers ask — measured from real answers across five engines, and never reported without its confidence band.
ChatGPT
Perplexity
Gemini
Claude
AI OverviewsHow it works
Three steps to the real answer.
01
We ask the real questions
We generate the buyer questions your market actually asks — discovery, comparison and validation — and put them to each engine as a real query.
02
We measure every answer
Each answer is parsed for whether you're named, where you sit in the list, who beat you, and how the engine talks about you.
03
We report the range, not a guess
Questions are re-asked multiple times per engine and the result is a score with a 90% confidence interval, so you know what's signal and what's noise.
What you get
Everything in AI Visibility Score.
One score, five engines
A single visibility number rolled up across ChatGPT, Perplexity, Gemini, Claude and Google AI Overviews — plus the per-engine split, so you know exactly where you're invisible.
90% confidence band on everything
Bootstrap confidence intervals on the score and every sub-metric. If a week-over-week move sits inside the band, we tell you it isn't a real change.
Coverage and share of voice
What share of tracked questions name you at all, and what share of all brand mentions in your category belong to you rather than a rival.
Average position
Being named fourth in a list of five is not the same as being named first. We track where you land in each answer, not just whether you appear.
Sentiment
How each engine talks about you — positive, neutral or negative — per engine and per question, because being mentioned badly is its own problem.
Trend over time
With monitoring on, the score becomes a trendline with every snapshot diffed, so you can prove that the work you shipped actually moved it.
Why it matters
There is no page two in an AI answer.
Rankings don't describe answers
There is no page two in an AI answer. An engine names three to five brands and stops — you are either in that set or you are absent.
A single number hides the variance
Because engines sample their output, one run tells you very little. The band is what makes the number usable for a decision.
None of it reaches your analytics
A buyer who asks an engine and never clicks through leaves no trace in GA. Measurement has to happen at the answer, not at your site.
FAQ
Questions, answered.
Anything else? Write to us and a human replies.
What exactly is an AI visibility score?
It's the share of your tracked buyer questions where an AI engine names your brand, weighted by where you appear in the answer and rolled up across every engine we audit. It answers one question: when your buyers ask AI what to use, how often do you come up?
Why is my score shown as a range?
AI answers vary run to run by design — ask the same question twice and you can get different brands. So every score ships with a 90% confidence band, and the deep report re-asks each question multiple times per engine. Anyone selling you a single number is guessing.
How is it different from a keyword ranking?
A ranking tells you the position of a page in a list of links. A visibility score tells you whether your brand is named inside a generated answer — where there is no second page and typically only three to five brands get mentioned at all.
Which engines do you audit?
ChatGPT, Perplexity, Google Gemini, Claude and Google AI Overviews. The engine list shown on the homepage comes from what the deployment actually queries, so we never claim an engine that isn't really running.
How often is the score refreshed?
The free teardown and the one-time report are point-in-time scans. On a monitoring plan it re-runs weekly as a deep multi-run report, with an optional daily pulse on the engines you pick.
What counts as a good score?
It's relative to your category — a crowded market with strong incumbents scores differently from a niche one. That's why every scan feeds the public AI Visibility Index, so you can compare against your actual category rather than an abstract benchmark.
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