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AI visibility tracking

AI visibility tracking that shows how to get recommended

Your buyers ask ChatGPT, Perplexity and Google which brand to choose. We run the same prompts on all six engines on a fixed schedule and record who each one recommends, so you can see where a competitor is named instead of you, what to change, and whether it worked.

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Four outcomes

What an AI visibility tracker records: four outcomes

Every prompt lands in one of these on every check, and the latest answers to one prompt, beside this, land in all four. Each state calls for a different action, which is why averaging them into a single score destroys the signal that tells you what to do next. Every other feature of the AI mention tracking platform reads the same answers.

Named.
Your brand is in the answer text. We record where in the answer, because first and last are not the same.
Cited, not named.
Your page is in the sources but a competitor is in the sentence. You have retrieval without framing.
Not named.
The assistant answered and named other brands, or none. The gap, stated plainly.
No answer.
Nothing was returned for that prompt that day. It leaves the denominator instead of counting against you.

A rate, with its sample

Track AI visibility as a rate, because one check is a coin flip

Assistants generate answers rather than retrieving them, so the same prompt can name you at nine in the morning and skip you at noon. Any tool that checks once and shows a green tick is reporting a coin flip. We check continuously, report the rate, and print the number of checks beside it: the same rule we apply on Google AI Overviews and everywhere else. In the history beside this, ChatGPT leaves the brand out one day and names it the next, asked the same thing. When a rate moves by more than its sample can explain, AI brand monitoring emails you.

On a fixed schedule.
Each prompt in your set, on each engine, from the market you chose. The set comes from prompt tracking.
Fractions below five.
Under five checks you see 2 of 4, never 50%. One run is an anecdote, not a rate.
Absence is not a loss.
A day with no answer leaves the denominator rather than counting against you.

Six engines, never merged

LLM visibility tracking per engine, never averaged

We have watched ChatGPT and Perplexity name different brands for the same prompt on the same day. Blending them into a single “AI visibility score” averages away the disagreement, which is the part you can act on: if five engines name you and one does not, that one engine is the work. The example beside this runs from 29% on Google AI Overview to 71% on Perplexity; an average would report the middle and hide both. Each engine is collected differently, and we say how.

Per-engine rates.
Six numbers, side by side, never averaged into one headline figure.
Collection stated.
Every platform page says how that engine is reached and what that limits.
Answers kept.
The full text behind every rate, so you can read the sentence that moved it.

After the rate

What kind of gap it is, and what to do about it

A rate tells you there is a gap. Three other measurements tell you what kind of gap it is, and so what to do about it: win back share from a named rival, correct how you are described, or get onto the pages the engines already read.

Share of voice.
Whether that rate is rising or falling against the competitors named beside you changes what it means. That is AI share of voice.
Sentiment.
So does how you are described in the answers where you do appear.
Citations.
And whether your pages are being cited in the ones where you are not, which is AI citation tracking.

Example dataThree screens, shown with an example brand.

Common questions about AI visibility tracking

What people ask before they trust a visibility number. If yours is not here, ask us.

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What is AI visibility tracking?
Repeatedly asking the prompts your buyers type, on each assistant, and recording whether your brand is named in the answer and who is named instead. It is the starting point for getting recommended by AI: you cannot change an answer you have not read. The output is a rate, such as named in 14 of the last 30 ChatGPT checks, rather than a rank, because an AI answer is prose, not a numbered list. There is no position 3 to hold.
Why is it a rate and not a score?
Because assistants generate each answer rather than retrieving it, two checks minutes apart can differ. A single check is a coin flip. Reporting a rate across repeated checks is the only honest way to describe behaviour that is genuinely variable, and it is why we always print the number of checks next to the number.
What happens when there are only a few checks?
Below five checks we show the fraction, 2 of 4, and not a percentage. Rendering one check out of two as 50% implies a precision that is not there. You will see real percentages once there is enough data to support one, and not before.
Do all six engines get tracked on every plan?
Yes. ChatGPT, Google AI Overviews, Google AI Mode, Perplexity, Claude and Gemini, on every plan including the cheapest. No engine is held back for a higher tier. Plans differ only in how many prompts you track.
How is this different from an AI rank tracker?
A rank tracker asks where you sit in an ordered list of ten blue links. An assistant returns one answer that either contains your name or does not, and the reasons it does are about how your category is described across the web rather than how one page is optimised. The measurement, the unit and the fix are all different.
Can I see why a number moved?
Yes. Every rate is backed by the individual answers that produced it, stored in full with their citations, so you can read the actual sentence and the pages the engine read before writing it. Those pages are usually where the next action is: the sources that name your competitors and not you.

Related reading

The rest of what we measure

Six more, all on every plan.

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See which engines recommend someone else

Add your brand and your prompts. Within minutes you see the first answers, who they name, and the pages behind them.

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On every plan

  • Every answer stored in full, with its citations.
  • Every rate shown with the number of checks behind it.
  • Cited-but-not-named reported as its own state.