AI search visibility is the share of AI answers, to the questions your buyers ask, that name your brand. It is measured over answers, not pages, and it comes with four other figures that say how you were named. Here is each one, defined the way we count it.
The phrase gets used loosely. Some tools mean "the brand appears somewhere in ChatGPT", others mean "a page of yours is cited", and a few mean a score they have invented. The definitions below are the ones this product prints beside every number, and they are the same ones the other serious tools in the category use — so a figure from here can be compared with a figure from elsewhere.
Visibility
The share of chats that name the brand at least once. A chat naming it three times still counts once; this measures reach, not repetition. A "chat" is one question, asked of one engine, on one day, in one country — so visibility is always stated over a set of chats, and the set is named.
Share of voice
Your share of every brand mention in those chats. Visibility asks how often you appear; share of voice asks how much of the conversation is yours once everyone is counted. A brand can be visible in most chats and still hold a small share of voice, because the answer names six rivals beside it.
Position
Where you are named among the brands in a chat, averaged over the chats that name you. First is #1. Being named late in a list is weaker than being named first, and position is the only figure that says so.
Sentiment
How favourably a chat speaks about the brand, on a scale from 0 to 100: 0 hostile, 50 a neutral mention, 100 a strong endorsement. Averaged over the chats that named it. A chat that could not be scored is shown as a dash, never as 50.
Named, cited, retrieved, used
These are four different things, and a definition of visibility that blurs them is not one. A brand is named when the answer says its name. A page is cited when the answer links to it. A source is retrieved when the engine opened it while answering, whether or not it went on to quote it, and usedwhen the chat cited it at least once. Retrieved is broader than used: a model can read a page and quote nothing from it, and that gap — pages the engines read and did not cite — is where most of the work on your own site lives.
What every figure is measured over
Sample size is the number of chats behind a figure: prompts times engines times sampling days in the window. Below twenty, a percentage moves too much on a single answer to be reported as a reading, and it is greyed out. Every metric ships with a 95% Wilson interval over its sample, so a reading from thirty answers cannot be mistaken for one from three hundred.
Where the answers come from
From the interface a reader uses, not the model's API. The two share a model name and little else: the API runs no retrieval, applies no system prompt, and does not know where the reader is. Asked the same twelve questions both ways, the two paths named brands at similar rates and cited almost nothing in common — 26 of the 35 sources shown to a reader never appeared in the API's answer. Visibility measured over API answers is visibility in a product nobody uses.
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