What Is AI Visibility? How Brands Get Named in ChatGPT, Gemini and Perplexity

AI visibility is whether an AI assistant names your business when someone asks it for a recommendation in your category. Not whether you rank. Not whether you have a website. Whether ChatGPT, Gemini or Perplexity puts your name in the answer a buyer reads before they decide who to contact.

It is a new measurement because it describes a new behaviour. A buyer who used to search "best accountant in Leeds" and scan ten links now asks an assistant the same question and receives three names. There is no results page to fight over. There is one answer, and you are either in it or you are not.

The two halves: mentions and citations

AI visibility is not one number. It is two, and they fail independently.

• A mention is your brand named in the answer text. This is the commercial signal. It is what puts you on the buyer's shortlist.

• A citation is your website used as a source for the answer, usually shown as a link or footnote. This proves the model reads you and trusts you enough to borrow from you.

Most businesses assume these arrive together. They do not. Semrush's study of 126 million prompts found that 62% of AI citations never produce a brand mention: the model reads a page, extracts the fact it needs, writes the answer and names somebody else. Being cited is being used. Being mentioned is being recommended.

If you track only one of the two, track mentions. A page full of citations and zero mentions is a page that is doing free research for your competitors' customers.

Why this is not the same thing as ranking

Search rankings and AI visibility share inputs and diverge in outcome. Both reward pages that are clear, well structured and referenced elsewhere. But a ranking gives a buyer ten options and lets them choose, while an AI answer usually gives three and implies the choice is already made.

The practical consequence is that the winner-takes-most dynamic is sharper. Position eleven on Google still earns some traffic. Being the fourth-best-known brand in a category that models name three of earns nothing at all. That is why AI visibility deserves its own measurement rather than being treated as a side effect of SEO, and it is the reason a business can rank respectably and still be invisible where the decision is actually made.

The four things that decide whether you get named

1. Whether your own pages state what you are

Models quote sentences. If every page on your site explains benefits, outcomes and feelings but no page contains a plain declarative sentence of the form "X is a Y that does Z for W", there is nothing to lift and nothing to attribute. This is the most common cause of the cited-but-not-mentioned pattern, and it is the cheapest to fix.

2. Whether your brand exists off-site

Engines that lean on familiarity rather than live retrieval will not learn about you from your own website alone. Reviews, directory profiles, third-party roundups, community threads and press mentions are what build the association between your category and your name. This is slower work and it is the part most businesses skip.

3. Whether comparative content about you exists

A large share of commercial prompts are comparison prompts: which tool, which alternative, which is better for my case. Those answers are assembled from comparison-shaped sources. Comparative content produces roughly 2.4 times more brand mentions than informational content, for the simple reason that it already contains the sentence the model needs.

4. Whether your description is consistent everywhere

If your website, your Google Business Profile, your LinkedIn page and a directory listing each describe you slightly differently, none of the descriptions accumulates weight. Consistency is not a branding nicety here. It is how a model becomes confident enough about what you are to say it out loud.

Where to start

Measure before you change anything. The twenty-minute manual audit gives you a baseline: ten prompts a real customer would ask, run in clean sessions across three engines, with mentions and citations recorded as separate counts. Keep the prompt list, because the value is in the month-over-month comparison, not the first result.

Then read the pattern rather than the score. Cited but not mentioned is an on-site writing problem. Absent entirely is an off-site presence problem. Mentioned but described wrongly is a stale-copy problem, and it is usually your own pricing page or product copy causing it.

If your business also depends on customers nearby, the same question has a local version, because assistants now answer "who should I use near me" as readily as they answer product questions. The local visibility audit covers that side.

Getting it measured continuously

Doing the audit by hand once is worth it, because reading real answers teaches you how models talk about your category. Doing it by hand every month rarely survives contact with a working week.

Markty AI includes an AI and Local Visibility feature that scans ChatGPT, Gemini and Perplexity four times a month, scores whether your brand appears in answers for your category, benchmarks that score against competitors and recommends the content most likely to close the gap. It sits alongside the AI employees that then produce and publish that content, which is the part that actually moves the number.

Visibility is no longer one channel. It is whether a customer can find you, and be told about you, in every place they now look: search results, maps, reviews and answers. AI visibility is the newest of those places and the least contested. That will not stay true for long.