LLM Visibility: What It Is and How to Measure It

The definition

LLM visibility is how often, and how favourably, large language models such as ChatGPT mention your brand when people ask about what you sell. It is the AI-era counterpart of search ranking, but it is measured in mentions rather than positions.

Two different things to measure

1. Readiness: can AI crawlers reach and understand your site? This is technical and fully checkable.
2. Mentions: does the assistant actually name you? This varies by question, by day and by model, so it needs repeated sampling.

Readiness does not equal mentions, but poor readiness makes mentions unlikely.

A simple manual method

1. Write 10 to 20 questions a customer might ask, such as "best [product] under [price]".
2. Ask each one in ChatGPT, Perplexity and Gemini.
3. Record whether you are named, who else is, and which sources are cited.
4. Repeat monthly and compare.

Answers can differ run to run, so look for trends instead of single results.

What to do with what you learn

• If a competitor is named often, read the pages being cited and see what they explain that you do not.
• If nobody useful is cited, that is an opening for a clear guide of your own.
• Use the free AI visibility checker to fix readiness gaps first.

FAQ

Is LLM visibility the same as SEO?

No. SEO measures positions in search results, while LLM visibility looks at whether AI answers mention you.

How often should I measure?

Monthly is enough to see a trend without chasing noise.