LLM Visibility Checklist

Work through what gives a language model a coherent idea of who you are — then take the four prompts at the bottom and go and find out what it actually thinks.

Exactly as you want it written. If you cannot answer that in one spelling, that is the first finding.
Entity clarity Everything here is on your own property, which means all of it is fixable this month.
Third-party presence None of this is on your site, which is exactly why it carries the most weight. A model that has only ever read your own copy knows what you claim, not what you are.
Consistency of the facts Contradictions do not average out. They make every version of the fact less certain.
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Weighted score
Now go and measure it

          

This score is a reasoned model of how a language model ends up with a stable idea of a brand — from repeated, consistent, corroborated mentions across sources. It is not a measurement of what any model currently knows about you, and no tool that has not asked the model can tell you that. The prompts above are the measurement; this list is the hypothesis.

Nothing you type here is uploaded, stored or sent anywhere. It all runs in your browser.

A model does not look you up. It has already read about you, or it has not

When an assistant answers "what is Acme Analytics", two quite different things may be happening. It may be recalling what it absorbed during training, in which case what matters is how often and how consistently you were described across the web that was read. Or it may be fetching pages right now, in which case what matters is what ranks today and whether the crawler can reach it. Most products do both. The practical consequence is the same either way: what other people say about you carries more than what you say about yourself, and consistency across sources carries more than any single source.

Why entity clarity is worth the boring work

Everything in the first group exists to make it obvious that the scattered mentions of you on the web are about one thing. A model working out who "Acme" is has to reconcile a LinkedIn page, six directory listings, two old press releases and a Reddit thread. sameAs, a stable name and an About page that says plainly what you are do not make you popular. They make you resolvable, and an entity that cannot be resolved cannot be recommended.

Why the third-party group is weighted highest

Because it is the only group a model cannot get from you. Your own site tells it what you claim. A listicle, a review platform and a comparison page written by someone else tell it what category you are in, who you compete with and whether anyone rates you — and those are precisely the questions an assistant is being asked when it recommends somebody. This is also the group you cannot buy your way out of quickly, which is why most "AI visibility" advice focuses on the other two.

Go and ask, and write down what you get

The four prompts this tool generates are a crude measurement, and a crude measurement beats a confident guess. Run them in a fresh chat with memory and personalisation off, in each assistant your buyers use, and keep the answers in a document with the date on it. What you are looking for is not a ranking but the specific wrong thing: the competitor you get confused with, the product you stopped selling in 2023, the "I do not have information about" that tells you nothing outside your own domain has ever described you. Each of those is a content brief.

Not this list, but the page in front of you?

This one is about the brand. For a single page, the AI Search Readiness Checker audits whether the page can be quoted; the Citation Readiness Checker goes sentence by sentence through the prose; and the GEO Content Checklist is what to keep open while you write the next one.

Questions people ask

Can any tool tell me what ChatGPT thinks of my brand?

Only by asking it and reading the answer, which is what the prompts here are for. Anything presenting a brand-visibility number without querying a model is estimating from inputs, exactly as this page does — the difference is whether it says so.

Do I need a Wikipedia page?

No, and you probably cannot have one: Wikipedia requires notability established by independent coverage, and writing about yourself there tends to end in deletion and a bad mark against the name. Wikidata is a different matter — it is open to any entity that can be sourced, it is structured, and it is widely ingested.

Does schema markup make a model understand my brand?

It helps the machines that build entity graphs resolve you to one thing, and those graphs feed a lot downstream. On its own it moves very little. Consider it hygiene: cheap, harmless, and no substitute for anyone else mentioning you.

How often should I redo this?

Quarterly is plenty for the checklist. Run the prompts more often if you are actively working on it — they are the only part that reflects reality rather than intent, and the answers drift as models are updated.

Is my brand name stored or sent anywhere?

No. Everything here runs in your browser, nothing is saved between visits, and the prompts are assembled locally from what you typed.

Most of this list is other people talking about you

The entity half you can fix this week. The third-party half is earned, one placement at a time, and that is the work I am hired for.

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