Research

How AI platforms decide who gets named.

The short version: they name businesses they can read, verify and trust. The longer version is more useful, because each of those three words is a different kind of work and most businesses fail on the second one without realizing it.

What we measured

They disagree with each other more than people expect.

We ran the same buyer-intent prompt through four engines for 64 local businesses. The rates were close. Which businesses they named was not.

Perplexity38%
Gemini36%
Claude27%
ChatGPT36%

Three of the four landed within three points of each other, and Claude trailed. The rates are the least interesting part. Of the 43 businesses named by any engine, only 7 were named by all four and 19 were named by exactly one, so the engines were reading the same market and reaching different answers.

The practical consequence is that checking only ChatGPT, which is what most people do, tells you about one engine and close to nothing about the other three. Full study and method here.

Finding worth knowing

Being named is not downstream of ranking.

The assumption almost everyone makes is that AI tools mostly mirror Google: rank well and you get named. Our data did not support it.

22% of the businesses we measured were named by AI tools while sitting outside Google’s top 20. And 11% ranked in the top 20 without being named by any AI tool at all.

These are separate systems reading overlapping but different signals. Checking your Google position tells you less about your AI visibility than people assume, in both directions.

The three requirements

Readable, verifiable, trusted.

📖

Readable beats clever

These systems quote content that answers a question directly, near the top, in plain words. Clever headlines and long build-ups get skipped because there is nothing extractable in them.

Answer first
🔒

Verifiable beats loud

Consistent name, address, phone, hours and services across your site, your profile and directories. When sources contradict each other, a model resolves the doubt by naming somebody else.

Where most fail
⭐

Trusted means corroborated

Reviews and third-party mentions are read as testimony. A model trusts what it can confirm from more than one source, which is why claims only you make carry little weight.

Slowest, most durable
Honest limits

Nobody outside these companies knows the mechanism.

Worth saying plainly, because this field is full of confident claims. None of the AI providers publish how they select which businesses to name. There is no documented ranking system, no equivalent of Google’s guidelines, and no way to audit a decision.

The systems are also non-deterministic: the same question can return different businesses on different runs. Any single test is a sample, not a verdict, which is why we run several and why we would encourage you to as well.

So what we publish is observed correlation from measured data, not a mechanism. Anyone selling you a guaranteed method for getting into ChatGPT is describing something they cannot see and do not control.

Try it now

Check yourself in five minutes.

Open ChatGPT, Perplexity, Gemini and Google’s AI results. Ask each one who they would recommend for your service in your town, phrased the way a customer would. Ask a couple of times, because answers vary between runs.

Note two things: whether your business is named at all, and whether the description of your services and service area is correct. Being named with the wrong information is its own problem and a more fixable one.

More on the work itself on the AI search page, and the underlying fundamentals in the free guides.

Or have it checked for you.

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