Does ChatGPT recommend your business?
There's a good chance a customer asked ChatGPT for a business like yours this week and acted on the answer — without ever seeing your name. Here's how to find out whether you're in that answer, using nothing but a browser and twenty minutes.
How to check, in one paragraph.
Open ChatGPT in a fresh, logged-out session and ask it the way a customer would — "best emergency plumber in Leeds", "who should I call for a blocked drain near me" — then note whether you're named and who's named ahead of you. Repeat with five or six phrasings, then do the same on Gemini and Claude. One answer proves nothing; a pattern across many phrasings and all three models is the real signal.
That's the method in miniature. The rest of this guide turns it into a repeatable audit you can run properly, explains why the answers move around, and covers the only thing that actually changes whether the assistant names you.
The buyer's-seat audit.
Anyone can type their business name into ChatGPT and see a flattering summary — that tells you nothing, because customers don't search for you by name; they search for the job. The buyer's-seat audit forces you to ask the way a stranger who's never heard of you would. It has four steps.
1. Sit in the buyer's seat
Forget your business name entirely. A customer types the problem, not the solution: "my tooth is killing me and my dentist is closed", "cleaner for a end-of-lease in Brunswick", "good family lawyer near me for a custody question". Start every query from the customer's problem and location, never from your brand.
2. Spread the phrasings
The single most common mistake is asking once. Real demand is expressed a dozen ways, and each phrasing can return a different shortlist. For a physio, "best physio near me" and "who should I see for a running injury in Brunswick" and "sports physio that takes weekend appointments" are three different questions to the model. Write down five or six genuine phrasings per service before you start, and ask all of them. This fan-out is the difference between a lucky guess and a real reading.
3. Cross the models and sessions
ChatGPT is not the whole picture. Gemini sits inside Google's ecosystem, Claude draws on its own sources, and buyers use all three. Run your phrasings on each, in fresh, logged-out sessions so your own history doesn't quietly bias the answer toward businesses you've clicked before. If you're logged in, the model may flatter you with your own past behaviour — exactly the blind spot this audit exists to remove.
4. Log the shortlist
For every answer, write down two things: were you named, and who was named instead. A simple grid — phrasings down the side, models across the top — makes the pattern jump out. You'll quickly see whether you're consistently present, occasionally present, or invisible, and one or two competitors will keep reappearing above you. Those are your real benchmark, and step four is what turns a vague worry into an action list.
Why one check is worthless.
If you run the audit twice a week apart, you'll notice the answers aren't identical — and that's the most important thing to understand about AI recommendations. They vary by phrasing (different wording, different shortlist), by session (the same question can resolve differently minutes apart), and over time (models update; the sources they lean on change; competitors do work that moves them). An HVAC company named in "best HVAC in Austin" might vanish from "who fixes air conditioning fast in Austin" — same firm, same city, different words.
This is why a single lucky check breeds false confidence and a single unlucky one breeds needless panic. What you're really trying to measure is a rate: across all your phrasings and all three models, how often are you named? That rate — watched over weeks — is the honest metric. It's the same logic behind a formal AI visibility score: measure the pattern, never the coincidence.
What actually changes whether AI names you.
Here's the part people don't want to hear: there is no prompt trick, no phrase you can add to your website, no schema tag that makes ChatGPT recommend you. The assistant is summarising the web's consensus about whether you're a good choice. Change the consensus and you change the answer. Three things build it:
- Reviews — volume and sentiment. A steady flow of recent, positive, specific reviews is the single strongest signal that you're a safe recommendation. A med spa with two hundred warm reviews will be named over one with nine, almost regardless of anything else.
- Consistent business information. Your name, address, phone, hours and category should match everywhere they appear. Contradictory details make a model less confident naming you, because it can't tell which "you" is real.
- Genuine community mentions. When real people recommend you in Reddit threads, Facebook groups and forums, that's third-party evidence the model trusts. This is why showing up helpfully in those conversations compounds — it improves both the lead you win today and the recommendation you earn tomorrow.
Notice what's not on the list: your website copy. The work is off-site — reputation and evidence — not on-page optimisation. That's a different discipline from classic SEO, and it's why healthy Google rankings don't guarantee you a spot in the AI answer.
Run it by hand — then decide.
Do the buyer's-seat audit yourself this week. It costs nothing, takes twenty minutes, and almost everyone learns something uncomfortable and useful. But the audit is only valuable if you keep running it, and that's where hands break down: thirty phrasings across three models, every week, for four services and three locations, is a job you'll abandon by the third Friday. And because answers vary, occasional manual spot-checks can genuinely mislead you.
That's the honest case for a tool — not that you can't do it by hand, but that consistency is hard to sustain. Reputably runs the fanned-out, buyer-style questions against the live ChatGPT, Gemini and Claude models on a schedule, records whether you're named and who's ahead of you, tracks the trend, and — because it also handles your reviews and community presence — ties the number to the levers that actually move it. If you're weighing options, compare the best AI visibility tools; if you run an agency, see how to report this to clients.
Checking AI recommendations, answered.
How do I check if ChatGPT recommends my business?
Open ChatGPT in a fresh, logged-out session and ask it the way a customer would — 'best emergency plumber in Leeds', 'who should I call for a blocked drain near me' — then note whether your business is named and who's named ahead of you. Repeat with five or six different phrasings, then do the same on Gemini and Claude. One answer proves nothing because answers vary by wording and session; a pattern across many phrasings and all three models is the real signal.
Why does ChatGPT name my competitor but not me?
Because the assistant leans on signals it can find and trust: the volume and sentiment of your reviews, consistent business information across the web, and genuine community discussion — Reddit threads, forum mentions, articles that name you. If a competitor has more of that signal, they get named. It usually isn't about your website; it's about how much credible, third-party evidence exists that you're a good choice.
How often do AI recommendations change?
Often enough that a one-time check is unreliable. Models get updated, the sources they draw on shift, and competitors do reputation work that moves their standing. A practice named this month might not be next month. That's why checking is a habit, not a one-off — you're tracking a direction of travel, not taking a single photograph.
What actually moves whether AI recommends me?
The same things that make you a genuinely trusted local choice: a steady flow of positive reviews, business details that match everywhere they appear, and real mentions in the communities where your customers talk. There's no prompt trick — the assistant is summarising the web's consensus about you, so the work is improving that consensus. Reviews and authentic community presence move the needle far more than anything you can change on your own site.
Can I automate checking whether AI recommends me?
Yes. The manual audit is worth doing once by hand, but keeping it up across dozens of phrasings, three models and a weekly schedule is tedious. Reputably runs buyer-style questions against the live ChatGPT, Gemini and Claude models, fanned out across many phrasings, tracks whether you're named and who's ahead of you, and shows the trend over time — so you measure consistently instead of checking once and forgetting.
Related guides.
Facts checked July 2026. ChatGPT, Gemini and Claude are trademarks of their respective owners; Reputably is not affiliated with or endorsed by them. AI answers vary by phrasing, session and over time — descriptions here reflect how generative recommendation works by design.
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