How do you get your business mentioned by ChatGPT?
There's no submission form and no paid placement. There is a repeatable set of moves that make you retrievable — here they are, in priority order.
You can't submit your business to ChatGPT, and nobody at OpenAI is taking placement fees. AI assistants mention businesses for two reasons: the business appears consistently in what the model learned from the open web, or it surfaces when the assistant searches the live web mid-conversation. You can't buy either. You can engineer the conditions for both — and the second one responds fast.
I build and grade for this daily — it's the problem my GetFound3 audit tool exists to measure — and across every audit, the businesses that AI assistants describe accurately share the same handful of properties. In priority order:
1. Be one unambiguous entity
Before a model can recommend you, it has to be certain you exist and be sure which "you" it means. That certainty comes from consistency: the same business name, same description, same location, same facts on your website, Google Business Profile, LinkedIn, and every directory that lists you. Every variation — old addresses, three different taglines, a legacy name on some listing — splits your identity into fragments the model can't confidently merge. Fragments don't get recommended.
Then say who you are in machine-readable form: Organization or LocalBusiness schema on your site, one canonical identifier, your profiles linked via sameAs. This is an afternoon of work and it's the highest-leverage afternoon in this entire list.
2. Answer the questions people actually ask assistants
Nobody asks ChatGPT for your brand name. They ask "best CRM for a small landscaping company" or "who does storm-damage roof repair near Asheville." When an assistant handles that, it searches, reads a handful of pages, and composes an answer from what it can quote.
So your pages need to be the quotable material: a page per real question, opening with a 40–60 word paragraph that answers it completely, specifics after. Service, area, who it's for, what makes it true — in words a model can lift verbatim without editing. Vague positioning language ("solutions that empower your success") is unquotable, and unquotable means invisible.
3. Get said by someone other than yourself
Models weight corroboration. A business described the same way by its own site, a local news article, an industry directory, and a chamber listing is a fact. A business described only by itself is a claim. Real mentions in local press, reviews on the platforms assistants read, entries in the directories that matter for your industry — these do double duty, feeding both training data and live-search results. This is old-fashioned reputation work; AI didn't change it, AI just started reading it aloud.
4. Keep the machine layer clean
The mechanics still gate everything: crawlable pages that don't require JavaScript to render their content, real titles and dates, fast responses, no robots.txt rules accidentally blocking AI crawlers (check — it's more common than you'd think). If the assistant's crawler can't read the page, nothing upstream matters.
5. Stay current — live search is your fast lane
Training data bakes slowly; you can't schedule your way into a model's weights. But assistants increasingly answer with live retrieval, and live retrieval favors pages that are current, dated, and specific. Fresh content about what you actually do, published on a real cadence, gets you into answers within days or weeks, not training cycles. It's also, not coincidentally, the same thing classic search wanted.
What to ignore
Anyone selling guaranteed AI placement, secret prompt tricks, or "one weird schema tag." There is no ranking API to game. There's also no need for one: assistants are trying to give accurate answers from trustworthy sources, so the entire strategy reduces to making the accurate answer about your business easy to retrieve. Consistency, quotability, corroboration, crawlability, currency.
Measure it the empirical way: ask ChatGPT, Perplexity, and Gemini the questions your customers ask, note whether you appear and what they get wrong, fix the source of each error, and re-test monthly. What's missing from the answers tells you exactly what's missing from the record.