How to get your business recommended by ChatGPT and Google AI Overviews

A share of your next clients will shortlist providers without ever seeing a search results page. They will ask an AI, and knowing how to get recommended by ChatGPT and Google’s AI Overviews decides whether you are in that answer.

The scale is no longer speculative. BrightLocal’s 2026 Local Consumer Review Survey found 45% of consumers have used AI tools such as ChatGPT, Gemini or Perplexity to find local businesses. Semrush tracked Google’s AI Overviews growing from 6.5% of queries in January 2025 to a mid-year peak near 25%.

By the end of this guide you will have:

• The four signals every AI answer checks before it names a business.
• The overlap with fundamentals you may already half-own.
• A prioritised starting checklist and a monthly baseline tracker.

How people actually ask AI for providers

These are the prompt shapes we see buyers use, worth reading because they are more specific than search ever was:

“Best cosmetic dentist in Adelaide for veneers, mid-range budget, and why?”

“I need a mortgage broker for a first home, self-employed. Who should I talk to in SA?”

“Compare solar installers near Glenelg with good reviews on battery installs.”

Notice what the AI must do: pick two or three names and justify them. It is the invisible buyer journey’s shortlist stage, compressed into one answer, and the justification comes from evidence the model can find about you.

The four signals: how AI answers choose businesses

AI systems do not take submissions. They assemble answers from evidence, and the evidence clusters into four signals:

Signal	What the AI is looking for	Where you control it
Entity clarity	An unambiguous answer to “who is this business and what are they known for, where?”	Consistent name, category, services and location everywhere you appear
Reviews	Volume, recency and specific detail it can quote as justification	Your review generation and response system
Citations	Mentions on sources it trusts: directories, news, industry sites, “best of” lists	PR, partnerships, directory hygiene, local press
Structure	Content machines can parse and quote: clear pages, direct answers, schema markup	Your website architecture and content format

No single signal wins alone. A business with glowing reviews but chaotic listings confuses the entity check; a beautifully structured site nobody cites has nothing backing its claims. The four compound.

The overlap with fundamentals

Here is the encouraging part: AI visibility is mostly credibility work you should be doing anyway, now compounding in a second arena.

• Google Business Profile feeds both the local pack and AI answers. Complete, accurate, actively managed.
• Consistent listings across directories settle the entity question. Same name, phone, categories everywhere.
• Genuine, recent, detailed reviews and reputation are the quotable justification; 97% of consumers read them and so, effectively, do the models.

What is new is deliberateness: treating “what does the machine understand about us?” as a maintained asset rather than an accident of history.

Do this before you move on:

• Ask ChatGPT and Gemini: “best [your category] in [your city], and why?” Record what is said about you and competitors.
• Search your exact business name plus suburb. Every inconsistent listing you find is entity noise; fix the worst three.

Content that gets cited

AI answers quote sources that answer questions directly. That rewards a specific style of page:

• One real question per page or section, answered in the first two sentences, then expanded. The question as the heading, phrased how buyers ask it.
• Money answers included: costs, timeframes, comparisons, risks. The questions early researchers ask are the ones AI gets asked.
• FAQ blocks with schema markup on service pages, giving machines cleanly structured question-answer pairs.
• Specifics over adjectives. “Most installs finish in one day; complex roofs take two” is quotable. “Fast, professional service” is invisible.

What to stop doing

Some habits actively hurt in this arena:

• Publishing thin AI-generated content at scale. The systems you are courting are good at recognising their own output, and it earns no citations.
• Keyword stuffing and doorway pages. Entity confusion in exchange for tactics that stopped working in classic search years ago.
• Chasing hacks over sources. There is no meta tag that makes AI recommend you. The shortcut-shaped offers appearing in your inbox are selling exactly that.

Measuring AI visibility

You cannot rank-track AI answers the old way, but you can baseline and trend:

• Monthly prompt panel. The same 5 to 10 buying-intent prompts, run in ChatGPT, Gemini and Google (AI Overviews), same time each month. Record: mentioned or not, what was said, who else appeared.
• Referral traffic. Watch analytics for visits from chatgpt.com, gemini.google.com, perplexity.ai. Small numbers, high intent, growing.
• “Heard of you” tracking. Add “asked an AI” to the where-did-you-hear-about-us options in your enquiry tracking.

The starting checklist

In priority order, first month to first quarter:

• Run the prompt panel once and save the baseline.
• Google Business Profile complete and accurate: categories, services, hours, photos.
• Top 10 directory listings consistent (name, address, phone, category).
• Review system live: steady asks, all reviews answered, specifics encouraged.
• FAQ schema on service pages, answering real buyer questions.
• One money-question page published per core service (cost, timeframe, comparison).
• Chased two or three citation opportunities: industry directories, local press, association listings.
• Prompt panel repeated monthly, trend recorded.

FAQ

Does ChatGPT really recommend local businesses?

Yes, and with reasons attached: 45% of consumers have already used AI tools to find local businesses (BrightLocal, 2026). Ask it about your own category and city; whatever it says is what a portion of your market is hearing right now.

Is AEO different from SEO?

Answer engine optimisation builds on SEO rather than replacing it: same foundations (entity clarity, reviews, authoritative mentions, crawlable content), with extra weight on directly answered questions and structured data. Done well, one effort feeds both classic rankings and AI search.

How long does it take to show up in AI answers?

Listings and profile fixes can influence answers within weeks; reviews and citations compound over months. Treat it like early SEO: those who build the evidence base now are the default answers later, and incumbency in AI answers looks sticky.