AI search tools such as Google’s AI Overviews, ChatGPT and Perplexity tend to mention local businesses that are clearly described, consistently listed and well reviewed across sources they can read. They draw on websites, business listings, review sites and other pages that mention the business. Exactly how each tool chooses, and how much weight each signal carries, is not published and changes often. Anyone claiming a guaranteed way to be recommended is guessing.
Here is what is reasonably well understood, and what is not.
Where do these tools get their information?
Most AI search tools combine two things: what their underlying model learned during training, and pages they retrieve from the web when you ask a question. For local recommendations, the retrieval part matters most. They read business listings, Google Business Profiles where available, review platforms, directories, news and the businesses’ own websites.
Different tools use different sources. Google’s AI features draw heavily on Google’s own index and Business Profile data. Other tools rely on other search providers and partners.
What seems to help a business get mentioned?
- Clear, specific website content. Pages that state plainly what you do, for whom and where. A tool cannot recommend you for a service your site never clearly describes.
- Consistent business details. The same name, address, phone number and service area across your website, Business Profile and listings.
- Reviews. A good volume of recent, specific reviews on major platforms.
- Mentions elsewhere. Being named on credible local sites, associations or news gives the tools independent confirmation.
- Readable structure. Clear headings, question-and-answer sections and structured data make your content easier to extract accurately.
Notice that this list closely matches good local search practice. There is no separate secret recipe.
What is still unknown?
- How each tool weighs these signals against each other.
- How often their sources are refreshed, so how quickly changes show up.
- How much answers vary between users, wording and locations. They vary a lot.
- Whether files such as llms.txt make a meaningful difference. They are cheap to add, but evidence is thin.
Check it yourself
- Ask two or three AI tools a question a customer would ask, such as “Who does roof replacement near [your town]?”
- Note whether you are mentioned, and whether the details are accurate.
- Record the exact question, the tool and the date. Answers change, so a single result proves little.
- If details are wrong, find where they might come from: an old listing, an outdated page.
When this does not apply
For most service businesses today, traditional search and map results still deliver far more customers than AI tools. Treat AI visibility as a reason to do the basics well, not as a separate project that replaces them.
Questions owners ask
Can we pay to appear in AI answers?
Advertising inside some AI tools is emerging, but organic mentions cannot be bought.
Should we write content specifically for AI?
Write clearly for people. Direct answers, specific facts and good structure help both.
How would we measure it?
Imperfectly. Periodic manual checks with recorded prompts, plus watching for visitors who arrive from AI tools in your analytics.
The single biggest foundation is having a clear page for each service, covered in why a service you offer does not show up in Google. We treat AI visibility as part of Search Growth, and record what we can and cannot verify.