How AI assistants decide which local business to recommend
Nobody publishes the recipe. But the businesses that get named have the same handful of things in common, and every one of them is within your control.
When you ask an AI assistant for a recommendation, it feels like a judgment. It is closer to a research summary. The assistant searches, reads what it finds, and writes the answer it can best support with what it read. If it cannot find much it can support about your business, you are not in the answer, however good your work is.
So the question is not "how do I impress the AI." It is "what does it find when it looks me up, and does it add up?"
Where it looks
- Your website. Especially pages that match the question closely: the service, the town, the type of job.
- Your Google Business Profile. Categories, service area, photos, and above all reviews.
- Review and directory sites. Yelp, Angi, Houzz, BBB, trade-specific directories. Which ones matter depends on your trade.
- Lists and articles. Local "best of" roundups, news mentions, association member pages.
- Conversations. Reddit threads, town Facebook groups and forums where neighbors recommend people by name.
What makes a business easy to name
In the audits we run, the named businesses rarely have the flashiest sites. They have sites that are easy to summarize.
They say where, specifically. "Serving the North Shore" is a region. A page titled "Kitchen remodeling in Beverly, MA" with a Beverly project on it is an answer. When someone asks about Beverly, the second one matches.
They show proof in words. A photo gallery with no captions says nothing to a model. "Full kitchen remodel with a relocated island, Beverly, 2025" says a lot. So does a review that mentions the town and the job.
They are consistent. The same business name, address or service area, and phone number everywhere. A business listed three different ways looks like three different businesses, or none.
They are marked up. Schema tells the machine directly: this is a LocalBusiness, it serves these towns, it offers these services, these are its reviews, these are its frequently asked questions. It is the difference between hoping the model infers something and telling it.
The models don’t infer. They match. Give them something to match.
Where does AI search put you?
Free audit. About a minute. We ask the AI assistants about your business and town, read your site the way they do, and email you the report.
Why a competitor gets named for your town
This is the one that frustrates owners most. A business two towns over, sometimes one you know does worse work, gets recommended for your own town. Nine times out of ten the reason is mundane: they have a page about your town and you do not. Or they have a case study with your town in the title. The model found a direct match and used it.
That is not a reputation problem. It is a structure problem, and structure is the fastest thing to fix.
What you can do this month
- Make sure your homepage says, in the first paragraph, what you do and the town you are based in.
- Build a page for each town you genuinely serve, with something true and specific about working there.
- Rename your case studies or gallery entries by the work and the town.
- Ask your next ten customers to mention the town and the service in their Google review.
- Check that your name, phone and service area match on Google, Yelp and Facebook.
None of that requires a new website. All of it makes you easier to name.
Get your free AI visibility audit
See who AI names for your service and town, what is missing on your site, and what fixes it. Emailed as a PDF, no call required.
