Someone nearby just asked an AI where to go. Local AEO is how you become the answer it gives

A local business used to compete for one thing: a spot in Google's map pack or the first page of results. That competition still matters, but a second one now runs alongside it, and it works on different rules. When someone asks an AI assistant directly instead of typing a search, the assistant picks a small handful of businesses to name and leaves everyone else out of the conversation entirely.

That second competition is not simply a smaller version of the first. A business can hold a strong Google listing for years and still be invisible in this newer channel, because an AI system is not ranking pages, it is trying to answer confidently, and it favours businesses whose details it can verify quickly over ones it has to piece together from inconsistent listings.

The gap between the two is not marginal. It is closer to a different level of competition altogether, which is worth taking seriously before assuming last year's local SEO checklist still covers it.

Most of the work is unglamorous consistency rather than a new tactic. The business name, category, address, phone number, and hours need to read identically wherever an AI system might encounter them: the website, the Google Business Profile, and any directory listing still in use. A mismatch anywhere is a reason for the system to hedge or leave the business out rather than risk an inaccurate answer.

The website itself needs to state its category and service area in plain language near the top of the page, not bury it under a slogan. LocalBusiness structured data should name the business, its address, and its service offerings explicitly, because that markup is exactly the kind of unambiguous signal a language model can lift directly instead of inferring from marketing copy.

Reviews still matter, but their role shifts slightly: a language model reads them as evidence toward a specific claim, such as whether a business handles emergency callouts or works with a particular kind of client, rather than only as a star average to display.

Most of this is the same underlying discipline as answer engine optimization generally, applied to a business whose customers are searching within a specific radius rather than anywhere.

Start with consistency before structure. An hour spent confirming the business name, address, and phone number match exactly across the website, the Google Business Profile, and any directories still carrying the listing removes more ambiguity than most technical fixes that come after it.

From there, the website itself is the next lever. A homepage or service page that states the category and location in the first sentence, backed by LocalBusiness structured data, gives an AI system something it can quote with confidence instead of something it has to reconstruct.

This is not a one-time project. AI systems recrawl and re-verify, so the businesses that stay visible are the ones that keep their details consistent as they change, not the ones that fixed everything once and moved on.