What changed about local search?

The near-me query used to return a map pack and ten links; the customer compared, read reviews, chose. Now the customer asks ChatGPT, Gemini or Google AI Overviews and receives two or three names with reasons — open now, takes Delta Dental, reviewers mention the same team every time. The comparison happens inside the answer. Scale: AI Overviews serve 2.5 billion+ monthly users (Alphabet, Q2 2026); the Gemini app passed 750 million MAU and builds local answers primarily from Google Business Profile, Maps and reviews. If your facts are incomplete or contradictory across those sources, the answer names the competitor whose are not. The full playbook hub: local business GEO.

The five foundations

  1. Google Business Profile, complete and active. Precise categories, attributes, current hours (including holidays), seeded Q&A, real photos, light posting cadence.
  2. Review operations. A steady, honest monthly cadence — ask everyone, pay no one, answer everything. Review text is the raw material AI quotes when explaining its recommendation.
  3. NAP consistency. One name, address format and phone number, byte-identical across every directory and profile. Inconsistency reads as uncertainty; uncertainty reads as risk.
  4. Website answers. Your top ten customer questions answered as text on your site — pricing shape, insurance, service area, policies — with LocalBusiness and FAQ schema. Engines cannot cite what does not exist as text.
  5. Bing Places claimed. ChatGPT’s local answers lean on Bing; most local businesses have never touched Bing Places, which makes it the cheapest visibility win available.

How much time does this actually take?

Honest numbers: the foundation month takes roughly ten to fifteen hours — claiming profiles, fixing listings, writing ten answer blocks. After that, maintenance is two to three hours a month: answering reviews, posting photos, checking hours, and a fifteen-minute monthly habit of asking the engines your five most important questions and screenshotting what they say. Most single-location owners do this themselves; the point where outside help pays is multi-location complexity or a competitive metro where the basics are not enough.

What GEO is not, for a local business

Not a replacement for being good — the review corpus reports reality. Not a one-time project — hours change, reviews accumulate, engines shift; the businesses that win run a light monthly routine. And not a guaranteed slot: anyone promising a specific AI ranking is selling fiction. What honest work delivers is verifiable: complete facts everywhere, a growing review corpus, and measured improvement in whether and how AI answers mention you — tracked with the four-dimension standard (Visibility, Citation Rate, Semantic Coverage, Brand Perception).

Which questions should you test first?

Ask the engines what your customers ask you on the phone: do they take my insurance, how much does it cost, are they open now, are they any good. Five questions, three engines, screenshots saved — that fifteen-minute habit is your measurement baseline, and it tells you within one month whether the foundations are working.

Your first month, concretely

  1. Claim and complete GBP; verify hours including the next holiday.
  2. Claim Bing Places; fix the top ten directory listings to one NAP.
  3. Publish ten customer-question answers on your site.
  4. Start the review cadence; answer every existing review.
  5. Run a free baseline in the GEO Checker and save the screenshots.

Frequently asked questions

How fast do local AI answers change?
Faster than national answers — local surfaces lean heavily on GBP and reviews, so completeness fixes and review texture can shift answers in four to eight weeks in most metros. Competitive categories take a full quarter of consistent work.
Do I need an agency for this?
For a single location, mostly no — the foundations are learnable in a weekend and the monthly routine is hours, not days. An audit helps when you are doing the work and still not appearing, or when multiple locations create entity complexity.