Local business
That question used to be answered by ten blue links, then by the Google Maps 3-pack. Now ChatGPT, Google AI Mode and AI Overviews, and Perplexity synthesize a direct answer instead of a list, and they only name businesses they can cite cleanly. Ranking well for the click and being named in the answer are no longer the same contest.
The problem
A customer typing a local question into ChatGPT or Gemini today gets a short, direct answer, not a page of results to click through. What that answer draws on is different for every vertical, but the shift is the same: fewer clicks, more synthesis, and a much smaller shortlist of businesses that actually get named.
"Best Italian restaurant near downtown that takes reservations for six tonight"
Instead of ten links to review sites, the AI answer names two or three specific restaurants directly, drawn from Google Business Profile hours, structured menu and reservation data, and review text that mentions party size, cuisine, or dish names. A restaurant with strong reviews but a stale profile and no structured hours can lose a candidate slot it would have won in the 3-pack.
"Pediatric dentist near me that accepts new patients and takes my insurance"
The answer has to resolve specialty, credentials, and a practical filter (new patients, insurance) in one pass. A practice that states its specialty and accepted plans as discrete, checkable facts, not a paragraph of prose, gives the model something to extract and cite; a generic 'family dental care' description does not.
"Small business tax attorney near me who handles LLC formation"
For a considered, higher-stakes purchase, the AI answer leans on evidence of expertise and scope: named practice areas, credentials, and corroborating mentions across more than one source. A firm's homepage copy alone rarely gives a model enough to cite with confidence; a directory listing or a review naming the specific practice area often does.
Ranking in the local 3-pack and being cited in an AI-generated answer are two different games, run by two different systems on two different inputs. A business can win one and lose the other on the exact same search.
How the local 3-pack and AI Overviews actually differWho this is for
The four mechanics below (profile, reviews, schema, consistency) apply to any local business, but which one moves the needle first depends on the vertical.
Review text with specifics (dish names, party size, occasion) plus structured, current hours and menu data.
Named specialty and credentials as discrete facts, plus a clear, structured FAQ answering practical filters like insurance and new-patient status.
Corroborated proof of expertise, named practice areas and service coverage, consistent across your own site and outside listings.
The mechanism
This is not a promise of a ranking outcome. It's the four inputs a citation-generating system for a local query draws on, in the order they tend to matter for a small business, each one a full walkthrough on its own.
For Google's own AI Overviews and AI Mode, your Business Profile is a data layer read directly, not a page crawled and inferred. Services, hours, attributes, and posts feed the answer far more directly than your website's prose does.
Optimize your Google Business Profile for AI OverviewsAn AI engine drawing on reviews extracts what's actually written down: specific dishes, named services, staff mentions. A high star average built from generic one-liners gives it a number but almost nothing to quote.
How reviews actually feed AI answersStructured markup gives any engine, not only Google, a machine-readable version of your name, category, hours, and reviews, instead of asking it to infer those facts from a paragraph.
Implement LocalBusiness schema, step by stepThe same name, address, phone, and category, matching exactly, not just similarly, across your site, your profile, and the directories that matter for your category, is what lets a cross-referencing system corroborate a fact instead of flagging a mismatch.
Build a citable local business profileThe product
The free scan and the paid reports check these same four pillars, specifically for local queries: whether your Google Business Profile is extraction-ready, whether your reviews carry citable specifics, whether your local schema is present and accurate, and whether your NAP is consistent across the sources that matter for your category.
A Compete report is the faster read: your citation standing against the competitors you name, in a single pass. A Deep Research report goes further on the same question, more prompts, more depth per finding, which is usually the better fit once a business runs more than one location, since each location can look completely different in the same set of AI answers. Neither is a subscription; neither renews.
FAQ
They overlap but optimize for different judges. Local SEO optimizes for ranking algorithms (Google Maps, organic local results). Local GEO optimizes for what a generative AI engine extracts and cites when it synthesizes a direct answer instead of a ranked list. A business can rank well in the local pack and still not get named in an AI Overview or a ChatGPT answer for the same query, because the two systems weigh different signals.
Yes, directly. Google's AI Overviews and AI Mode draw local facts, services, hours, attributes, from your Business Profile data layer, not from crawling your website. A profile that's '100% complete' in Google's own dashboard can still be thin from an extraction standpoint if that completeness is generic rather than specific, checkable facts.
Yes, mainly through the text, not the star average. An AI engine can only repeat what's actually written down. A review naming a specific dish, service, or staff member gives it something concrete to extract; a long string of unadorned five-star ratings gives it a number and very little to quote.
Yes, and it usually matters more. Each location runs its own local competitive set, so a business can be cited in one city and invisible in another under the exact same brand. That's the case where a Deep Research report, checking more prompts and more depth per location, tends to be the better fit over the faster Compete report.
A local SEO audit checks ranking factors for Google Maps and organic local results, backlinks, on-page keywords, citation volume. A GEO audit checks the separate, narrower question of what a generative AI engine extracts and cites when it answers a local query directly, which draws on an overlapping but not identical set of signals, and doesn't move in lockstep with your Maps ranking.
One-time report, no subscription, delivered in days.