Who this is for:This playbook is built to run yourself, with the free checker below and a self-serve plan. Prefer's done-for-you Managed service is built for larger brands, so a local business is best served running these plays in-house or with a local marketer.
Why AI search decides local businesses outcomes
6% to 45%
of consumers now use AI to find local businesses
BrightLocal's Local Consumer Review Survey 2026 (1,002 US consumers) found the share using AI tools for local recommendations jumped from 6% to 45% in a year. AI is now the third discovery channel for local, behind Google and Facebook.
68%
of local searches now show an AI Overview
Whitespark ran 540 local queries across three US cities and six industries: AI Overviews appeared on 68% of local business queries on average, versus 39% for the local pack. It is over 90% on informational and hybrid questions but only about 15% on pure 'near me' local-intent queries, where the local pack still leads (Whitespark, 2025).
31%
used ChatGPT to pick a business this year
BrightLocal, 2026: 31% of consumers used ChatGPT for a business recommendation in the last year and 23% used Google AI Mode, so a local answer is now decided across several engines, not just the Google local pack.
42%
trust an AI pick as much as a review
Among consumers, BrightLocal found 42% trust an AI recommendation as much as a customer review, and 63% of active AI users trust AI recommendations. Being the recommended business now carries the weight being the well-reviewed one used to.
The buyer prompts that decide local businesses
| Prompt family | An example buyer asks | What wins the citation |
|---|---|---|
| Category and placeCustomer wants local options | best coffee shop in [city] | A complete Profile plus a place in the 'best of [city]' lists engines cite for the category |
| Near me and urgentCustomer needs someone right now | emergency plumber open now near me | Accurate hours, service area and real-time attributes on your Business Profile |
| Informational and localCustomer is researching before they choose | how much does a dentist visit cost in [city] | Answer the question plainly on your site with LocalBusiness schema |
| Fit and specialtyCustomer has a specific need | vegan-friendly restaurant in [city] | State the specialty explicitly on your Profile, your site and your reviews |
| ComparisonCustomer is choosing between two | [business A] vs [business B] | Consistent facts and strong, recent reviews on both names |
| ReputationCustomer is checking reviews before they call | is [your business] any good | Review volume and recency, plus a reply that addresses the recurring complaint |
Example prompts are illustrative of each family; run your own category, rivals and personas to build the real set.
Which engines matter for local businesses, and why
- Primary
Google AI OverviewsThe center of local AI search. AI Overviews appear on most local queries and Google's AI Mode answers them conversationally, both riding your Business Profile, Maps data and local index. Get those facts right and you are in the majority of local AI answers. - Primary
ChatGPTNearly a third of consumers used it to find a business this year. It answers well-known names from memory and, when it searches live, tends to pull from sources like Maps, Yelp and Reddit, so both your listings and your local reputation matter. - Secondary
GeminiGoogle's assistant taps the same Business Profile, Maps and review data as AI Overviews, so the local groundwork you do for Google carries over here with little extra work. - Secondary
PerplexityCites its sources inline and rewards consistent listings and visible reviews a customer can click to verify.
Who AI reads for local businesses answers
- Google Business ProfileListingThe master record for your business. It feeds Google Maps, the local pack and AI Overviews, so its categories, hours, services and Q&A are the facts AI repeats about you.
reddit.comCommunity'Best [category] in [city]' threads are where locals trade real recommendations, and ChatGPT reaches for them. A business people vouch for on Reddit gives AI a corroborating signal.
yelp.comReview siteYelp, TripAdvisor and category review sites carry aggregate sentiment and structured business details into answers. Recent, responded-to reviews weigh most.- local directoriesDirectoryAngi, BBB, Yellow Pages, chambers and industry directories. Their main job for AI is corroboration: the same name, address and phone everywhere is a trust signal.
- 'best of [city]' listsListicleLocal-news 'best of' guides and neighborhood blog roundups are the pages AI cites for 'best [category] in [city]'. One accurate placement enters answers your own site cannot win alone.
- your websiteOwnedService and location pages with LocalBusiness schema and a plain answer to the common questions. Your own site is cited when it states the facts clearly, but it is one voice among many.
These source patterns trace to our four-engine AI Citation Study; re-check them as the category moves.
local businesses-specific moves
- Own and complete your Google Business ProfileIt is the master record AI reads for Maps, the local pack and AI Overviews. Fill every field, choose the right primary and secondary categories, keep hours and services current, and answer the questions people ask on it.
- Make your business facts identical everywhereYour name, address, phone, hours and categories should match across your Profile, Yelp, directories and your site. When sources disagree, AI has a reason to trust a competitor instead.
- Run a steady review engineAsk every happy customer, reply to each review, and address the recurring complaint at its source. Reviews are the signal AI reads to decide who to name, and recency counts.
- Get into the 'best of [city]' listsThe local-news and blog roundups engines cite for 'best [category] in [city]'. An accurate placement puts you into answers your own site cannot win alone.
When someone asks AI for a plumber, a dentist, or the best coffee in town, the answer names a few businesses and gives a reason for each. Prefer (our product) shows whether you are one of them: the free AI visibility checker below gives you a baseline, and the self-serve Starter plan at $24 a month tracks your local prompts on ChatGPT, Gemini, Perplexity, Google AI Overviews and AI Mode. The sections above show where you stand: the questions your customers actually ask, which engines answer them, and who AI reads to decide who to name. One idea runs through every play below and it is worth saying plainly: AI recommends the business whose facts are complete, consistent, and well-reviewed across the sources it trusts, not the one with the best website copy. The plays follow, in the order a business starting from low visibility should run them.
The plays that win local recommendations#
Perfect your Google Business Profile
Complete and correctly categorize the record that feeds Maps, the local pack and AI Overviews, because it is the single source AI reads most for local answers.
Your Business Profile is the structured record Google's AI repeats about you, and AI Overviews now appear on 68% of local searches. An incomplete or mis-categorized Profile keeps you out of the exact answers you should win, so this is the highest-impact hour you can spend. (Whitespark, AI Overviews in local search, checked 2026-09-01)
- Claim and verify your Profile, then complete every field: description, services, service area, hours, attributes and photos.
- Choose the most accurate primary category, then add the secondary categories that match what customers actually ask for.
- Answer the questions in the Q&A yourself, in plain language, because those answers get lifted directly.
- Keep hours and special hours current; a wrong 'open now' is the fastest way to lose an urgent-intent answer.
Done when: Every field is complete and accurate, the categories match your real prompts, and the Q&A answers the common questions.
Verify it worked: Ask a category-plus-city prompt in Google AI Overviews and ChatGPT and check whether the details they repeat about you are right.
Common failure mode: A thin or mis-categorized Profile. Engines read it literally, so the wrong category or stale hours keeps you out of the answers you should win.
Make your business facts identical everywhere
Match your name, address, phone, hours and categories across every source AI checks, because disagreement is a reason for AI to name someone else.
AI corroborates across sources before it recommends, and when your details conflict between your Profile, Yelp, directories and your site, it has less reason to trust you. Consistency is the underlying signal these systems check, and fewer than half of the businesses leading Google's local pack also get named by AI, which corroborates across more sources than the pack does. (Search Engine Journal, how AI picks local businesses, checked 2026-09-01)
- Write down your exact name, address, phone, hours and categories as the one correct version.
- Audit your main listings (Google, Yelp, Apple Maps, Bing Places, the big directories) and fix every mismatch.
- Correct old listings and duplicates, which are a common source of conflicting facts.
- Put the same facts, in machine-readable form, on your own site (see play 4).
Done when: Your name, address, phone, hours and categories are identical across every major source and your own site.
Verify it worked: Search your business name and scan the listings AI would read; every one should show the same facts.
Common failure mode: Letting a duplicate or an old address linger. One contradicting source is enough to make AI hedge or pick a competitor with cleaner data.
Build a steady review engine
Earn recent, responded-to reviews on the platforms AI reads, because review sentiment and recency are what it weighs to decide who to name.
Reviews are the local trust signal, and 42% of consumers now trust an AI recommendation as much as a review, so the two reinforce each other. AI reads aggregate sentiment and recency, which means a steady flow of recent reviews beats a big pile of old ones, and an unanswered complaint reads as an unresolved one. (BrightLocal LCRS 2026, checked 2026-09-01)
- Ask every happy customer for a review at the moment they are happiest, and make the link one tap.
- Reply to every review, positive and negative, because visible responses are part of what AI reads.
- Find the recurring complaint across your reviews and fix it at the source, then say so in your replies.
- Keep it steady; a consistent trickle of recent reviews signals an active, trusted business.
Done when: You gather recent reviews on a regular cadence, reply to all of them, and have addressed the top recurring complaint.
Verify it worked: Ask a reputation prompt ('is [your business] any good') in ChatGPT and Perplexity and check whether the sentiment it reports matches your recent reviews.
Common failure mode: Buying or gating reviews. Fake or one-sided review patterns get discounted and can get you penalized, and they never survive a customer's own check.
Publish location and service pages with LocalBusiness schema
Put your facts on your own site in a form AI can read without ambiguity, and give each location and service its own answerable page.
Your site is the one source you fully control, and it gets cited when it states the facts plainly and marks them up. LocalBusiness schema makes your name, address, hours, geo and services machine-readable, and a page per location or service gives AI a specific, answerable target instead of a single generic homepage.
- Add LocalBusiness (or the right subtype) schema with your exact NAP, hours, geo-coordinates and services.
- Give each location its own page, and each core service its own page, with a clear answer to the common questions.
- Lead each page with a self-contained answer a model can lift, then the detail below it.
- Keep the on-page facts identical to your Profile and listings (play 2), so your own site corroborates rather than contradicts.
Done when: Every location and core service has its own page with valid LocalBusiness schema and a plain answer to the common questions.
Verify it worked: Run your pages through a schema validator, then ask an informational local prompt and check whether your page is cited.
Common failure mode: One generic homepage for every location and service. AI cannot cite a specific, local answer it cannot find, so it quotes a competitor who published one.
Get into the 'best of [city]' lists and local threads
Earn accurate placements in the roundups and community threads AI reads for 'best [category] in [city]', the answers your own site cannot win alone.
For category-plus-city prompts, AI leans on third-party roundups and community recommendations more than on any single business site. A place in a local-news 'best of' guide, or a genuine recommendation in the right Reddit thread, puts you into answers your homepage cannot reach, which is why this off-page work is worth the outreach. (Prefer Reddit study, checked 2026-08-19)
- Run your category-plus-city prompts and note which 'best of' guides and threads get cited.
- Pitch the local publications and bloggers behind those guides with a specific, checkable reason to include you.
- Take part honestly in the local subreddits and forums where people ask for recommendations; be useful, not promotional.
- Where a roundup lists you wrong or omits you, offer the correction and a reason to add you.
Done when: You are accurately listed in the top 'best of [city]' guides for your category and present in the threads AI cites.
Verify it worked: Ask your category-plus-city prompt in ChatGPT and Google AI Overviews and check whether the guides they cite now include you.
Common failure mode: Spammy self-promotion in community threads. It gets removed, and a recommendation that reads as planted persuades no one, including the model.
How this fits your local SEO and reputation#
None of this replaces local SEO or word of mouth. The same complete Profile, consistent listings and strong reviews that win the map pack also feed AI answers, so a business with solid local SEO has a real head start. The difference is what wins the citation: AI corroborates your facts across more sources than the local pack does, and it rewards consistency and recent reviews over website copy. Because a “best [category] in [city]” answer never had a rank to begin with, judge this work by whether it names your business, not by any position.
Start with what AEO is for the full method behind these plays, or browse every AEO-by-business-model playbook to compare your model with the others. If your business also sells online, the AEO for an ecommerce store playbook covers the product and category answers that sit alongside your local ones.
A worked example
A single-location dentist
Wins by perfecting one Business Profile, running a steady review engine, and answering the questions patients ask ('does this dentist take [insurance]', 'emergency dentist near me') plainly on the site with LocalBusiness schema.
A multi-location HVAC company
Needs a separate, complete Profile and a location page per city, identical business facts across all of them, and 'best of [city]' placements earned metro by metro. Keeping every location consistent is the hard part and the whole game.
A neighborhood restaurant
Lives on reviews and lists: a complete Profile with menu, strong Google and Yelp reviews, and presence in the 'best [cuisine] in [city]' roundups and Reddit threads AI reads for dining questions.
These are illustrative archetypes, not real businesses or customers.
Sources
- BrightLocal, Local Consumer Review Survey 2026 (AI recommendations)
- Whitespark, the prevalence of AI Overviews in local search (540 queries, 2025)
- Prefer AI Citation Study, who gets cited in AI search (four engines)
- Prefer Reddit study, Reddit is the most-cited source ChatGPT names
- Search Engine Journal, AI assistants are choosing local businesses for your customers
People also ask
- How do local businesses show up in AI search results?
- How do I get my business recommended by ChatGPT?
- Which sources do AI assistants use to recommend a local business?
- Does my Google Business Profile affect AI Overviews?
- How is AEO different from local SEO?