



"Plumber near me" used to be the whole query. Now people ask an assistant for an emergency plumber who can come tonight, or a dentist who takes their insurance.
Each condition in a request like that is a fact your listings and pages either confirm or leave out.
We’ll walk through where each AI assistant gets local business data, what decides who gets recommended and how to track each market.
AI search for local businesses works as a filter with several steps. The assistant narrows nearby options until it can recommend a few with confidence.
Read the request for category, location, urgency, preferences and the action the person wants to take.
Expand the question into related searches about hours, services, reviews, prices or availability.
Pull candidates from maps data, business listings, websites and review sites.
Cross-check the address, opening hours, services and service area across sources.
Weigh reputation from review text, local articles and community discussions.
Recommend a short list with links to call, get directions or book.
Step 2 is often called query fan-out. Google says AI Overviews and AI Mode may use it to find more supporting pages while they write an answer.
A question about the best emergency dentist in Austin can fan out into weekend hours, insurance, same-day appointments and patient reviews.
The classic local pack ranks Business Profiles for a short query. AI answers read a longer request and combine evidence from several sources.
The local pack answers "which businesses are nearby and relevant?" with a ranked map list.
An AI answer tries to settle "which businesses fit every part of my request?" and names only a few.
Traditional local SEO still feeds both. Your listings and reviews remain the base layer, with location pages on top.
What changes is the bar for evidence. If a business doesn’t state its emergency hours or insurance plans anywhere, it’s hard to recommend for those requests.
Each platform uses different sources. Once you know which listing feeds which assistant, you know where to fix your data first.
| Assistant | Relies on | Where to fix data first |
|---|---|---|
| Google AI Overviews and AI Mode | Business Profile and Merchant Center data | Google Business Profile and Merchant Center |
| Gemini | Google Maps information | Google Business Profile |
| ChatGPT | Approximate location and third-party providers of nearby business listings | Bing data and your website |
| Microsoft Copilot | The Bing search service | Bing Places for Business |
| Claude and Perplexity | Web search | Your website, listings and review profiles |
Google’s local results depend on relevance, distance and prominence, according to Google’s guide to local ranking.
The same guide says more reviews and positive ratings can help local ranking. Inaccurate business info can stop your profile from showing for relevant searches.
Google’s guidance on AI features lists up-to-date Business Profile and Merchant Center data as a best practice. It requires no special schema.
Gemini is Google’s assistant app. For place questions it can draw on Google Maps information, so the same Business Profile data matters here too.
Being listed is half of it. Also check how Gemini describes you, since outdated hours or services in your profile can surface in its answers.
OpenAI’s help article on ChatGPT search says it can use location to find local results. On iOS and Android, results may include a map.
ChatGPT uses an approximate location from the IP address unless the user shares device location. It may share location with third-party providers of nearby business listings.
The article points to the Microsoft privacy statement for its search providers. So accurate Bing data, and a website that states the facts plainly, can help in ChatGPT too.
Microsoft’s Copilot documentation says Copilot may fetch information from the Bing search service to ground its answers.
Bing Places for Business is the free listing for Bing Search and Bing Maps. Microsoft rebuilt it in October 2025 with an easier import from Google.
The Bing announcement also says Microsoft is working on deeper integrations with Bing Maps and Copilot.
Copilot answers can differ from Google’s, so track Microsoft Copilot visibility as its own channel.
Claude and Perplexity can search the web when they answer local questions. What they find is your website, your listings and your review profiles.
Consistent facts across those sources matter most. If your hours differ between your site and a directory, an assistant may skip you or repeat the wrong one.
AI assistants recommend a local business when they can verify that it fits every part of the request. Two kinds of questions need different evidence.
"Is there a plumber open now in Brooklyn?" has a right answer. The assistant needs hours, service area, services and contact details that agree across sources.
Your Business Profile, Bing Places listing and location pages are the main sources. Keep holiday hours, phone numbers and service areas identical everywhere.
"What is the best family-friendly restaurant near me?" depends on opinion. Here, review text, local press and community discussions carry more weight.
A generic five-star rating says little. A review that mentions a high chair, a quiet corner and fast service gives the assistant something specific to quote.
Ask customers for honest feedback and make it easy to mention the service they used, the problem solved and how quickly it happened. Never script or buy reviews.
Reply to reviews with useful context. Google says helpful replies can make your business stand out, though it doesn’t list replies as a ranking factor.
AI search is moving from recommendations to actions. Google said at I/O in May 2026 that it is expanding agentic booking in Search to local experiences and services.
The Google I/O 2026 Search announcement also says users can ask Google to call businesses in categories such as home repair, beauty and pet care.
That raises the cost of bad data. With wrong hours or a broken booking link, an agent may fail the task or pick a competitor.
Work through this list once per location. Start with the items behind your customers’ most common questions.
Claim and complete your Google Business Profile, including categories, services, attributes, hours and photos.
Claim Bing Places for Business and import your Google data. Then check every field it carried over.
Use the same name, address and phone number on your website, listings, directories and social profiles.
Build one page per location with the address, hours, services, service area, parking and booking options in plain text.
Answer local buying questions on service pages: prices or price ranges, emergency availability, insurance and guarantees.
Add LocalBusiness schema markup that matches the visible page, so facts stay consistent.
Let crawlers reach your site, including the AI crawlers you want to allow.
Earn local mentions in neighborhood guides, local news, chambers of commerce and trade associations.
Collect detailed reviews on the platforms your customers use, and reply to them.
Recheck the same local prompts every month and log what changed.
Our guide on checking whether AI crawlers can access your website covers item 7 step by step.
Local AI visibility only makes sense per location. The same prompt in Austin and Denver returns different businesses and different sources.
Start with 10 to 30 prompts per location. Mix urgent requests with comparisons and "is this a fit for me" questions, as in this example for a plumbing company.
Our guide to finding AI search prompts that drive revenue shows how to choose and prioritize them.
Track each platform separately. ChatGPT, Gemini, Google AI Overviews, Google AI Mode, Microsoft Copilot and Claude can recommend different businesses for the same prompt.
If you never appear, start with our checklist on why a brand does not appear in ChatGPT or Google AI.
| Mistake | Why it hurts |
|---|---|
| Different hours in different places | Assistants may skip you or repeat the wrong ones. |
| One page for all locations | An assistant can’t match a single page to a neighborhood request. |
| Ignoring Bing | Copilot depends on Bing search, and ChatGPT links its search providers to Microsoft. |
| Chasing star ratings alone | Short reviews give little evidence for specific requests. |
| Checking once | Local answers change, so a single test says little about next month. |
Ansvisor, an open-source AI search intelligence platform, runs your local prompts on a schedule. It stores every answer with the businesses named and the sources cited.
Prompt monitoring lets you filter prompts by region and language. Query fan-out analysis shows the sub-questions engines check before they recommend a business.
Use Ansvisor Cloud or self-host the open-source project on GitHub.
Start a 14-day free trial and check how AI assistants describe your locations this week.
Yes. Google ranks local results on relevance, distance and prominence, and advises keeping Business Profile data current for its AI features. Keep categories and hours accurate and collect reviews, since both make your business easier to recommend.
OpenAI does not name Google Maps as a source. ChatGPT uses approximate location and third-party providers for nearby listings. OpenAI refers to Microsoft’s privacy statement for its search providers, so keep Bing Places accurate.
Yes. Microsoft says Copilot grounds web answers with the Bing search service, and Bing Places is the free listing for Bing Search and Bing Maps. Claim it and import your Google Business Profile data.
Yes. Google says more reviews and positive ratings can help local ranking. Detailed reviews also tell AI assistants which jobs and customers a business handles well, which supports specific recommendations.
Build 10 to 30 prompts per location and run them on each AI assistant on a schedule. Record whether you are named, which competitors appear, which sources are cited and whether your facts are correct.
Co-founder at Ansvisor
Cihan Geyik is the co-founder of Ansvisor, an open-source, cloud-ready AI Visibility platform for AI Search. With more than 15 years of experience in digital marketing and growth, he writes about AI visibility, AI search, AEO, GEO, citations, and answer engines. He focuses on helping brands understand and improve their presence across ChatGPT, Gemini, Perplexity, Google AI Overviews, and other AI-powered discovery platforms.
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