When ChatGPT recommends a plumber or Gemini suggests a restaurant, where does that information come from? Understanding the answer helps you decide which signals to fix first.
The honest answer is that no public source can see every internal ranking or retrieval decision. What we can do is compare official search guidance, citation studies, local search testing, and what the tools visibly cite. That gives operators a practical map of the evidence layer.
The short answer
Visible citations and published studies show local-business answers drawing from review platforms, directories, websites, and news articles. The internal source mix varies by product, mode, prompt, and date, and no public source provides a complete ranking or retrieval map.
For the broader strategic frame, read What is Generative Engine Optimization?. For Google's own AI Search advice, read How Local Businesses Can Show Up in Google AI Search.
If ChatGPT is already showing the wrong hours, phone, service, or branch, use the business-information correction workflow to trace the visible source and verify the fix by market.
The longer answer
Modern AI assistants can combine model knowledge with web search or retrieval features. The balance is product- and query-specific.
Model knowledge can contain information learned before the current query, but vendors do not publish a complete business-by-business inventory of that knowledge.
Search and retrieval features can fetch current web information when the product and query use them. A local prompt does not guarantee that every available source will be searched or cited.
Machine-readable business information includes structured data on business websites and platform-managed business records. Public documentation does not establish one universal weighting for those inputs.
Pro Tip
Record the pages visibly cited for the exact prompt you tested. Use those pages as an audit trail, not as a permanent map of the engine's ranking system.
Next step
Is AI recommending your business?
Find out how visible you are across ChatGPT, Gemini, Perplexity, and AI Overviews.
Sources that matter for local businesses
Google Business Profile supplies business information to Google's local systems. Separate local search testing and citation studies have observed Bing-indexed pages, business websites, and third-party platforms such as Yelp, Foursquare, BBB, and local guides in ChatGPT answers. Those observations do not establish a fixed source hierarchy.
Review platforms like Yelp, Facebook, TripAdvisor, and industry-specific sites can appear in search results and citations. They provide customer-authored context, but the products do not publish a universal sentiment or review-ranking formula.
Your website can be retrieved when it is crawlable and relevant to the query. Clear service descriptions and accurate schema help machines interpret the page, but they do not guarantee a citation or recommendation.
Directory listings can supply business facts and appear in retrieved results. Keep relevant listings accurate, especially phone numbers, addresses, hours, URLs, and services.
News and press coverage may appear when it is relevant to the query. Earned coverage should be factual and useful, not created to simulate authority.
For a local operator, conflicting public facts create a customer problem and a source-audit target. If Bing-visible pages, Yelp, BBB, Apple Maps, and the company website disagree on service area or phone number, correct the sources customers and crawlers can reach. Do not claim that consistency alone causes a recommendation.
For the plumbing-specific version of this source map, read How Do Plumbing Companies Get Recommended by ChatGPT?.
What this means for your strategy
You can't control which sources a particular AI query uses. But you can ensure your business is well-represented across all the major sources.
Important
Maintain your Google Business Profile, then inspect the other sources that actually appear for your markets and prompts. Do not create or maintain a listing only because it appears in a generic platform checklist.
Earn reviews where customers use the platform. Keep relevant profiles accurate and follow each platform's solicitation policy. Do not manufacture a multi-platform review footprint for an assumed AI benefit.
Implement applicable schema markup. It should describe the visible page accurately and should not be treated as a recommendation guarantee.
Maintain business-information accuracy. Correct wrong or stale names, addresses, phone numbers, hours, URLs, and services. Harmless formatting differences are not the same as conflicting facts.
Keep information current. Update profiles and pages when hours, services, locations, contact paths, or policies change. Old data is not always worse than no data, but incorrect data can harm the customer journey.
Build a source stack. Your website should explain services and locations clearly. Your listings should match the same facts. Your reviews should show recent customer experience. Your schema should mark up the business in a machine-readable way. If you need the technical piece, see What Is JSON-LD?. If you need the review piece, see How Reviews Support AI Visibility for Local Businesses.
Important
You cannot control which source a query retrieves. You can keep the public sources you own or manage accurate, useful, and consistent with the real business.
Sources
- How Does ChatGPT Conduct Local Searches?. Search Engine Land's technical breakdown of ChatGPT's retrieval process
- ChatGPT Local Search Data Sources. Detailed analysis of where AI pulls business data
- Google Business Profile Help. Official resource for optimizing your GBP
- Google AI Search optimization guide. Google's guidance on crawlable, useful, structured content for AI Search
- Yext: AI Visibility in 2025. Cross-engine citation differences across Gemini, ChatGPT, and Perplexity
- Generative AI Statistics 2025. Similarweb's data on AI usage patterns
Dylan Allen-Arnegård is the CEO of Cheers, the local search platform for service businesses.