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
AI systems synthesize information from multiple sources: review platforms, business directories, websites, news articles, and structured data feeds. They are not pulling from one single database. They aggregate signals from across the web and from the search systems connected to the product.
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.
The longer answer
Modern AI assistants use a combination of training data and real-time retrieval. Here's how it works:
Training data includes vast amounts of web content that the model learned from during its initial development. This creates baseline knowledge about businesses, but it can be outdated.
Retrieval systems pull fresh information at query time. When you ask about local businesses, the AI often searches the web and integrates current data into its response.
Structured data sources include Google's Knowledge Graph for Google products, directory databases, business websites with schema markup, and similar machine-readable business information.
Pro Tip
The exact mix varies by AI system and query type. But the principle is consistent: AI recommendations are based on aggregated signals from multiple sources.
Sources that matter for local businesses
Google Business Profile matters, but differently for each AI. Your GBP information (name, address, hours, categories) feeds Google's local systems. ChatGPT appears to rely more on Bing-indexed web pages, business websites, and third-party platforms like Yelp, Foursquare, BBB, and local guides, based on local search testing and citation studies.
Review platforms like Yelp, Facebook, TripAdvisor, and industry-specific sites all contribute. AI systems read reviews at scale, analyzing sentiment and extracting signals about quality.
Your website matters if it's crawlable and well-structured. AI systems that do web retrieval will pull information from your site, especially if you have clear service descriptions and schema markup.
Directory listings and citations across the web help establish your business as a recognized entity. Consistent presence across multiple directories signals legitimacy.
News and press coverage can influence AI's perception of your authority, especially for larger businesses or notable achievements.
For a local operator, the risk shows up quickly. A garage door company may have a strong Google profile, but if Bing, Yelp, BBB, Apple Maps, and the company website disagree on service area or phone number, ChatGPT-style retrieval has weaker evidence. A med spa with detailed treatment pages, consistent listings, and fresh reviews across multiple platforms gives the system more corroboration.
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
Claim and optimize your Google Business Profile, but do not stop there. For AI visibility, your website, Bing-visible pages, Yelp, BBB, Facebook, Apple Maps, Foursquare, and vertical directories all matter.
Build reviews across platforms. Don't just focus on Google. Yelp, Facebook, and industry directories all feed the AI ecosystem.
Implement schema markup. This makes your website a reliable structured data source that AI can parse confidently.
Maintain citation consistency. Make sure your NAP data is identical everywhere. Inconsistencies create confusion.
Keep information current. Old data is worse than no data. Update your profiles, respond to reviews, and keep your website fresh.
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 Reviews That Move AI Rankings.
"The businesses that dominate AI recommendations are the ones with strong signals across all these sources. The AI isn't looking at any single platform. It's synthesizing everything."
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.