When ChatGPT recommends a plumber or Gemini suggests a restaurant, where does that information come from? Understanding the answer helps you optimize for it.
The short answer
AI systems synthesize information from multiple sources: review platforms, business directories, websites, news articles, and structured data feeds. They're not pulling from a single database. They're aggregating signals from across the web.
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 This creates baseline knowledge about businesses, but it can be outdated.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, Yelp's API, and similar platforms that provide 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 is a major data source. Your GBP information—name, address, hours, reviews, photos—feeds into Google's Knowledge Graph, which many AI systems reference.
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.
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. This is the single most important source for local business data.
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.
"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."
Further Reading
- 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
- Generative AI Statistics 2025 — Similarweb's data on AI usage patterns
Dylan Allen is the CEO of Cheers, the GEO platform for local service businesses.