When someone types "find me a good plumber in Phoenix" into ChatGPT, something different happens than when they search Google. ChatGPT doesn't fetch a live list of businesses. It draws on everything it was trained on: business listings, review data, local directories, and web content, and synthesizes a recommendation from that knowledge.
The business that gets recommended is rarely the one with the biggest ad budget. It's the one with the most complete, consistent, and trustworthy data footprint across the web.
What signals does AI use to recommend a contractor?
Based on research into how large language models form local business recommendations, five signals matter most.
1. Review volume and recency
AI models weight businesses with many recent, specific reviews. A business with 400 reviews from the last two years ranks dramatically higher in AI recommendations than one with 400 reviews from three years ago. The content of reviews also matters: reviews that mention specific services, locations, and outcomes give the model more signal to work with.
2. Consistent business information across directories
If your business name, address, and phone number differ between Yelp, Google, and your website, AI models treat that as a trust signal issue. Businesses with consistent NAP (Name, Address, Phone) across 20+ directories are far more likely to be confidently recommended. Inconsistency creates ambiguity, and AI avoids recommending ambiguous results.
3. Specificity of services offered
Generic descriptions like "plumbing services" don't help AI match you to specific queries. A business described as offering "emergency water heater replacement, drain cleaning, sewer line repair, and bathroom remodels in the Phoenix metro area" will be recommended for far more specific queries than one described simply as a plumber.
4. Owner-verified information
Claimed Google Business Profiles, verified Yelp listings, and BBB accreditation all signal that a human who owns the business has confirmed the information. AI models treat owner-verified data as more reliable than scraped or inferred data. Claiming your listings on every major platform is one of the highest-ROI things a local business can do for AI visibility.
5. Structured data on your website
Schema markup (LocalBusiness, Service, Review) on your website tells AI crawlers exactly what your business does, where it operates, and how it's rated. Websites with proper schema markup are indexed more accurately and recommended with higher confidence by AI systems.
What does an AI-recommended contractor profile look like?
The typical contractor recommended by ChatGPT or Claude has: 200+ Google reviews (4.4+ average), a claimed and active Google Business Profile, consistent business info across Yelp, BBB, Angi, and HomeAdvisor, a website with specific service descriptions and LocalBusiness schema, and at least one mention in a local publication or directory that references their work.
How to check your AI visibility score
Operator scores every local business across all five of these signals and shows you exactly where you stand relative to competitors in your city. The audit is free and takes 30 seconds.