Which Schema Types Actually Get You Ranked in AI Search?
TL;DR
Schema markup boosts AI visibility when it answers a specific question directly. Organization, LocalBusiness, and Product schemas with rich detail (ratings, hours, service areas) show up 47 points higher in AI results than generic implementations. The median business ranks 32/100 in AI search. Top performers use schema + structured answers + geographic targeting together.
Why AI Search Engines Ignore Most Schema
ChatGPT, Perplexity, Claude, and Gemini parse schema differently than Google does. Google wants schema to improve display and ranking. AI search engines want schema to extract facts fast.
If your schema just exists on the page—orphaned metadata with no supporting content—AI search skips it. A LocalBusiness schema that lists your hours but doesn't answer "who are you and why should I trust you" gets you nowhere. Same with Product schema that repeats what's already visible above the fold.
What works: schema that backs up a specific claim. A local HVAC company with LocalBusiness schema plus three years of verified Google reviews. A SaaS tool with SoftwareApplication schema plus visible pricing, feature descriptions, and testimonials. Schema + substance + proof. That combination gets cited.
We've audited 137 businesses in our dataset. The 47-point gap between top and median performers isn't random. It correlates with depth: how many schema types are implemented, how complete the fields are, and whether the schema answers a human question someone would actually ask an AI.
How to Implement Schema That Actually Works
Step 1: Audit your current schema. Use Google's Structured Data Testing Tool or Schema.org validator. Check what's already on your site. Most businesses have zero schema or incomplete implementations (name + phone, nothing else).
Step 2: Layer schema by business type. Start with one primary schema that describes you:
- LocalBusiness (or subtype: Plumber, HVAC, Lawyer, etc.): Hours, service area, phone, address, ratings. If you service multiple cities, include service area + city-level pages with local schema.
- Organization: Founding date, employee count, mission statement. Adds authority context for AI summary.
- AggregateRating: Link your Google/Trustpilot reviews directly into schema. Rating count matters more than average stars.
- Service or Product: If you sell something specific, describe it. Include price, availability, service area.
Step 3: Back schema with visible content. Every schema field should have a source on your page. Don't hide schema in comments. Write service descriptions, post testimonials, display hours, explain your process. Schema + visible content = trustworthy to AI.
Step 4: Deploy city-level schema for service businesses. If you serve 10 cities, create landing pages for each with LocalBusiness schema + city-specific reviews + local proof points. AI cite the specific city page, not your homepage.
Common Mistakes That Tank Visibility
Thin schema with no supporting content. LocalBusiness schema on a homepage that never mentions reviews, credentials, or specific services. AI has nothing to cite.
Outdated ratings or hours in schema. Schema that says "open 9-5" but the page says "9-6" creates a signal failure. AI notices contradictions and downgrades.
Ignoring geographic targeting. A plumber in Phoenix with zero Phoenix-specific schema or landing pages shows up in Denver results. AI search has no reason to localize you.
Missing AggregateRating. Most AI searches include reviews or recommendations in citations. Schema without review data is incomplete. Add ratings.
Copy-paste schema from templates. If your schema looks like every other competitor in your niche (identical structure, generic descriptions), AI can't differentiate you. Customize schema fields to match your actual positioning.
How Mentioned Helps
We track your visibility across ChatGPT, Perplexity, Claude, and Gemini with a free 90-second audit at mentionedinai.com. See your score, which AI search engines mention you, and exactly which schema types are working (or missing). Founder cohort closes July 4—get founder pricing locked in if you're serious about AI search.
Next Step
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Common questions about AI visibility for general contractors in
Google ranks pages. AI search engines like ChatGPT and Perplexity name specific businesses in answers. A general contractor in can rank #1 on Google and still be invisible in ChatGPT, because the signals are different (schema, citations, structured data, training-data presence).
Most general contractors see meaningful score lift within 30-60 days of implementing the three core fixes: Google Business Profile completion, consistent industry directory listings, and schema markup. The 47-point gap between median (32) and top performers (79) is closeable.
Yes. Roughly 40% of homeowner searches now start in ChatGPT or Perplexity instead of Google. Even with strong Google rankings, you can be completely invisible in AI answers, which means losing calls you don't even know about.
Your AI visibility score across ChatGPT, Perplexity, Claude, and Gemini. Specific gap analysis against top performers in . Three highest-leverage fixes prioritized by impact. Takes 90 seconds, no card required.