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What structured data markup helps with AI citation?

Why This Matters in 2026 Structured data (schema markup) is machine-readable information embedded in your HTML that tells AI engines exactly what your content is — not just what it says, but what type of information it represents. A page with proper schema markup is dramatically easier for AI to parse and cite than a page without it. For local businesses, several schema types are particularly high-impact for GEO.

Schema markup is JSON-LD code added to your pages that explicitly labels your content. Instead of leaving AI engines to infer what type of content is on the page, schema markup tells them directly: "this is a FAQ section," "this is a local business," "this is a review." That clarity translates directly to higher citation rates. Here are the schema types that matter most for local business GEO.

LocalBusiness schema (homepage priority)

LocalBusiness schema on your homepage gives AI engines a structured, reliable data source for your core business information: name, address, phone, hours of operation, service area, price range, and business type. This is the foundation. If AI is going to name you in response to "[service] in [city]," it needs to be confident your business information is correct. LocalBusiness schema makes that data machine-readable and unambiguous.

Key fields to include: name, address, telephone, openingHours, areaServed, priceRange, @type (use the most specific subtype available — Plumber, Electrician, AutoRepair, etc.).

FAQPage schema (service pages and FAQ pages)

FAQPage schema explicitly marks up question-and-answer content so AI engines know exactly where your Q&A pairs are. Add this to every service page with a FAQ section and any standalone FAQ page. This is among the highest-value schema implementations for GEO — it directly labels the content type that AI engines most frequently extract and cite.

Article / BlogPosting schema (blog and guide content)

For blog posts and educational guides, Article or BlogPosting schema marks up your authorship, publication date, and content type. AI engines use publication dates to assess content recency and freshness. Including this schema helps your guides get cited for queries where content currency matters.

Review / AggregateRating schema

If you have permission to display customer reviews on your site, marking them up with Review and AggregateRating schema makes your social proof machine-readable. AI engines can extract your average rating, review count, and individual review text as structured data — making it easier to include this information in recommendations.

Service schema

Service schema explicitly describes each service you offer, including service name, description, price range, and service area. Add this to each individual service page. It helps AI distinguish between your different offerings and match them to specific service queries.

How to implement schema markup

Pro Tip Implement schema in this priority order: (1) LocalBusiness on your homepage, (2) FAQPage on every service page with a FAQ section, (3) Article schema on blog posts, (4) Service schema on individual service pages. That sequence covers 80% of the GEO schema value in the time it takes to do #1 and #2.

Key Takeaways

  • Structured data markup makes your content machine-readable — AI engines can parse and cite labeled content much more reliably
  • LocalBusiness schema on your homepage is the foundation — it gives AI a reliable source for your core business data
  • FAQPage schema on every service page FAQ section is among the highest-value GEO schema implementations
  • Article schema helps blog posts get cited for queries where content recency matters
  • Implement and validate with Google's Rich Results Test — confirm it's being read before assuming it's working

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