Seenos.ai

Schema Markup for AI Search: Complete Guide 2026

Schema markup implementation for AI search

Schema markup for AI search helps AI engines understand your content structure, improving citation accuracy and visibility. Key schema types for GEO: Article, Product, FAQ, HowTo, Organization, and Person. Implementation via JSON-LD is preferred by all major AI engines. Schema markup provides structured data that AI can parse directly, rather than inferring meaning from unstructured text. According to Search Engine Land, pages with comprehensive schema markup see 28% higher AI citation rates than those without.

Key Takeaways

  • JSON-LD format preferred by all AI engines
  • Article schema essential for blog/news content
  • Product schema critical for e-commerce
  • FAQ schema helps with question-answer visibility
  • Validate with Google Rich Results Test

Essential Schema Types for AI #

Content Schema

  • Article
  • BlogPosting
  • NewsArticle
  • HowTo
  • FAQ

Entity Schema

  • Organization
  • Person
  • Product
  • LocalBusiness
  • Event

Article Schema Implementation #

Essential properties for Article schema:

  • headline: Article title
  • author: Person or Organization
  • datePublished: Publication date
  • dateModified: Last update date
  • publisher: Organization
  • image: Featured image
  • description: Article summary

FAQ Schema for AI #

FAQ schema is particularly valuable for AI search:

  • AI engines often cite FAQ content directly
  • Question-answer format matches AI query patterns
  • Can appear in rich results and AI responses
  • Include 3-10 relevant questions per page

Validation and Testing #

  • 1Google Rich Results Test: Validate schema syntax
  • 2Schema.org Validator: Check against schema.org specs
  • 3Manual testing: Query AI engines to verify understanding

Best Practices #

  • Use JSON-LD: Preferred format for all engines
  • Be comprehensive: Include all relevant properties
  • Stay accurate: Schema must match visible content
  • Update dateModified: Signal freshness to AI
  • Nest appropriately: Use proper schema relationships

Limitations #

  • No guarantees: Schema improves understanding, not guaranteed citations
  • Content still matters: Schema amplifies good content
  • Evolving standards: Schema.org updates regularly

Conclusion #

Schema markup is foundational for technical GEO. Implement Article, FAQ, and relevant entity schemas using JSON-LD format. Validate with Google's tools and test with AI engines. Schema helps AI understand your content structure, improving citation accuracy and visibility.

Check Your Schema Implementation

GEO-Lens analyzes schema markup as part of technical GEO scoring.

Try GEO-Lens Free