Structured data has evolved dramatically since Schema.org launched in 2011. As AI transforms search, schema markup becomes even more critical. Here’s what’s coming and how to prepare.

Current State of Structured Data

What We Have Now

  • 800+ schema types on Schema.org
  • JSON-LD as the dominant format
  • Rich results for major content types
  • Direct integration with Google features
  • Voice assistant reliance on structured data

Adoption Rates

  • ~30% of websites use some structured data
  • E-commerce leads in adoption
  • Many still miss opportunities
  • Quality varies significantly

1. AI and Structured Data Integration

Large Language Models (LLMs) are changing how search works:

  • AI Overviews use structured data for sourcing
  • Chatbots reference schema for accurate answers
  • Knowledge graphs feed AI training
  • Structured data validates AI outputs

Implication: Sites with comprehensive schema become preferred AI sources.

2. More Interactive Rich Results

Google continues expanding rich result types:

  • Dynamic FAQ - More interactive Q&A experiences
  • Comparison tools - Side-by-side product comparisons
  • Calculator widgets - Embedded tools in results
  • Booking integration - Direct actions from search

As visual search grows:

  • Video clips in search results
  • Seekable chapters using schema
  • Image entity recognition via structured data
  • AR/VR metadata emerging

4. E-commerce Evolution

Product schema is getting more sophisticated:

  • Shipping details required for visibility
  • Return policies in structured data
  • Sustainability information emerging
  • Price drops and deal indicators
  • Local inventory integration

5. Author and Entity Recognition

Google’s focus on E-E-A-T drives:

  • Author knowledge panels from Person schema
  • Entity linking across platforms
  • Credential verification via schema
  • Expertise signals from structured data

New and Emerging Schema Types

Recently Added

  • SpecialAnnouncement - Emergency/event updates
  • VirtualLocation - Online event locations
  • Occupation - Job role descriptions
  • EducationalOccupationalProgram - Degree programs
  • LearningResource - Educational materials

Expected Developments

  • Sustainability/Environmental schemas
  • AI-generated content indicators
  • Accessibility structured data
  • Privacy/Trust signals
  • Carbon footprint for products

AI Overviews and Schema

Google’s AI Overviews (formerly SGE) change the game:

How AI Uses Schema

  1. Source identification - Schema helps AI attribute information
  2. Fact verification - Structured data validates claims
  3. Rich snippets in AI answers - Enhanced citations
  4. Knowledge extraction - Cleaner data for AI processing
{
  "@type": "Article",
  "headline": "Complete Guide to Topic",
  "author": {
    "@type": "Person",
    "name": "Expert Author",
    "hasCredential": {
      "@type": "EducationalOccupationalCredential",
      "name": "PhD in Subject"
    }
  },
  "reviewedBy": {
    "@type": "Person",
    "name": "Fact Checker"
  },
  "lastReviewed": "2025-01-15",
  "citation": [
    {
      "@type": "CreativeWork",
      "name": "Source Study",
      "url": "https://source.com/study"
    }
  ]
}

Voice and Conversational AI

  • Simple Q&A via FAQ schema
  • Local business information
  • Basic product queries

Future Voice Capabilities

  • Multi-turn conversations using connected entities
  • Complex queries answered via linked data
  • Personalized responses based on user context
  • Action completion (ordering, booking) via schema

Preparing Your Site

1. Expand Schema Coverage

Don’t just cover the basics. Implement:

  • All relevant page types
  • Author and organization details
  • Comprehensive product data
  • FAQ on key pages

2. Focus on Quality

  • Accurate, complete data
  • Match visible content
  • Regular updates
  • Proper validation

3. Build Entity Connections

{
  "@context": "https://schema.org",
  "@graph": [
    {
      "@type": "Organization",
      "@id": "https://example.com/#org",
      "name": "Company",
      "employee": [{"@id": "#author1"}]
    },
    {
      "@type": "Person",
      "@id": "#author1",
      "name": "Author Name",
      "worksFor": {"@id": "https://example.com/#org"}
    },
    {
      "@type": "Article",
      "author": {"@id": "#author1"},
      "publisher": {"@id": "https://example.com/#org"}
    }
  ]
}

4. Embrace New Properties

As Google adds requirements:

  • Shipping for products
  • Returns policies
  • Sustainability claims
  • Author credentials

5. Monitor Schema.org Updates

  • Follow Schema.org blog
  • Watch Google Search Central
  • Test new schema types early
  • Update existing implementations

Challenges Ahead

Data Accuracy at Scale

As AI relies more on structured data, accuracy becomes critical. Wrong information spreads faster.

Spam and Manipulation

Bad actors will try to game AI with fake schema. Expect stricter validation.

Privacy Concerns

More detailed schema raises privacy questions. Balance detail with discretion.

Technical Complexity

Schema is getting more complex. Tools and automation become essential.

Action Items for 2025

Immediate

  1. Audit current schema - Validate and fix errors
  2. Expand coverage - Add schema to all page types
  3. Author attribution - Implement Person schema

Medium Term

  1. E-commerce updates - Add shipping, returns
  2. Video optimization - Implement VideoObject fully
  3. Local enhancement - Complete local business data

Long Term

  1. Entity strategy - Build connected knowledge graph
  2. AI preparation - Ensure data supports AI extraction
  3. New types - Adopt relevant new schema

Generate Future-Ready Schema

Start building comprehensive structured data now with our JSON-LD Schema Generator:

Conclusion

Structured data is becoming more important, not less. As AI transforms search, websites with comprehensive, accurate schema markup will have significant advantages.

Start now with fundamental schema types and expand systematically. Focus on accuracy and completeness. Stay informed about new developments and be ready to adopt emerging standards.

The future of search is structured, connected, and AI-powered. Make sure your data is ready.


Need help preparing your site for the future of search? I can help you develop a structured data strategy that positions you for success. Get in touch for a consultation.