Why Schema Matters for LLMs

LLMs process millions of documents. Schema provides:

• Explicit structure: Clear boundaries and relationships
• Entity resolution: Defined identity for brands and authors
• Factual grounding: Verified data for AI synthesis
• Efficient processing: Faster than parsing unstructured HTML

Content with proper schema is significantly more likely to be accurately retrieved and cited.

Essential Schema Types

Organization Schema

The foundation for brand entity:

{
  "@context": "https://schema.org",
  "@type": "Organization",
  "@id": "https://yourdomain.com/#organization",
  "name": "Your Brand Name",
  "alternateName": ["Brand", "BrandName"],
  "url": "https://yourdomain.com",
  "logo": {
    "@type": "ImageObject",
    "url": "https://yourdomain.com/logo.png"
  },
  "sameAs": [
    "https://linkedin.com/company/yourbrand",
    "https://github.com/yourbrand"
  ],
  "contactPoint": {
    "@type": "ContactPoint",
    "email": "contact@yourdomain.com"
  }
}

Person Schema (Author)

For E-E-A-T signals:

{
  "@context": "https://schema.org",
  "@type": "Person",
  "@id": "https://yourdomain.com/authors/jane-doe#person",
  "name": "Jane Doe",
  "jobTitle": "SEO Director",
  "url": "https://yourdomain.com/authors/jane-doe",
  "sameAs": [
    "https://linkedin.com/in/janedoe",
    "https://twitter.com/janedoe"
  ],
  "worksFor": {"@id": "https://yourdomain.com/#organization"}
}

Article Schema

{
  "@context": "https://schema.org",
  "@type": "Article",
  "headline": "Article Title",
  "author": {"@id": "https://yourdomain.com/authors/jane-doe#person"},
  "publisher": {"@id": "https://yourdomain.com/#organization"},
  "datePublished": "2026-04-19",
  "dateModified": "2026-04-19",
  "about": [
    {"@type": "Thing", "name": "Topic", "sameAs": "https://en.wikipedia.org/wiki/Topic"}
  ]
}

FAQPage Schema

For direct answer extraction:

{
  "@context": "https://schema.org",
  "@type": "FAQPage",
  "mainEntity": [
    {
      "@type": "Question",
      "name": "What is GEO?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "GEO stands for Generative Engine Optimization..."
      }
    }
  ]
}

Advanced Techniques

The @graph Pattern

Connect multiple entities in one script:

{
  "@context": "https://schema.org",
  "@graph": [
    {Organization object},
    {Person object},
    {Article object}
  ]
}

Entity Linking with sameAs

Connect to knowledge graphs:

• Wikipedia URLs for concepts
• Wikidata entity IDs
• Verified social profiles
• Industry directory listings

about and mentions Properties

Explicit topic declaration:

"about": [
  {
    "@type": "Thing",
    "name": "Search Engine Optimization",
    "sameAs": "https://en.wikipedia.org/wiki/Search_engine_optimization"
  }
]

Common Implementation Errors

• Missing @id: Without identifiers, entities can't be linked
• Orphan authors: Person schema not linked to Organization
• Stale dates: dateModified not updated with content changes
• Invalid sameAs: Links to profiles that don't exist or aren't verified
• Schema-HTML mismatch: Schema says one thing, visible content another

Validation and Testing

Before deploying:

• Schema Markup Validator
• Google Rich Results Test
• Check for JavaScript errors in console

Use our GEO audit for comprehensive schema analysis.