Schema Markup

Schema Markup (also called structured data) is a standardized vocabulary of tags that you add to your HTML to help search engines and AI systems understand the context, meaning, and relationships within your content. It uses the Schema.org vocabulary and is typically implemented as JSON-LD.

Why Schema Matters for AI:

• Provides explicit context about content type and purpose
• Enables rich snippets and enhanced search results
• Helps AI systems extract accurate information
• Improves content trustworthiness signals

Key Schema Types for GEO:

Organization

Identifies your company, logo, social profiles, and contact information.

Article/BlogPosting

Marks up content with author, date, headline, and description.

FAQPage

Structures Q&A content for easy AI extraction.

HowTo

Outlines step-by-step instructions.

Product/SoftwareApplication

Describes products with features, pricing, and reviews.

Person

Identifies authors and their credentials.

BreadcrumbList

Shows site navigation hierarchy.

Implementation Example:

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

Proper schema implementation is a fundamental GEO best practice that helps AI systems accurately understand and cite your content.