Schema Markup

Schema markup helps AI systems understand your content's structure and meaning. It's one of the most impactful technical optimizations for AI visibility.

Why Schema Matters for AI

• Helps AI understand content context
• Enables accurate information extraction
• Verifies facts and relationships
• Establishes content type and purpose

Essential Schema Types

Organization Schema

{
  "@context": "https://schema.org",
  "@type": "Organization",
  "name": "Your Company",
  "url": "https://yourcompany.com",
  "logo": "https://yourcompany.com/logo.png",
  "description": "Your company description"
}

Article Schema

{
  "@context": "https://schema.org",
  "@type": "Article",
  "headline": "Article Title",
  "datePublished": "2026-01-20",
  "author": {
    "@type": "Person",
    "name": "Author Name"
  }
}

FAQPage Schema

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

Using Prominara's Generator

1. Run an audit on your page
2. Navigate to the "Schema" tab
3. Review the auto-generated markup
4. Copy and add to your page's head section

Validation

Test your schema implementation with Google's Rich Results Test to ensure it's properly formatted and recognized.