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. Open the schema finding in the site Overview tab. It shows the JSON-LD block for this page, pre-filled with what the scan already read — title, author, headings, URL path
3. Copy the snippet straight from the finding, or click Generate schema to open the full generator
4. Replace every placeholder with the real value, then add the block before </head> on your page
5. Validate at validator.schema.org and request re-indexing in Search Console

Validation

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