Schema.org for AI

How AI Uses Structured Data

When an AI model encounters a web page, it needs to answer basic questions: What is this page about? Is this a product, an article, a person, an organization? What are the key facts?

Without structured data, the AI has to infer these answers from the page's text content — a process that's error-prone and context-dependent. With schema.org JSON-LD, the answers are explicit and machine-readable. The AI doesn't have to guess that "$29.99" is a price — it's labeled as schema:price.

Which Types Matter Most

Schema.org has 800+ types, but AI models primarily use a small subset. Here are the types that have the most impact on AI readiness:

{
  "@type": "Article",
  "headline": "How to Configure robots.txt",
  "author": { "@type": "Person", "name": "Jane Doe" },
  "datePublished": "2025-01-15"
}

{
  "@type": "Organization",
  "name": "Acme Corp",
  "url": "https://acme.com",
  "logo": "https://acme.com/logo.png"
}

{
  "@type": "Product",
  "name": "Widget Pro",
  "offers": {
    "@type": "Offer",
    "price": "29.99",
    "priceCurrency": "USD"
  }
}

{
  "@type": "FAQPage",
  "mainEntity": [{
    "@type": "Question",
    "name": "What is llms.txt?",
    "acceptedAnswer": {
      "@type": "Answer",
      "text": "A standard for..."
    }
  }]
}

{
  "@type": "SoftwareApplication",
  "name": "w2agent",
  "applicationCategory": "DeveloperApplication",
  "operatingSystem": "Any"
}

{
  "@type": "BreadcrumbList",
  "itemListElement": [{
    "@type": "ListItem",
    "position": 1,
    "name": "Docs",
    "item": "https://example.com/docs"
  }]
}

Implementation: JSON-LD

Always use JSON-LD format (not Microdata or RDFa). JSON-LD is embedded in a <script type="application/ld+json"> tag in your page's head or body. It's easier to maintain, doesn't interleave with your HTML, and is the format recommended by Google and preferred by AI systems.

You can include multiple JSON-LD blocks on a single page — one for the Organization, one for the Article, one for BreadcrumbList. They're independent and don't need to reference each other.

What AI Actually Reads

Not all schema.org properties are equally useful to AI. Focus on these high-value properties:

• → name/headline: The primary identifier — what is this thing?
• → description: A concise summary AI can use directly in responses.
• → author/publisher: Attribution and credibility signals.
• → datePublished/Modified: Freshness — AI prefers recent content.
• → price/availability: For products — the facts users ask AI about.

Auto-Generate Structured Data

w2agent audits your existing structured data and generates missing schemas based on your page content. It detects page types (article, product, FAQ) and creates the appropriate JSON-LD.