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JSON-LD for AI Search: Speaking the Language of LLMs

JSON-LD for AI Search

You can write the best content in the world, but if an AI crawler parses it as unstructured noise, you lose.

Large Language Models (LLMs) crave structure. When GPTBot scrapes a page, it has to expend computational energy to figure out what is a header, what is a price, and what is a review.

JSON-LD (JavaScript Object Notation for Linked Data) is the cheat code. It allows you to spoon-feed the AI exact data points in a format it understands natively.

The "Context Window" Economy

Tokens are expensive. If an AI has to read 1,000 words to find your "Author Name," it might skip it. If you provide it in JSON-LD, it takes 10 tokens.

Higher Efficiency = Higher Citation Probability.

3 Must-Have Schemas for 2026

1. The FAQ Schema (The Citation Magnet)

This is the #1 way to get cited in "Direct Answer" results. Format your definitions clearly.

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "FAQPage",
  "mainEntity": [{
    "@type": "Question",
    "name": "What is GEO?",
    "acceptedAnswer": {
      "@type": "Answer",
      "text": "Generative Engine Optimization (GEO) is the practice of optimizing content for AI search engines."
    }
  }]
}
</script>

2. The Entity Schema (Organization/Person)

Define who you are so the AI stops hallucinating your background. Link to your "SameAs" profiles (LinkedIn, Crunchbase).

{
  "@context": "https://schema.org",
  "@type": "Organization",
  "name": "ViaMetric",
  "url": "https://viametric.app",
  "sameAs": [
    "https://twitter.com/viametric",
    "https://linkedin.com/company/viametric"
  ]
}

3. The SoftwareApplication Schema (For SaaS)

If you sell software, tell the AI exactly what it does, its price, and its operating system.

{
  "@type": "SoftwareApplication",
  "name": "ViaMetric",
  "applicationCategory": "BusinessApplication",
  "operatingSystem": "Web",
  "offers": {
    "@type": "Offer",
    "price": "0",
    "priceCurrency": "USD"
  }
}

How to Test Your Implementation

Don't guess. Validate.

  1. Google Rich Results Test: Good effective baseline.
  2. ViaMetric LLM Simulator: Checks if the schema is actually readable by AI bots.

Pro Tip: Dynamic JSON-LD injection (using JavaScript) works for Googlebot, but some smaller AI scrapers prefer static JSON-LD rendered on the server. Always prefer Server-Side Rendering (SSR) for your Schema.

Need to validate your schema? Use our Structured Data Checker.

Frequently Asked Questions

Why is JSON-LD important for AI?
LLMs are probabilistic. They guess the meaning of text. JSON-LD is deterministic. It tells the AI explicitly 'This is a Price' or 'This is an Author', reducing hallucination and increasing citation probability.
Which Schema types matter for GEO?
The most impactful types are `Article` (for blog posts), `FAQPage` (for direct answers), `SoftwareApplication` (SaaS), and `Person/Organization` (for Entity Graph).
Where do I put the JSON-LD code?
It goes inside a `<script type='application/ld+json'>` tag in the `<head>` or `<body>` of your HTML page.