JSON-LD for AI Search: Complete Guide
JSON-LD is the preferred structured data format for helping AI search engines understand your content's type, authorship, relationships, and factual claims.
JSON-LD (JavaScript Object Notation for Linked Data) is the preferred structured data format for AI search engines, providing machine-readable context about content type, authorship, and relationships.
Why JSON-LD for AI Search
JSON-LD helps AI systems:
- Understand what type of content a page contains
- Identify the author and their credentials
- Parse relationships between entities
- Extract structured facts (prices, dates, specs)
- Verify content authority
Essential Schema Types
Article Schema
{
"@context": "https://schema.org",
"@type": "Article",
"headline": "What Is GEO?",
"author": {
"@type": "Organization",
"name": "Geodocs Team",
"url": "https://geodocs.dev"
},
"datePublished": "2025-04-25",
"dateModified": "2025-04-25",
"publisher": {
"@type": "Organization",
"name": "Geodocs.dev"
},
"description": "GEO is the practice of structuring content for AI citation."
}Organization Schema
{
"@context": "https://schema.org",
"@type": "Organization",
"name": "Your Organization",
"url": "https://yoursite.com",
"logo": "https://yoursite.com/logo.png",
"sameAs": [
"https://twitter.com/yourorg",
"https://linkedin.com/company/yourorg"
]
}HowTo Schema
{
"@context": "https://schema.org",
"@type": "HowTo",
"name": "How to Create llms.txt",
"step": [
{
"@type": "HowToStep",
"name": "Create the file",
"text": "Create a plain text file named llms.txt"
},
{
"@type": "HowToStep",
"name": "Add content",
"text": "Add your site name and key page URLs"
}
]
}Implementation Steps
- Identify page type — Article, Product, FAQ, HowTo, etc.
- Choose the schema — Match Schema.org type to content
- Write the JSON-LD — Include all required properties
- Add to page — Place in
<script type="application/ld+json"> - Validate — Test with Google Rich Results Test
- Monitor — Check Search Console for errors
Best Practices
| Practice | Why |
|---|---|
| Use specific types | Article > WebPage |
| Include dateModified | Freshness signal |
| Add author details | Authority signal |
| Link to sameAs profiles | Entity disambiguation |
| Keep consistent | Same schema across similar pages |
Common Mistakes
- Using generic WebPage — Use specific types (Article, HowTo, FAQ)
- Missing author — AI values attributed content
- No dateModified — AI needs freshness signals
- Inconsistent entities — Same organization name everywhere
- Invalid JSON — Always validate before deploying
Related Articles
- Structured Data for AI Search — Overview
- Schema.org for AI Search — Property reference
- FAQ Schema for AEO — FAQ implementation
Related Articles
FAQ Schema for AEO: Implementation Guide
Step-by-step guide to implementing FAQ schema markup that helps AI search engines extract and cite your answers.
Schema.org for AI Search: Property Reference
A reference guide to Schema.org properties that matter most for AI search visibility and content citation.
Structured Data for AI Search
How to implement structured data (JSON-LD / Schema.org) to improve AI search visibility. Covers TechArticle, FAQPage, HowTo, and entity definitions.