Install AI References
Add AI reference tags to your website's head section to enable AI crawler discovery.
This is the most important setup step — it tells AI crawlers where to find your Geordy-generated files.
What Are AI References?
AI References are two small code blocks that go inside your website's <head> tag that tell AI crawlers where to find your Geordy-generated files:
- A link-rel block (HTML tags referencing each generated format)
- A JSON-LD manifest (structured dataset description)
Once added, Geordy automatically keeps them current as your site evolves.
Install via HTML Head
Open Install → Tags (HTML)
Copy the Link Tags
Paste into Your Website's <head>
Save and Publish
Example Link-Rel Block
<!-- Geordy AI References (homepage example) -->
<link rel="alternate" type="text/plain" href="https://ai.yourdomain.com/llms.txt" />
<link rel="alternate" type="text/plain" href="https://ai.yourdomain.com/humans.txt" />
<link rel="alternate" type="text/markdown" href="https://ai.yourdomain.com/index.md" />
<link rel="alternate" type="application/ld+json" href="https://ai.yourdomain.com/index.schema.json" />
<link rel="alternate" type="text/yaml" href="https://ai.yourdomain.com/index.yaml" />
<link rel="alternate" type="application/json" href="https://ai.yourdomain.com/index.og.json" />
<link rel="alternate" type="application/rss+xml" href="https://ai.yourdomain.com/index.xml" />
<link rel="manifest" href="https://ai.yourdomain.com/index.manifest.json" />
<!-- End Geordy AI References -->Verification
- View your site's source code and confirm the link-rel tags appear
- Visit one of the referenced URLs (e.g.
/llms.txt) — it should open successfully
For WordPress, Webflow, or Squarespace users, see Platform-Specific Guides.
Link-rel Tags Reference
Copy and paste these tags into your HTML <head> section
Install via JSON-LD Manifest
Open Install → JSON-LD
Copy the Manifest Script
Paste into Your Website's <head>
Save and Publish
This manifest describes your entire dataset using @context and hasPart fields from Schema.org, giving AI systems a structured entry point.
Example JSON-LD Manifest
{
"@context": "https://schema.org",
"@type": "Dataset",
"name": "yourdomain.com Structured Data",
"description": "AI-optimized structured content for yourdomain.com",
"url": "https://ai.yourdomain.com",
"hasPart": [
{
"@type": "DataDownload",
"encodingFormat": "text/plain",
"contentUrl": "https://ai.yourdomain.com/llms.txt"
},
{
"@type": "DataDownload",
"encodingFormat": "text/markdown",
"contentUrl": "https://ai.yourdomain.com/index.md"
},
{
"@type": "DataDownload",
"encodingFormat": "application/ld+json",
"contentUrl": "https://ai.yourdomain.com/index.schema.json"
},
{
"@type": "DataDownload",
"encodingFormat": "text/yaml",
"contentUrl": "https://ai.yourdomain.com/index.yaml"
}
]
}Verification
Use your browser's "View Source" and search for @type: Dataset to confirm the manifest is live. You can also use validation tools to verify the JSON-LD structure.
JSON-LD Schema Structure
{
"@context": "https://schema.org",
"@type": "Article",
"headline": "What is GEO?",
"author": {
"@type": "Person",
"name": "Geordy Team"
},
"datePublished": "2025-10-01"
}