Guide
Everything you need to understand LLM-LD, implement it on your site, and join the discovery network.
How It Works
Learn the concepts behind LLM-LD before you implement. Start here if you're evaluating the standard or explaining it to someone else.
What is LLM-LD? Start Here→
The 2-minute overview. What LLM-LD is, why it exists, how it relates to SEO and JSON-LD, and why your business needs it. This is the page you send to someone who asks "why should I care?"
The Three Layer Architecture →
How the three independent layers — Schema.org injections, knowledge graph files, and llm-index.json — work on their own and together. Defense in depth: even if Layer 3 never gets platform adoption, Layers 1 and 2 still make your site the most AI-readable in your market.
How the Discovery Network Works →
The node-and-network model that makes LLM-LD more than a file format. How every site in the network links to the directory, how crawlers traverse the graph, and why discovering one site means discovering all of them. The infrastructure that turns a standard into a network effect.
Find One. Discover All.
Every site in the LLM Disco Network carries an AI Discovery Page that links to the central directory. When a crawler reaches any single node, it follows the links and discovers the entire network.
Build It
Step-by-step guides for implementing each part of the LLM-LD stack on your site.
Quick Start — 5 Minutes Essential→
The fastest path from zero to AI-ready. Create a minimal llm-index.json, deploy it, and submit your site to the network. One file, three steps, done.
The llm-index.json File →
Property-by-property reference for the core LLM-LD file. Every field, what it does, when to use it, and complete examples for local businesses, SaaS companies, and e-commerce.
Setting Up Your AI Subdomain →
How to create the ai.yoursite.com subdomain — mirror your content, inject Schema.org markup, configure DNS, and set up the AI-optimized version of every page. This is Layer 1.
Building an AI Discovery Page →
The bridge between your main site and the AI layer. Copy-paste HTML template, required structured data, and how to connect your site to the network through a single page.
Configuring robots.txt for AI →
The exact directives to copy-paste. Which AI crawlers to allow, how to block your main site while exposing your AI layer, and the complete user-agent list you need.
Conformance Levels →
Checklists for Level 1 (Crawl-Ready), Level 2 (Ingest-Ready), and Level 3 (Agent-Ready). Know exactly where you are and what to add next.
Get Discovered
A standard without discovery is a document. Here's how you become part of the network.
Joining the LLM Disco Network →
What happens when you submit your site. The verification process, what gets added to the directory, and how AI crawlers find you after that. Free. No approval process for compliant sites.
Getting Verified →
What verification means as a trust signal for AI systems. How the network validates your llm-index.json and adds your site to the discovery graph.
Roll Out at Scale
Implementing LLM-LD across multiple client sites? Start here.
Reference
LLM-LD 1.0 Specification →
The full formal specification. Conformance requirements, data model, properties, and normative language.
ADP 1.0 Specification →
The AI Discovery Page companion specification. How to build the bridge page that connects your main site to the AI layer.
Validator Tool Coming Soon→
Paste your llm-index.json or enter a URL. Checks valid JSON, required properties, and tells you your conformance level.