About
An open standard for making websites readable by AI. Created by CAPXEL. Free to implement. Free to join.
Why LLM-LD Exists
Search is changing. AI systems — ChatGPT, Gemini, Perplexity, Claude — are becoming the way people find information, choose businesses, and make decisions. But these systems can't reliably understand most websites.
Traditional SEO was built for Google's index. It optimizes for keywords and links. AI systems need something different: structured, machine-readable data that tells them exactly what a business does, who it serves, where it operates, and how to take action.
LLM-LD bridges that gap. It's a standard that gives any website a machine-readable AI layer — structured data that AI systems can consume, understand, and use to recommend your business in the right context.
Principles
Open Standard
The spec is published under CC BY 4.0. Anyone can read it, implement it, extend it, or build tools for it. No permission needed.
Free Forever
No licensing fees to implement. No subscription to join the network. No premium tiers. The standard is free. The network is free.
Defense in Depth
Three independent layers that each work on their own. Even if no AI platform ever formally adopts the standard, your site is still more AI-readable than any competitor's.
Built from Practice
Every part of LLM-LD was developed through real implementations across real client sites. The spec documents what works — it doesn't theorize.
Timeline
Problem Identified
CAPXEL begins working with clients on AI search visibility. Discovers that no standard exists for structuring website data for LLMs. Begins developing internal frameworks.
First Implementations
Framework tested across first wave of client sites. The three-layer architecture — Schema.org injections, knowledge graph files, llm-index.json — proves effective in real AI search results.
First Discovery Network Launches
Early discovery network goes live. First batch of sites joins the master sitemap. The "find one, discover all" model begins working in practice.
LLM-LD 1.0 Published + LLM Disco goes live
The standard is formalized and published at llmld.org. Spec, guides, and examples made publicly available. 100+ sites in the network. Open for adoption.
Who Builds This
LLM-LD and the LLM Disco Network are created and maintained by CAPXEL, an AI data company specializing in AI audience targeting and AI search optimization (ASO).
CAPXEL develops the standard, operates the network, and implements LLM-LD for clients. The standard is open because a standard only works if anyone can use it. The network is free because a network only works if people join it.
There is no foundation, consortium, or committee. CAPXEL builds it, ships it, and iterates based on real-world implementation experience across the network. If adoption grows to warrant governance changes, that structure will be built — but only when it's needed, not before.
LLM-LD 1.0
The full standard. Data model, properties, conformance levels, and verification requirements.
LLM Disco
The discovery network. Browse member sites, submit yours, or explore the directory.
CAPXEL
The agency behind the standard. AI search optimization for businesses and agencies.
Implementation Guides
Everything you need to implement LLM-LD, from quick starts to deep dives on the architecture.
Get in Touch
Questions about the standard, the network, or implementation? We'd love to hear from you.