AI Web Glossary
Definitions for key terms in the AI Web ecosystem: llms.txt, AI sitemaps, AI endpoints, schema markup, structured data, knowledge graphs, and more.
A
- AI Endpoint
- A JSON file served at a predictable URL on a website that gives AI systems direct, machine-readable access to site identity, content catalog, or operational data.
- AI Search Visibility
- The degree to which a website is discoverable, understandable, and citable by AI answer engines such as ChatGPT, Perplexity, Gemini, Claude, and Grok.
- AI Sitemap
- A structured JSON file that gives AI systems a machine-readable index of a website's content, organized by type, topic, and priority. Goes beyond the standard XML sitemap.
- AI Web
- The machine-readable publishing layer of the internet, built so AI agents can understand, cite, and navigate websites without human intermediaries.
- AI-Ready Website
- A website that implements machine-readable architecture, AI endpoints, schema markup, and trust signals that allow AI systems to understand, cite, and interact with its content.
J
- JSON-LD
- JSON for Linked Data. A structured data format using JSON syntax that embeds schema.org markup in web pages. The preferred format for schema markup implementation.
K
- Knowledge Graph
- A structured network of entities, concepts, and their relationships. AI systems use knowledge graphs to understand how topics, people, places, and organizations relate to each other.
L
- llms.txt
- A plain-text file placed at a website's root that tells AI language models what the site is about, what content is most important, and how to understand the site's structure.
S
- Schema Markup
- Structured data embedded in web pages using JSON-LD (or other formats) that tells AI systems and search engines what type of content a page contains and how it relates to other entities.
- Structured Data
- Machine-readable data embedded in or associated with web content that explicitly labels its meaning, type, and relationships for AI systems and search engines.