Library Section

AI Ready Websites

How to structure pages, data, and public files so AI systems can understand what your site covers and how it fits together.

What This Covers

Core publishing priorities

  • Stable URLs, clean taxonomy, and visible data matter.
  • Public endpoint files work best when they match the same source data as the HTML pages.
  • A content model is more durable than page-by-page improvisation.

Articles

Long-form explanations

Article

What Is an AI Ready Website?

An AI-ready website is not just a website with AI-generated copy. It is a site whose structure, content model, and public data make its identity legible to machines.

June 16, 2026 ... 6 min read

Article

What Is llm.json?

llm.json is a machine-readable summary layer. It should tell an AI system what the site covers, what matters most, and where the strongest pages live.

June 14, 2026 ... 4 min read

Article

Glossary Pages Create Definition Control

Glossary pages help define the language of your market in your own words, which improves clarity for both readers and retrieval systems.

June 9, 2026 ... 4 min read

Services

How this section turns into implementation work

AI Website Audit

Audit the structure, crawl signals, data exposure, schema, and content model so the site can be understood by both human search and AI retrieval systems.

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AI Endpoint Setup

Plan and implement public machine-readable files such as llm.json, LLM.txt, AI sitemaps, and related index layers that match the site's source data.

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Schema and Content Modeling

Design page schemas, glossary schemas, directory schemas, and shared fields so every content type can scale without losing machine readability.

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