Article 01
Why llms.txt matters for agentic browsing
A source-led reading of Chrome Lighthouse guidance and what it actually means for real websites.
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AI-readiness blog
llms.txt and website AI readiness.Practical writing on llms.txt, publishing, canonical pages, and how to improve AI readiness across the pages that matter most.
Article 01
llms.txt matters for agentic browsingA source-led reading of Chrome Lighthouse guidance and what it actually means for real websites.
Article 02
llms.txt useful for AI agents?A practical guide to the summary, links, and canonical page signals that make the file worth publishing.
Article 03
A sharper version of the checklist: root file, core pages, naming consistency, and maintenance.
AI-readiness library
These pages are written as durable explainers and QA references. They are the best starting points when you need a clean definition, comparison, or implementation check.
A plain-language definition, scope, and role.
When to keep the root file concise and when to add a full variant.
A short QA routine for verifying public root access.
The errors that make files hard to find, trust, or route through.
FAQ
A few quick answers about what the articles cover and how to use them alongside the builder, score, and publish workflow.
The blog focuses on llms.txt, AI-readable website structure, publishing guidance, scoring, and canonical page strategy.
No. The builder is practical on its own, but the articles help explain why the structure matters and what stronger implementations look like.
Start with the foundational article on why llms.txt matters, then move to the useful-file guide or the site-readability checklist.
Yes. The blog is meant to grow into a practical reference library for teams making websites easier for AI systems to understand.