Blog
In-depth articles on the llms.txt spec, AI crawlers, generative engine optimization, and practical implementation guides for developers and site owners.
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llms.txt vs robots.txt — what's the difference?
robots.txt controls crawler access; llms.txt provides structured context for AI systems. Learn how the two files differ in format, purpose, and who reads them.
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GEO: Generative Engine Optimization — what it is and why it matters
Generative Engine Optimization (GEO) is the practice of optimizing content to appear in AI-generated answers. Learn how it differs from traditional SEO and where llms.txt fits in.
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llms.txt best practices — how to write a file AI systems actually use
A practical DO/DON'T guide: use absolute URLs, write factual descriptions, keep it concise, and update regularly. Everything you need to write a file that works.
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AI crawlers explained — how Perplexity, ChatGPT, and Claude read your site
AI crawlers differ from Googlebot: they build context, not just indexes. Understand what GPTBot, ClaudeBot, and PerplexityBot do and how llms.txt helps.
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llms.txt for API-first products
Developer tools and API products benefit especially from llms.txt because developers ask AI assistants about APIs. A guide with a full example template.
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llms-full.txt — what it is, when to use it, and how to create one
llms-full.txt is the companion file that inlines your full page content. Learn when it makes sense, how it differs from llms.txt, and who uses it.
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How to measure the impact of your llms.txt file
No direct analytics dashboard exists yet — but you can triangulate. Track AI referral traffic, monitor bot fetch logs, and test citation accuracy manually.
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llms.txt for documentation sites
Docs sites are the ideal use case for llms.txt. Learn what to include, what to exclude, and how to structure your file so AI assistants give accurate answers.
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