What is LLMs.txt ➕ LLMs-Full.txt?

A proposed technical standard for AI visibility across the web.

This week, we break down two emerging specs shaping how content is served to large language models. llms.txt introduces a simple way to manage AI access, while llms-full.txt pushes the idea further with a structured, developer-friendly format designed to bundle context, metadata, and usage intent into every page.

💬 What is LLMs.txt?

As LLMs (large language models) integrate more real-time browsing and retrieval-augmented generation (RAG), a growing question has emerged: how should websites structure their content to be understood by AI?

In response, some developers have proposed a new standard: LLMs.txt. The standard suggests creating machine-readable entry points for models, akin to what robots.txt is for crawlers, but optimized for inference rather than indexing.

It sounds promising on paper, but in practice, it’s inconsistently implemented, unsupported by major AI providers, and arguably premature. Here we’ll take a closer look at the LLMs.txt standard, the files it proposes, and whether it’s worth implementing.

📖 Read more here.

🤖 What is LLMs-Full.txt?

The llms.txt proposal aims to guide LLMs toward high-value pages using a markdown file of curated links. Many teams go a step further by publishing a llms-full.txt file that contains the actual content of those pages, not just the links.

The rationale behind LLMs-Full.txt

LLMs-Full.txt is an unofficial format for consolidating important web content, like API docs, onboarding guides, or support pages, into a single markdown file. It’s not part of the llms.txt standard. 

📖 Read more here.

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Thanks for reading! Reply any time. 👋🏻

Until next time,
Thenuka

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