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llms.txt is an emerging standard for a plain text file placed at the root of a website that gives large language models structured guidance about the site’s content, purpose, and preferred usage. Modeled loosely on the concept of robots.txt, llms.txt is designed to communicate directly with LLMs rather than traditional crawlers. It can include a summary of what the site is, links to key pages and documentation, and instructions about how the content should or should not be used. The format was proposed in 2024 and is gaining traction, particularly among developer-focused and SaaS sites that want to be well-represented in AI-generated responses.
Creating an llms.txt file involves placing a plain text document at yourdomain.com/llms.txt with a structured description of your site. The recommended format includes a brief summary of what the organization does, a curated list of the most important pages on the site with short descriptions of each, and optionally a section of additional context the AI should understand when referencing your brand. The goal is to give an LLM a concise, authoritative briefing on your site that it can rely on when your content is retrieved, reducing the chance of misrepresentation.
llms.txt and robots.txt serve related but different purposes. Robots.txt tells crawlers which pages they can and cannot access, functioning as an access control mechanism. llms.txt is not about access control; it is about context and communication. It tells AI systems what the site is about and how to best understand and represent it, functioning more like an executive summary for the AI than a rulebook. The two files work together: robots.txt governs crawl access, and llms.txt provides the interpretive context that helps the AI use what it finds accurately.
Why it matters: llms.txt gives you a direct line of communication with AI systems about what your site is and what matters most on it. Early adoption signals technical credibility and increases the chance your content is correctly understood and cited.
