llms.txt
llms.txt is a standardized text file in the root directory of a website (at /llms.txt) that shows AI systems like ChatGPT, Claude, or Perplexity, in structured form, which content of a site is especially important and well suited for machine processing. It bundles core topics, important pages, and short descriptions as Markdown and helps language models grasp your content faster and reproduce it correctly.
Why llms.txt matters
AI assistants increasingly answer questions themselves instead of just showing a list of results. For a model to name your brand correctly, it must reliably find and understand your content. Classic HTML is often overloaded for this: navigation, ads, scripts, and cookie banners dilute the actual text. The llms.txt provides the model with a tidy map of your website, clearly structured, without ballast. This increases the chance that your facts appear in AI answers and are cited correctly. For AI visibility it's a low-threshold lever: you give machines exactly the orientation that human visitors have long had via menu and search. Especially with complex offerings, this noticeably lowers the error rate.
How llms.txt works
The file lies at yourdomain.com/llms.txt and is written in Markdown, that is, a simple, easily readable text format. At the beginning there is usually a heading with the name of your offering and a short paragraph explaining what it's about. Below follow thematically grouped link lists: per entry, an address plus a sentence that summarizes the content. Optionally there is an llms-full.txt, which contains the complete body text of important pages, so that a model doesn't have to load each URL individually first. Important: llms.txt replaces neither your XML sitemap nor robots.txt. It supplements them and is aimed specifically at language models, not at classic search engine crawlers. The standard is a proposal, not an enforced norm.
Common mistakes
Many create an llms.txt and link outdated or deleted pages within it, which leads models astray. A second mistake is simply copying the complete sitemap: the strength lies precisely in the selection of the most important content, not in completeness. Pure URL lists without descriptive sentences also waste potential, because the model lacks the context. Some forget to update the file after relaunches, so that it silently becomes wrong. And whoever expects llms.txt to improve rankings immediately will be disappointed: it is a young, voluntary standard that not all providers yet actively read. Treat it as a maintenance task, not a one-time check-off, and keep the descriptions honest and precise.
Relation to AI recommendations
Whether an AI assistant recommends your brand depends on how well it knows your content and how citable it is. The llms.txt is one building block in this chain: it makes your core statements more easily accessible for machines and reduces the risk that a model uses outdated or invented information. But it doesn't replace a good content strategy. A model recommends you above all when your pages offer clear answers, solid facts, and recognizable expertise. llms.txt ensures that this quality doesn't fail due to technical disorder. In combination with structured data, clean headings, and current content, it measurably strengthens your position in generative search.
Example
A mid-sized tool manufacturer wants AI assistants to describe its products correctly. It creates a file at its-domain.com/llms.txt. At the very top there is a sentence: "Manufacturer of cordless screwdrivers and accessories for trade and industry." Below, it groups links: under "Products" the most important category pages, under "Guides" three tutorials, under "About us" company history and contact. Each link gets an explanatory sentence. When someone asks ChatGPT about suitable cordless screwdrivers, the model finds structured, current information instead of fighting through convoluted HTML, and names the brand more precisely.
Common questions
Do I absolutely need an llms.txt?
No, it is voluntary and not yet a binding standard. But it is a cheap, low-risk building block: whoever takes AI visibility seriously gives language models a clean orientation to their own core content with it.
Is llms.txt the same as robots.txt?
No. robots.txt controls what crawlers are allowed to read at all. The llms.txt actively suggests to language models which content is especially important. The two complement each other but don't replace one another.