LLMs.txt Generator

What is llms.txt?

llms.txt is a plain Markdown file that lives at the root of your domain (yoursite.com/llms.txt) and gives large language models a curated map of your site. The idea was proposed by Jeremy Howard of Answer.AI in September 2024 and is documented at llmstxt.org. The problem it tries to solve is simple: AI assistants have limited context windows, and your actual website is full of navigation, cookie banners, scripts, and boilerplate that waste those tokens. llms.txt strips all of that away and says, in a format both humans and machines can read, "here is what this site is, and here are the pages that matter."

The spec defines a strict but minimal structure. The file starts with a single H1 containing the site or project name. That is the only required element. It is typically followed by a blockquote (a line starting with ">") containing a one-sentence summary, then optionally one or more paragraphs of extra detail. After that come H2 sections, each containing a Markdown list of links in the format [title](url), with an optional note after a colon. Section names like "Docs", "Guides", or "Policies" are common, and the spec reserves one special name: a section called "Optional" holds secondary URLs that an AI can safely skip when it needs to keep context short.

That is the whole format. No XML, no JSON, no directives. Just structured Markdown that a model can ingest directly. The generator on this page builds a file that matches the spec exactly, so if you want a quick llms.txt example, fill in the form and watch the preview.

How llms.txt differs from robots.txt

People often lump the two files together because they both live at the site root and both speak to bots, but they do opposite jobs. robots.txt is a crawl control file. It tells crawlers which URLs they may or may not fetch, using User-agent and Disallow directives. It is fundamentally about restriction: keep out of this directory, slow down, here is the sitemap.

llms.txt is content guidance, not access control. It does not block anything and it grants no permissions. It is closer to a hand-written reading list for AI systems: when a model wants to understand or cite your site, this file tells it where the good stuff is and in what order to read it. If robots.txt is a fence, llms.txt is a welcome mat with directions.

The two work together. You might use robots.txt to block AI training crawlers from scraping your whole site while still publishing an llms.txt that points answer engines at the handful of pages you actively want referenced. If you have not set up your crawl rules yet, our free robots.txt generator handles that side of the equation.

The honest state of adoption in 2026

Let us be straight about this, because plenty of articles oversell it. llms.txt is a proposed standard, not an official one. Google has said publicly that its systems do not use llms.txt, and it is not a ranking factor in traditional search. There is no guarantee that any specific AI assistant will fetch the file on any specific day.

That said, adoption is real and growing on the publisher side. Thousands of documentation sites and SaaS companies now serve one, including major developer tool companies, and documentation platforms like Mintlify generate the file automatically. Server logs across the industry show AI crawlers do request /llms.txt, with some labs fetching it more consistently than others. The picture in 2026 is best described as: some AI systems read it, none formally commit to it, and the spec keeps gaining ground because it costs almost nothing to implement.

That cost-benefit is the practical argument. Creating the file takes ten minutes with a generator like this one. If AI assistants use it, you have influenced which of your pages get read and cited. If they ignore it, you have lost nothing, and you have also produced a useful curated index of your own site in the process. We treat llms.txt as one small piece of a broader answer engine strategy, alongside structured data, content formatting, and citation tracking. That bigger picture is what our AI SEO services cover.

What to put in your llms.txt

The most common mistake is dumping every URL from the sitemap into the file. That defeats the purpose. llms.txt exists because context is scarce, so curate ruthlessly. A good file has a clear one-sentence summary that says what the site is and who it is for, a short details paragraph with any context a model needs before reading further, and a handful of sections containing your genuinely useful pages: core documentation, your best guides, pricing, contact details, and policies like terms and privacy.

Write the link notes for a machine that has never seen your brand. "Pricing" with the note "current plans and what each includes" beats a bare URL. Keep the whole file scannable: most good examples in the wild are under a hundred lines. Move anything secondary (changelogs, older posts, niche reference pages) into the Optional section so models know they can skip it.

The spec also describes a companion file, llms-full.txt, which goes a step further: instead of linking to your pages, it contains the full flattened text of your documentation in one large Markdown file. It is popular with developer tool companies whose users paste docs into coding assistants. For most marketing sites, the standard llms.txt index is the right starting point, and you can add llms-full.txt later if there is demand.

Frequently asked questions