🤖 llms.txt Generator
By ToolNimba SEO Team · Updated 2026-06-19
Becomes the single H1 at the top of the file.
Rendered as a blockquote right under the title.
Plain paragraph placed between the summary and the first section.
Each section becomes a ## heading. Add link rows with a title, URL and optional note. Blank rows are skipped.
Fill in the fields above to build your llms.txt file.
This llms.txt generator builds a clean, valid llms.txt file: the emerging plain-text standard that points AI and large language model crawlers at the pages on your site that matter most. Enter your site name and a one-line summary, then group your key links into named sections with an optional note on each. The tool writes the markdown for you, ready to copy or download and drop at the root of your domain as /llms.txt.
What is the llms.txt Generator?
llms.txt is a proposed standard, introduced in 2024, for a single markdown file placed at the root of a website (served at /llms.txt) that tells AI systems where your most useful, model-friendly content lives. Where robots.txt says what a crawler may or may not fetch, llms.txt is the opposite in spirit: it is a curated invitation, a short map that says 'start here'. It exists because large language models read with a limited context window and cannot crawl an entire site the way a search engine does, so a concise, link-led summary helps them find authoritative pages fast.
The format is deliberately simple and is plain markdown so both humans and machines can read it. It begins with a single H1 that names the site or project, an optional blockquote that summarises what the site is in one sentence, and then any number of H2 sections. Each section is a bulleted list of markdown links, written as a hyphen, the link in [title](url) form, and an optional short note after a colon. A section literally named Optional is a recognised convention: it flags links a model can skip if it is short on context. There is no XML, no schema and no required fields beyond the title, which is why the file is easy to hand-write or generate.
llms.txt is not a ranking signal and the big search engines have not committed to it as they have to robots.txt or sitemaps. Treat it as a low-cost, forward-looking addition rather than a guarantee: it costs minutes to publish, it cannot hurt your normal SEO, and if AI answer engines and assistants do adopt it widely, your most important pages are already laid out for them. Many projects also publish an expanded llms-full.txt containing the actual page content, but the core llms.txt link map is the sensible place to start.
When to use it
- Giving AI assistants and answer engines a curated map of your documentation, guides and key product pages.
- Helping a large language model find your authoritative content within its limited context window instead of guessing.
- Publishing a lightweight, forward-looking AI file alongside your existing robots.txt and sitemap.xml.
- Pointing models at canonical reference pages so AI-generated answers about your product cite the right URLs.
How to use the llms.txt Generator
- Enter your site or project name. This becomes the single H1 at the top of the file.
- Add a one-line summary. It is rendered as a blockquote directly under the title.
- Optionally add a short free-text note for extra context.
- Create one or more sections (for example Docs, Guides, Optional) and add link rows with a title, URL and optional note.
- Copy the generated llms.txt or download it, then upload it to your domain root so it is served at /llms.txt.
Formula & method
Worked examples
A documentation site wants a minimal llms.txt with one section and two links.
- Set the name to "Acme Docs", which renders as: # Acme Docs
- Add the summary "Developer platform for transactional email", rendered as: > Developer platform for transactional email
- Create a section named Docs, rendered as: ## Docs
- Add link Quickstart pointing at /docs/quickstart with the note "Send your first email", giving: - [Quickstart](https://acme.com/docs/quickstart): Send your first email
- Add link API Reference pointing at /docs/api with no note, giving: - [API Reference](https://acme.com/docs/api)
Result: A valid llms.txt with an H1, a blockquote summary, one ## Docs section and 2 markdown links.
Marking lower-priority links so a model can skip them when context is tight.
- Add your core links under a section named Docs as usual.
- Create a second section named exactly Optional, rendered as: ## Optional
- Add a Changelog link there: - [Changelog](https://acme.com/changelog): Recent updates
- The Optional heading signals that an AI may ignore those links if short on space.
Result: Two sections: Docs holds must-read links, Optional holds skippable extras the model can drop.
Parts of an llms.txt file and what each one does
| Element | Markdown | Purpose |
|---|---|---|
| Site name | # Name | Required single H1 naming the site or project |
| Summary | > One sentence | Optional blockquote describing the site |
| Free text | Plain paragraph | Optional extra context for the model |
| Section | ## Section name | Groups related links under an H2 heading |
| Link | - [title](url): note | A page reference; title and URL required, note optional |
| Optional section | ## Optional | Convention for links a model may skip |
How llms.txt compares to other site files
| File | Location | Audience | Job |
|---|---|---|---|
| llms.txt | /llms.txt | AI / LLM crawlers | Point to the best content to read |
| robots.txt | /robots.txt | All crawlers | Allow or block paths |
| sitemap.xml | /sitemap.xml | Search engines | List every URL to index |
Common mistakes to avoid
- Using more than one H1. The spec expects a single H1 with the site name. Use H2 (##) for every section below it. Extra H1 lines make the file ambiguous and harder for a parser to read.
- Listing every page instead of curating. llms.txt is a short, hand-picked map, not a full sitemap. Dumping hundreds of links defeats the purpose, which is to point a model at the few pages that matter most. Use sitemap.xml for the complete list.
- Using relative or broken URLs. Links should be full, absolute URLs starting with https:// so a model can fetch them directly. Relative paths like /docs may not resolve once the file is read out of context.
- Treating it as a ranking signal. llms.txt is not confirmed to affect search rankings and adoption by major engines is still uncertain. Publish it as a low-cost, forward-looking extra, not a replacement for solid on-page SEO, sitemaps and robots.txt.
- Putting the file in the wrong place. It must sit at the domain root and be served at /llms.txt, the same way robots.txt is. A copy buried in a subfolder will not be discovered.
Glossary
- llms.txt
- A markdown file at a site root (/llms.txt) that points AI crawlers at the most useful content on the site.
- Large language model (LLM)
- An AI system trained on text that reads within a limited context window, which is why a concise link map helps it.
- Context window
- The maximum amount of text a model can consider at once. Curated links help it spend that budget on the right pages.
- Blockquote
- A markdown line starting with > used here for the one-sentence site summary under the title.
- llms-full.txt
- An optional companion file that includes the actual page content, not just links, for models to ingest directly.
- robots.txt
- A separate root file that tells crawlers which paths they may or may not fetch. It controls access; llms.txt suggests content.
Frequently asked questions
What is llms.txt?
llms.txt is a plain markdown file placed at the root of a website (served at /llms.txt) that points AI and large language model crawlers at the most useful pages on the site. It has a single H1 site name, an optional blockquote summary, and sections of markdown links. It is a curated map, not a full list of every page.
Where do I put the llms.txt file?
Upload it to the root of your domain so it is served at https://yourdomain.com/llms.txt, exactly like robots.txt. A copy inside a subfolder will not be found by tools that look for the standard location.
Is llms.txt the same as robots.txt?
No. robots.txt tells crawlers which paths they may or may not access, so it controls access. llms.txt does the opposite in spirit: it invites AI models in and points them at your best content. They work alongside each other and serve different jobs.
Does llms.txt help my SEO or rankings?
There is no confirmed evidence that llms.txt affects search rankings, and major engines have not committed to it the way they have to robots.txt and sitemaps. It is a low-cost, forward-looking file: it cannot hurt your normal SEO, and it may help AI answer engines find your pages if adoption grows.
What is the Optional section for?
A section named exactly Optional is a recognised convention that flags links a model can skip when it is short on context. Put must-read links in your main sections and lower-priority links, such as a changelog, under Optional.
What is the difference between llms.txt and llms-full.txt?
llms.txt is a short link map pointing to your key pages. llms-full.txt is an optional larger companion file that contains the actual page content so a model can read it directly without fetching each URL. Most sites start with llms.txt alone.