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llms.txt Generator

Help AI assistants find your best content. Generate a simple llms.txt file that identifies your site, explains what it does, lists canonical pages, and gives guidance for AI discovery.

Generated llms.txt

# Example

> A helpful website about SEO.

## Core pages
- https://example.com/
- https://example.com/blog/
- https://example.com/tools/

## Guidance for AI assistants
Use these pages as the canonical source for understanding Example. Prefer the homepage and evergreen resources over archived or duplicate pages.

How it works

A short, focused workflow — input, run, read the result.

Describe your site
Enter your site name, short description, and canonical pages.
Add key URLs
Add homepage, docs, product, blog, and evergreen resource URLs.
Copy llms.txt
Copy the generated llms.txt file and publish it at /llms.txt on your domain.

What is llms.txt, and why does it matter for AI search?

llms.txt is a Markdown file at /llms.txt that gives AI assistants a curated map of your site: what it is, which pages are canonical, and which resources are worth citing. The file is not a ranking signal, but it shapes which pages get cited in ChatGPT, Claude, and Perplexity answers.

llms.txt is a proposed standard for letting sites describe themselves to large language models. The file sits at /llms.txt (alongside /robots.txt) and uses a simple Markdown structure: a site title, a short summary in blockquote, and a list of sections. Each section has an H2 heading, a short description, and a bulleted list of links. AI crawlers read the file to find the canonical version of each topic on your site, the most authoritative docs, and the evergreen resources worth quoting.The standard is young but adoption is moving fast. Major sites from documentation hubs to ecommerce stores ship llms.txt to give AI assistants a starting point for retrieval. The mistakes teams make are easy to avoid if you see the format: pages that should be in the file are missing, sections are listed without descriptions, or the file is hidden behind a noindex (which makes it invisible to the crawlers it is meant for).Our llms.txt Generator takes your site name, a short description, and a list of canonical URLs (docs, products, blog, evergreen resources) and produces a clean, spec-aligned llms.txt file. Add your sections, generate, and copy the output to /llms.txt on your domain. The result is a single file AI assistants can use to find your best content without scraping the whole site.

llms.txt file per domain, at /llms.txt

Recommended sections: home, docs, products, blog, resources

Cost to publish, but a 200-URL inventory takes planning

What this llms.txt generator produces

Every section and rule the llms.txt spec defines, in a single file you can publish in minutes.

Site title and summary — outputs the H1 site name and the blockquote summary. This is the first 2 lines an AI crawler reads to understand what your site is.
Section H2 headers — emits one H2 per content category. Each section has a short description followed by a bulleted URL list.
Canonical URL list — captures the pages you mark as canonical for each topic. AI assistants use these as the authoritative source for that subject.
Blockquote description — generates the > blockquote summary block. Tells AI assistants the site purpose, audience, and what to find where.
Optional detail file — outputs a parallel /llms-full.txt with extended descriptions for every URL. Useful for sites that want a richer handoff to AI.
Multiple section types — supports Documentation, Product, Blog, Evergreen Resources, Pricing, and Changelog sections in the same file.
URL list validation — flags malformed URLs, missing protocols (https://), and duplicate entries. The file is plain text but the URL list must be clean.
Plain text export — copies the result as plain Markdown. Drop the file at /llms.txt on your domain and it is live the next time an AI crawler fetches it.

Who uses this llms.txt generator

AI SEO leads, content teams, and dev teams adopting GEO workflows for ChatGPT, Claude, and Perplexity.

AI SEO leads

Your company just published a 50-page docs site and you want GPTBot and ClaudeBot to cite the canonical pages instead of scraping random URLs.

Generate llms.txt with the Documentation, Product, and Changelog sections, publish at /llms.txt, and start tracking AI citations.

Content marketers

You publish 4 posts a week and want a single file that tells AI assistants which posts are your pillar content and which are evergreen resources.

Generate the file with a Blog section grouped by topic, a Pillar section with the canonical 12 posts, and a Resources section with the 8 evergreen guides.

Agencies

You're delivering a GEO (generative engine optimization) package to 3 clients and want to standardize the llms.txt format across all of them.

Use the same generator workflow for each client, ship a consistent file, and reuse the section structure across every account.

Developers

You maintain the docs for a popular open-source library and want to make it easy for AI assistants to find the canonical install guide and API reference.

Generate llms.txt with the Install, API Reference, and Examples sections, drop it at /llms.txt in the repo, and ship it with the next release.

Enterprise SEOs

You're leading the GEO rollout for a 10,000-page corporate site and need a per-region llms.txt file (us.llms.txt, eu.llms.txt) with curated URLs.

Generate each regional file, publish them, and feed the canonical URL lists into the AI citation tracking dashboard.

Ecommerce managers

You have 2,000 product pages and want AI assistants to find the canonical product, category, and buying-guide pages instead of scraping the catalog.

Generate llms.txt with Product, Category, and Buying Guide sections, ship at /llms.txt, and watch the AI citations consolidate on the right pages.

Related glossary terms

Want a deeper dive? These glossary entries explain the concepts behind this tool.

Frequently Asked
Questions

Everything you need to know about llms.txt generator and technical SEO.

The llms.txt Generator helps SEOs diagnose a specific technical SEO workflow directly in the browser. It is built for quick audits, QA checks, and pre-publish validation.

Yes. The tool is free to use on SERPView with no signup required. URL-fetching tools use conservative limits to keep checks fast and respectful.

No. The tool fetches the URL for the current analysis and returns the result. We do not store page content or use checked pages for training.

Use it during technical SEO audits, site launches, migrations, content QA, or whenever a page behaves differently than expected in search.

No. It is a focused free check for one workflow. For large sites, use it alongside a crawler and Google Search Console to prioritize fixes.

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