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Free llms.txt Generator Tool

Create an llms.txt file manually, from a website, sitemap or list of URLs with a fast llms.txt generator free workflow.

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Input
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Select URLs
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Build & Preview

Generate from Website URL

We will attempt to find your sitemap and extract pages automatically.

What is the Free llms.txt Generator?

The llms.txt Generator is an advanced, free tool designed to help developers, technical writers, SEO teams, and website owners quickly build properly formatted llms.txt files. The llms.txt standard provides a proposal to expose your website's documentation, API references, and critical resources to Large Language Models and AI agents.

Use this llms.txt generator tool when you need a fast, editable and free llms.txt generator for a documentation site, SaaS product, API, ecommerce site, blog or agency client project.

Instead of manually writing Markdown links and struggling with formatting, this tool provides a complete visual workspace. You can import URLs automatically, organize them into logical sections, edit descriptions, and generate a structured file that follows current recommendations ready for deployment.

How to Use This Tool

Step 1: Choose Your Input Method

You can start your project using one of five methods. You can enter your Website URL to automatically locate and extract indexable pages from your sitemap. If you know your XML Sitemap's exact location, you can paste it directly for faster processing. Alternatively, you can paste a raw URL List for the tool to fetch automatically.

If you prefer starting from scratch, you can use the Manual Builder to add sections and links one by one. You can also import an Existing File to visually edit and update it without ever touching the raw Markdown.

Step 2: Filter and Select URLs

If you imported a website or sitemap, you will see a large table of discovered pages. A standard llms.txt file should be curated—it should not just be a dump of every URL on your site. Use the search and filter tools to exclude irrelevant pages, like login screens or duplicate content, and only select high-value resources, guides, and documentation.

Step 3: Organize with the Visual Builder

Once you proceed to the Visual Builder, you will use a split-screen interface to format your file. You can set the Project Information, which includes an H1 heading and a short summary. You can then add Sections for logical categories like Documentation or API Reference. There is also a special section called Optional, which AI models know to deprioritize if they are running out of context tokens.

Finally, you can drag and drop your Links & Descriptions to reorder them, and add short, clear descriptions to each link so LLMs understand exactly what the page contains.

Step 4: Live Preview & Validation

As you type in the Visual Builder, the right side of your screen updates instantly. You can view the Rendered Preview to see how humans will read it, or the Raw Markdown to see the exact code that will be exported. You can also click the Issues tab to see automated quality checks that warn you if you are missing a required title or descriptions.

Step 5: Export and Deploy

When you achieve a perfect score, click the Download button. Upload this file to the public root directory of your website. AI models and web crawlers will automatically discover it and use it to better understand your project!

Related Components

Questions you might have

What is an llms.txt file?
An llms.txt file is a structured Markdown file that follows current recommendations placed in the root directory of a website. It acts as an index for Large Language Models (LLMs), directing them to a site's most important documentation, tutorials, and context files, making it easier for AI agents to learn about the project.
Do I need to include every page on my website?
No. The llms.txt standard is designed to be a curated list of resources. You should only include important pages like documentation, API references, pricing, and main guides. Exclude clutter like tag pages, raw blog feeds, and login portals.
What does the "Optional" section do?
The Optional section (represented as an ## Optional header) is a specific feature of the standard. If an AI agent has a limited context window, it will automatically drop or deprioritize links inside the Optional section. Put secondary information like privacy policies or contact pages here.
Are link descriptions required?
No, descriptions are not strictly required by the format, but they are highly recommended. A short description tells the LLM exactly what a page contains, helping it decide whether to fetch that page or not when answering a user's question.