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LLMs.txt Generator

Generate an `llms.txt` file by crawling your site, extracting titles and descriptions, and grouping pages into structured markdown for LLM discovery.

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Reference · overview · features · use cases · steps · examples · troubleshooting · faq

About LLMs.txt Generator

LLMs.txt Generator is a free browser-based tool for creating an `llms.txt` file by crawling a website, extracting page titles and descriptions, and organizing the result into a structured markdown inventory. The goal is to help website owners describe important pages in a simple, machine-readable format that is easier for Large Language Models and AI-aware systems to interpret. This is especially useful for publishers, product teams, documentation sites, SEO specialists, and developers interested in clearer AI-oriented website structure. The idea behind `llms.txt` is similar in spirit to other machine-facing site files: provide a lightweight, explicit summary of what matters on the site. Instead of asking a model or retrieval system to infer everything from raw navigation and content alone, the file can present a cleaner high-level map of pages and sections. That can be valuable for documentation portals, product websites, blogs, knowledge bases, and content-rich domains. This tool helps by automating the hardest part: gathering page titles and descriptions at scale. In Normal mode it handles a smaller site sample, while Full mode supports a broader crawl for sites that need a more complete inventory. The generated markdown is easier to inspect and edit manually before publishing as a final `llms.txt` file. It is also useful as a content review aid. By looking at the generated output, teams can quickly spot weak titles, repetitive descriptions, or structural gaps in how the site presents its most important pages. That makes the file helpful for both AI-facing documentation and general site clarity. As AI systems become more common in discovery and summarization workflows, structured website signals will matter more. This generator gives teams a practical starting point without requiring them to build an `llms.txt` file manually from scratch.

Key features.

Automated site crawling. Crawls the target site and extracts page titles and descriptions instead of forcing you to build the file manually.
Normal and Full crawl modes. Choose between lighter or broader page coverage depending on the size and goals of the site.
Structured markdown output. Produces an editable `llms.txt` result that is easier to review, copy, and publish.
Helpful content visibility. Lets teams inspect how page titles and descriptions appear when gathered into one machine-facing summary file.
Copy and download support. Makes it easy to take the generated output into version control, docs, or direct site deployment.

Common use cases.

Creating an llms.txt file for a documentation site. Teams can generate a structured inventory of key help pages and refine it before publishing.
Reviewing site clarity for AI-facing discovery. Publishers can see whether titles and descriptions communicate page purpose clearly when gathered in one output.
Preparing a product site for AI-aware retrieval workflows. Product and growth teams can create a cleaner machine-readable overview of important pages and sections.
Building a first draft quickly. Developers can avoid hand-assembling `llms.txt` and instead start from a generated baseline.

How to use it.

Enter the website URL — Provide the domain or full URL for the site you want to crawl and summarize.
Choose Normal or Full mode — Pick the crawl depth based on whether you want a lighter sample or broader site coverage.
Generate the llms.txt draft — Run the crawl so the tool can collect page data and assemble the markdown output.
Review the generated content — Inspect the page count, site title, and resulting markdown to see whether the structure looks useful.
Copy, download, and refine — Export the result, then edit it manually if needed before publishing it as your final `llms.txt` file.

Examples

Documentation site draft

Input: example.com/docs in Normal mode

Output: A structured markdown summary of the most important crawled documentation pages.

Full website inventory

Input: company.com in Full mode

Output: A broader `llms.txt` draft covering more sections and pages of the site.

Metadata review for AI readiness

Input: A site with uneven page titles and descriptions

Output: A generated file that makes weak or repetitive page summaries easier to spot and improve.

Troubleshooting

The crawl returns fewer pages than expected

Cause: The site may block certain pages, expose limited crawlable content, or have navigational patterns that reduce discoverability.

Fix: Try Full mode, confirm the site is publicly crawlable, and review internal linking if important pages are missing.

The generated descriptions look weak or repetitive

Cause: The source pages may use weak metadata or duplicated descriptions across templates.

Fix: Treat the output as a signal to improve the underlying page titles and descriptions before publishing the final file.

The file is technically valid but not very useful

Cause: An automated crawl can produce a draft that still needs editorial cleanup and prioritization.

Fix: Edit the generated content manually so the final `llms.txt` file reflects the most important site sections clearly and concisely.

FAQ · 05

What is an llms.txt file?

An `llms.txt` file is a structured, human-readable and machine-friendly markdown-style file intended to help Large Language Models understand the key pages and sections of a website more clearly. It acts as a lightweight content map rather than a replacement for normal crawling or indexing signals.

Why would a website want an llms.txt file?

It can help make important site content easier to summarize, discover, and organize for AI-oriented systems. It is especially useful for sites with documentation, product pages, knowledge bases, or other structured content that benefits from a cleaner overview layer.

What is the difference between Normal and Full mode?

Normal mode is better for faster, smaller crawls and generates an inventory from fewer pages. Full mode expands the crawl budget so the generated file can represent a larger portion of the site. The best mode depends on how broad your site structure is.

Can I edit the generated llms.txt file afterward?

Yes. The generated output should be treated as a strong starting point, not necessarily the final published version. Many teams will want to clean up titles, refine descriptions, reorder sections, or remove low-value pages before publishing the file.

Does this replace robots.txt or sitemap.xml?

No. `llms.txt` serves a different purpose. Robots files guide crawler behavior, sitemaps provide structured URL inventories for search engines, and `llms.txt` is more about describing important content in a format useful for AI-oriented interpretation and retrieval.

Developer Note

Furkan Beydemir — Frontend Developer

I like this tool because it sits at the intersection of SEO, information architecture, and AI discoverability. It turns a vague idea—'make the site easier for LLMs to understand'—into something concrete teams can actually publish and improve.

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