About this tool
Create a concise llms.txt draft that helps AI search systems understand your site structure, key pages, trust signals, sitemap locations, and representative tools without relying on a bloated HTML crawl alone.
LLMs.txt Generator helps teams create a focused machine-readable discovery file for AI crawlers and assistant systems. It is most useful after a site has removed thin pages and wants to point AI systems toward the pages that best explain the product, policies, topical focus, and high-value tools.
- Generates a clean llms.txt draft from site name, domain, description, and priority pages.
- Checks for core pages, trust pages, sitemap references, contact details, and machine-readable section headings.
- Flags thin summaries, missing HTTPS URLs, and missing editorial or privacy signals before publication.
How to use LLMs.txt Generator
Enter the canonical site URL, summary, sitemap, trust pages, and representative high-value URLs. Review the audit panel first, then copy the generated llms.txt draft and publish it only after confirming the listed URLs are indexable, useful, and consistent with the sitemap.
When this tool is useful
- After pruning low-value pages from a tool directory or content hub.
- Before submitting a refreshed sitemap and requesting Search Console indexing.
- When adding AI-search-specific trust and discovery signals to a technical SEO checklist.
Practical tips
- List representative high-value pages, not every URL on the site.
- Include trust pages such as About, Privacy, Editorial Policy, Updates, or Contact.
- Keep summaries short and factual so the file reads like a discovery guide rather than ad copy.
Examples you can test
These examples show the kind of real input and reviewed output this tool is designed to support. Use them as a starting point before pasting your own production content, then compare the output with the destination system that will use the result. The goal is not only to produce a value, but to make the input assumptions, output format, and review step clear enough that the result can be trusted in a real workflow.
Build an llms.txt file for a tool site
Example input
Site: Utiloom Core pages: /, /tools, /about, /privacy, /editorial-policy Representative pages: AI Search Readiness Checker, JSON Formatter, Schema Validator
Expected output
# Utiloom Curated browser-based tools... ## Core Pages - https://www.utiloom.com/tools ## Representative Tools and Resources - https://www.utiloom.com/tools/ai-search-readiness-checker
The generated file highlights trusted entry points and high-value pages instead of exposing every thin or filtered URL.
Catch weak discovery files
Example input
Core pages: only homepage Representative pages: 80 generic calculators and placeholder tools
Expected output
Warnings for missing trust pages, missing sitemap, and over-broad low-value representative URLs.
A good llms.txt file should reinforce quality pruning, not preserve a low-value site map in another format.
Validation checklist
Run through these checks before copying the result into a CMS, codebase, spreadsheet, campaign, support ticket, or production document. Small formatting differences, unit assumptions, hidden whitespace, and platform-specific rules are common sources of mistakes in quick browser tools, so the final review should happen in the same context where the output will be used.
- Confirm every URL in the generated file returns 200 and is intended to be indexable.
- Include sitemap and trust-page references before publishing.
- Avoid query-parameter URLs, placeholder pages, and low-value duplicate utilities.
- Regenerate the file after major category pruning or site repositioning.
Why people use this tool
AI search visibility depends on clarity, credibility, and retrieval-friendly structure. A concise llms.txt file cannot replace helpful content, but it can make the site easier to interpret when paired with strong schema, clean sitemaps, editorial pages, and focused tool pages.
Related search intents
llms.txt generator, llms txt checker, ai search discovery file, llm seo tool, geo technical seo.