AI-Powered LLMs.txt Generator
The Smartest Way to Make Your Site AI-Ready.
⚠️
Generation Progress
Generated llms.txt
Generated llms-full.txt
What is llms.txt? The Simple Way to Make Your Site AI-Readable
llms.txt is a lightweight, plain-text guide for AI tools. It points models to your most relevant pages (or curated excerpts) in a clean, structured format—so they don’t have to guess through messy HTML, ads, or scripts. Think of it as a “front door” for AI systems.
The Problems it Solves
- Limited context: Large models can’t ingest an entire site at once. llms.txt funnels them to the important, distilled bits.
- Messy HTML: Crawlers struggle with nav, ads, and JavaScript. llms.txt supplies clean text and canonical links.
-
Clarity & access: Keep guidance, allowed sources, and contact info in one predictable place:
/llms.txt
.
For Site Owners
- Decide what AI should read (pages, sections, summaries)
- Improve how your brand appears in AI answers
- Provide canonical text instead of random scraping
- Works alongside
robots.txt
&sitemap.xml
For AI Tools
- Predictable location and structure
- Normalized text → fewer fetches, less parsing
- Optional metadata (source URLs, last-updated) for better attribution
- Faster, cheaper ingestion pipelines
🚀 Growing Adoption
Many leading teams and open-source projects are evaluating or adopting llms.txt in their workflows.
Anthropic
Claude
Hugging Face
Models Hub
Perplexity
AI Search
Zapier
Automation
llms.txt Benefits for AI Visibility (GEO)
Adding llms.txt helps AI tools find, read, and represent your content the way you intend. It’s a simple step that aligns your site with the new AI-powered discovery ecosystem—often called GEO (Generative Engine Optimization).
-
Higher Visibility in AI Answers
Direct models to your best pages and summaries, so responses reference accurate, on-brand sources.
-
Easier Content Analysis
A clean, flattened text list enables quicker keyword/entity research and competitive reviews with AI tools.
-
First-Mover Advantage
Most sites are still unprepared for AI crawlers. A clear llms.txt gives you a head start.
-
Brand Consistency
Guide how models summarize your product, policies, and FAQs—reduce misquotes and outdated snippets.
-
Better Answer Quality
Canonical, structured text reduces noise—models return clearer, more accurate responses about your domain.
-
Future-Ready
As AI discovery evolves, keeping guidance in
/llms.txt
makes adopting new crawlers and formats easier.
💡 The Science Behind AI Optimization
Traditional SEO leans on HTML signals; llms.txt adds a machine-friendly layer that models can trust and verify.
📋
Defined Standard
Clear location & structure
🤖
Machine-Friendly
Clean text, fewer fetches
📈
Measurable Impact
Track quality & coverage
The Story Behind llms.txt
llms.txt began as a practical idea: a plain-text file that gives AI tools direct access to clean, trustworthy content—without getting stuck in navigation, ads, or heavy scripts.
Large language models work with limited context; they can’t read an entire website at once. llms.txt curates links and key excerpts so models start with the most important material first.
By removing HTML ambiguity (layouts, JavaScript, tracking), and placing guidance at a predictable location—
/llms.txt
—ingestion becomes faster, cheaper, and more reliable.
That simplicity is why the approach gained traction: it’s transparent, machine-friendly, and easy to adopt.
Understanding llms.txt
llms.txt is a plain-text guide that helps AI tools quickly find and read the right content on your site. Most implementations use two files:
-
/llms.txt
— a compact navigation guide that lists what to read first (key pages, summaries, canonical links). -
/llms-full.txt
— optional, a comprehensive export that aggregates your docs in one place for deeper ingestion.
The /llms.txt
file usually follows a simple structure:
# Your Project Name
> A concise summary of what your project does
Key information and context about the project
## Main Documentation
- [Getting Started](https://docs.example.com/start): Quick setup guide
- [Core Concepts](https://docs.example.com/concepts): Essential principles
## Optional Resources
- [Advanced Topics](https://docs.example.com/advanced): In-depth guides
- [Examples](https://docs.example.com/examples): Code samples
Start with an H1 for the project name, add a short blockquote summary, then group links under clear H2 sections. Keep primary docs up top, and mark extras under “Optional Resources”.
Real-world examples:
- This site’s llms.txt — a minimal, easy-to-scan example.
- Anthropic’s llms.txt — a richer, multi-language style.
Understanding llms-full.txt
While
/llms.txt
provides navigation and structure,
/llms-full.txt
contains the complete documentation content in markdown format.
Here's an example from Cursor's
/llms-full.txt
:
# AI Review (Beta)
AI Review is a feature that allows you to review your recent changes in your codebase to catch any potential bugs.
<Frame>
<img src="https://mintlify.s3-us-west-1.amazonaws.com/cursor/images/advanced/review.png" alt="AI Review" />
</Frame>
You can click into individual review items to see the full context in the editor, and chat with the AI to get more information.
### Custom Review Instructions
In order for AI Review to work in your favor, you can provide custom instructions for the AI to focus on. For example,
if you want the AI to focus on performance-related issues, you could put:
focus on the performance of my code
code
Code
This way, AI Review will focus on the performance of your code when scanning through your changes.
### Review Options
Currently, you have a several options to choose from to review:
* `Review Working State`
* This will review your uncommitted changes.
* `Review Diff with Main Branch`
* This will review the diff between your current working state and the main branch.
* `Review Last Commit`
* This will review the last commit you made.
Business Use Cases & Implementation Strategy
llms.txt isn’t only for engineers—it’s a practical lever for content, marketing, and product teams to make a site clearly readable for AI systems.
🏢 Enterprise Content
- Documentation websites
- Knowledge bases
- API documentation
- Product catalogs
- Corporate blogs
🎯 Marketing & SEO
- Competitive analysis
- Content gap identification
- Entity research
- Keyword optimization
- Brand monitoring
🔬 Research & Analysis
- Academic publications
- Industry reports
- Technical specifications
- Research databases
- Legal documents
🚀 Implementation Roadmap
Phase 1: Basic Implementation
- Generate your initial llms.txt file
- Upload to your website root (/llms.txt)
- Test with AI tools like ChatGPT or Claude
- Monitor for AI system recognition
Phase 2: Advanced Optimization
- Create comprehensive llms-full.txt
- Implement regular content updates
- Analyze competitor implementations
- Integrate with content strategy
⚠️ Important Considerations
Security & Privacy
- Review content before publishing
- Avoid exposing sensitive information
- Consider competitive implications
- Implement access controls if needed
Content Quality
- Ensure accuracy and relevance
- Avoid keyword stuffing
- Maintain consistent updates
- Monitor AI system feedback
📈 Measuring Success
Track the impact of your LLMs.txt implementation:
🔍
AI Mentions
Monitor brand references
📊
Content Analysis
Use AI tools for site analysis
🎯
Accuracy Score
Test AI understanding
⚡
Response Speed
Measure efficiency
llms.txt vs sitemap.xml vs robots.txt
These files look similar but solve different jobs. Here’s how they fit together for AI and search.
sitemap.xml
- Lists indexable URLs for crawlers
- No summaries or curated text
- Built for search engine discovery
robots.txt
- Allows/blocks crawler access
- Permissions and crawl rules only
- Doesn’t explain content
llms.txt
- Curated text + canonical links for AI
- Optimized for context limits (no HTML clutter)
- Guides models to what matters first
Using LLMs.txt with AI Systems
Unlike search engines that actively crawl the web, current AI systems don't automatically discover and process LLMs.txt files.
To use LLMs.txt with your AI assistant, you'll need to provide the content manually. Here are the common methods:
Share the Link
Provide the direct URL to your LLMs.txt file in your conversation with the AI.
Copy & Paste
Copy the file contents directly into your prompt when asking questions about the documentation.
File Upload
Use your AI tool's file upload feature (if available) to share the LLMs.txt content.
Using with Different AI Tools
ChatGPT
Open your /llms-full.txt
, copy the URL or contents, paste into ChatGPT, then ask specific questions about the docs.

Claude
Claude doesn’t auto-fetch web pages. Paste the contents of /llms-full.txt
or upload it as a file, then ask questions with that context loaded.

Cursor IDE
In Cursor, type @Docs > Add new doc
, then paste your /llms-full.txt
URL. Once indexed, reference it naturally in chats.

Frequently Asked Questions (FAQ)
LLMs.txt is a proposed standard that helps Large Language Models (LLMs) like ChatGPT and Claude understand your website content better.
It’s a simple markdown file placed at the root of your site (e.g., example.com/llms.txt
) that provides a clean, structured summary of your site and links to important pages.
Benefits include:
- Better visibility in AI-powered search results (GEO – Generative Engine Optimization)
- More accurate representation of your brand in AI responses
- Future-proofing for AI technologies
- Structured content analysis for faster AI processing
Yes! Our tool generates LLMs.txt files for free for any website. Perfect for improving AI-readiness without extra cost.
Generate: Enter your website URL in our generator, and the file will be created instantly.
Upload: Place the generated file in your website’s root directory:
https://yourdomain.com/llms.txt
Share with AI tools:
- Provide the file URL
- Copy-paste the contents into a chat
- Upload the file if supported
Yes. You can modify:
- The main heading with your website name
- The description of your site
- The list of key pages or sections you want AI to prioritize
There’s no confirmed SEO ranking boost yet, but it helps with AI-powered search visibility and structured content understanding for future AI search engines.
Early adopters include:
- Anthropic (Claude AI)
- Hugging Face (AI Models Hub)
- Perplexity (AI Search)
- Zapier (Automation)
Upload it to your website’s root directory so it’s accessible at:
https://yourdomain.com/llms.txt
Update it whenever you:
- Add new pages or sections
- Change important content or product info
- Modify your site structure
At minimum, review it every 3 months.
Generally, you keep one main file at your site’s root. However, you can link to additional markdown files from your main LLMs.txt to cover specific sections in more detail.
No. Just enter your site’s URL in our free generator, download the file, and upload it to your site—no programming required.