llms.txt: Your AI Discovery File (And Why You Need One Yesterday)

Remember robots.txt? That simple file that told search engines how to crawl your site? Well, AI agents need something similar. Enter llms.txt—the protocol that's quietly becoming the standard for AI discoverability.

Three months ago, a startup launched with cutting-edge AI tooling. They had amazing docs, pristine APIs, and zero AI agent adoption. Why? No AI agent could figure out what they did. They were invisible to the very users they wanted to reach.

Then they added a single file: llms.txt. Within a week, AI agents were discovering, evaluating, and recommending their tools. Their "AI-driven" adoption grew 400%.

Not sure if your llms.txt is working? Our free evaluator tool shows you exactly how AI agents see your file and what to improve.

What Is llms.txt?

Think of llms.txt as your product's AI-readable business card. It's a simple text file that sits at yoursite.com/llms.txt and tells AI agents everything they need to know about your product, in a format they can actually understand.

"We spent $500K on documentation that humans loved and AI ignored. Then we spent 2 hours writing llms.txt, and our AI discovery rate jumped 10x overnight." - CTO, DevTools Startup

The Anatomy of an Effective llms.txt

Here's what a well-optimized llms.txt looks like:

# Company: DevMCP.ai # Updated: 2025-09-08 title: DevMCP.ai - MCP Consulting & Buildouts for Developer Journeys description: We host and manage Model Context Protocol (MCP) servers for enterprise developer tools, enabling AI agents to discover and use your APIs instantly. # Core Capabilities capabilities: - MCP server hosting and management - AI-native API exposure - Enterprise security and compliance - Multi-tenant architecture - Analytics and monitoring # Integration Information mcp_endpoint: https://api.devmcp.ai/v1/connect api_docs: https://docs.devmcp.ai/api playground: https://playground.devmcp.ai # Use Cases use_cases: - scenario: "Make database queryable by AI agents" example: "SELECT * FROM users WHERE active = true" - scenario: "Enable AI to run performance benchmarks" example: "benchmark.run('latency-test', iterations=1000)" # Keywords for AI Discovery keywords: [mcp, model context protocol, ai tools, developer tools, api hosting, ai discovery] # Contact support: support@devmcp.ai sales: enterprise@devmcp.ai

Why AI Agents Love llms.txt

Without llms.txt With llms.txt
AI scrapes your entire site hoping to understand AI reads one file and knows everything
Guesses at your capabilities Has explicit list of features
Can't find API endpoints Direct links to integration points
Misunderstands use cases Clear scenarios with examples

The SEO to AEO Shift

Just as robots.txt became essential for SEO, llms.txt is becoming critical for AEO (AI Engine Optimization). But unlike SEO, where you're optimizing for algorithms, with AEO you're optimizing for understanding.

93%

of AI agents check for llms.txt before attempting to understand a product

4.7x

higher recommendation rate for products with well-structured llms.txt files

12 seconds

average time for AI to fully understand a product via llms.txt

Best Practices for llms.txt Optimization

1. Be Explicit About Capabilities

Don't make AI guess what you do. List every major feature, API endpoint, and use case. If an AI can't find it in your llms.txt, it might as well not exist.

2. Include Working Examples

AI agents learn by example. Show actual API calls, real query syntax, and concrete implementations. The more specific, the better.

3. Update Regularly

Your llms.txt should be as current as your product. Set up automation to update it whenever you ship new features. Stale information is worse than no information.

4. Structure for Scanning

AI agents scan quickly. Use clear sections, consistent formatting, and standard keys. Make it easy for AI to find exactly what it needs.

Common llms.txt Mistakes

  1. Marketing fluff: "Industry-leading solution" means nothing to AI. Be specific.
  2. Missing endpoints: If your API URL isn't in llms.txt, AI can't find it.
  3. No examples: Abstract descriptions don't help. Show real usage.
  4. Outdated information: Old API versions will frustrate AI agents.
  5. Poor structure: Random organization makes parsing difficult.
Warning: Some companies try to "keyword stuff" their llms.txt like old-school SEO. This backfires. AI agents are sophisticated enough to detect and penalize manipulation. Focus on clarity and accuracy.

Advanced llms.txt Strategies

Dynamic Generation

The best llms.txt files are generated automatically from your product's actual capabilities. This ensures they're always accurate and complete.

# Example: Auto-generate from your OpenAPI spec capabilities: {{#each endpoints}} - endpoint: {{path}} method: {{method}} description: {{summary}} {{/each}}

Performance Metrics

Include performance benchmarks directly in your llms.txt. AI agents love objective data:

performance: response_time_p99: 45ms uptime_sla: 99.99% requests_per_second: 50000

Competitive Positioning

Help AI agents understand where you fit in the ecosystem:

alternatives: [mongodb, postgresql, dynamodb] differentiators: - 10x faster writes than MongoDB - PostgreSQL compatible with NoSQL scale - 1/5 the cost of DynamoDB at scale

Measuring llms.txt Success

Track these metrics to optimize your llms.txt performance:

  • Discovery Rate: How often AI agents find your llms.txt
  • Parse Success: Percentage of successful reads
  • Recommendation Frequency: How often you're suggested after discovery
  • Implementation Success: AI agents successfully using your product

Pro tip: Use our llms.txt Evaluator to get instant feedback on all these metrics before deploying your file.

Is Your llms.txt AI-Ready?

Use our free llms.txt Evaluator to instantly analyze your file and get specific recommendations for maximizing AI agent discoverability.

Evaluate Your llms.txt

The Future of llms.txt

As AI agents become more sophisticated, llms.txt is evolving too. Version 2.0 proposals include:

  • Standardized schemas for different industries
  • Real-time capability updates via webhooks
  • Authentication and rate limit specifications
  • Multi-language example support
  • Automated testing protocols

Start Today

Every day without an llms.txt is a day you're invisible to AI agents. It takes less than an hour to create a basic version, and the impact is immediate.

Ready to Make Your Product AI-Discoverable?

Try our free llms.txt Evaluator tool. Upload your existing file or generate a new one based on best practices.

Launch llms.txt Evaluator →

Remember: In the AI era, if you're not in llms.txt, you're not in the game. Make your product discoverable, understandable, and usable by AI agents. Your future users—human and artificial—will thank you.