This repository explains how llms.txt can help improve AI discoverability and structured accessibility for modern AI systems like ChatGPT, Gemini, Claude, and Perplexity.
llms.txt is a proposed standard that helps AI crawlers and large language models understand:
- Important website sections
- Structured content locations
- Crawl priorities
- AI-accessible resources
- Sitemap references
As AI-driven search and answer engines grow, websites need better ways to communicate structured information to:
- ChatGPT
- Perplexity
- Gemini
- Claude
- AI search assistants
This improves:
- AI content discovery
- structured crawling
- answer engine visibility
- semantic understanding
- topical indexing
User-agent: GPTBot
Allow: /
User-agent: ClaudeBot
Allow: /
User-agent: PerplexityBot
Allow: /
Sitemap: https://www.productleadership.com/sitemap.xml- AI SEO
- Answer Engine Optimization (AEO)
- Structured Data
- FAQ Schema
- Semantic SEO
- AI Content Discoverability
- Product Management Content Strategy