llms.txt Manifest Generator for AI Search & GEO
Build a clean, standards-compliant /llms.txt Markdown index so ChatGPT Search, Perplexity,
Claude, and coding agents accurately retrieve and cite your documentation.
Generative Engine Optimization (GEO): Structure of llms.txt
Unlike XML sitemaps designed for search engine spiders that crawl thousands of URLs asynchronously, AI retrieval agents
operate under strict real-time context window budgets. Following the llmstxt.org specification, placing a
curated Markdown file at https://yourdomain.com/llms.txt provides three high-signal elements:
- H1 Document Header (
# Title): Identifies the canonical name of your product or documentation hub. - Blockquote Summary (
> Summary): Gives answer engines an authoritative one-sentence description for citations. - Annotated Section Links (
- [Title](url): note): Directs retrieval agents to your core Markdown/HTML reference pages.
Deployment Checklist for Next.js, Astro, WordPress & Shopify
Keep your root llms.txt manifest concise (under 2,000 tokens) and verify its token footprint in our
LLM Token Cost Calculator. Pair it with explicit Allow: / rules
for GPTBot, ClaudeBot, and PerplexityBot inside robots.txt.