LLMs.txt
The site map for language models.
llms.txt is a single Markdown file at /llms.txt that gives LLMs a curated, token-efficient map of a site's most important documentation, bypassing the noise of full HTML pages. AI engines and the agents feeding them ingest it deterministically, raising the chance your canonical content is the version they cite.
Geordy generates this format for every page on your site that warrants it - auto-detected by page type, served from your subdomain, and refreshed on the cadence below.
# Geordy > https://geordy.ai ## Purpose Optimize websites for AI-powered search engines. ## Paths /features: Platform features /pricing: Pricing plans /formats: All 16 formats
How to make this format work for AI.
- Place the file at the root: https://yourdomain.com/llms.txt (and optionally an expanded /llms-full.txt with inlined content).
- Open with an H1 (site name), then a blockquote one-line summary, then short prose context, then H2 sections of links - strict spec order.
- Each link should be `[Title](url): short description` and point to clean Markdown versions of pages where possible (e.g. /docs/foo.md).
- Curate, don't dump. Use an Optional H2 section for material that can be skipped under tight context.
- Treating it like a sitemap.xml dump - listing every URL defeats the curation purpose and wastes the model's context.
- Linking to JS-heavy HTML pages instead of plain Markdown/text equivalents the LLM can actually parse cheaply.
- Skipping the required structure (H1 + blockquote + H2 link sections); ad-hoc Markdown breaks tools that parse the spec strictly.
Use cases, scored for AI visibility.
Communicate site purpose in clear, unambiguous language to AI systems.
Help AI understand organization and navigation for multi-section sites and knowledge bases.
Provide explicit context for niche sites and specialized content categorization.
Real sites already shipping LLMs.txt.
Tools & resources for LLMs.txt.
- Zero ambiguity - tells AI exactly what your site does
- No HTML noise or visual formatting to confuse models
- Simple format any AI system can parse instantly
- Improves likelihood of being cited in ChatGPT, Claude, and Perplexity answers