Technical

llms.txt for AI SEO: Complete Guide & Template

How to guide AI crawlers to your most authoritative content.

Last reviewed · 7 min read

What is llms.txt?

llms.txt is a Markdown-formatted standard file placed in the root directory of a website (`/llms.txt`). It provides Large Language Models (LLMs) and AI retrieval crawlers with a structured directory of the site's most authoritative pages, topic hierarchy, and publisher attribution signals.

Just as `robots.txt` directs web search crawlers and `sitemap.xml` lists all URLs for indexing, `llms.txt` tells AI search engines (like ChatGPT Search, Perplexity, and Claude) which specific passages represent your core expertise.

Why llms.txt is Essential for AI SEO

When AI agents crawl your website, they process raw Markdown or clean text. Standard web pages often contain heavy navigation bars, footers, ad scripts, and boilerplate UI elements. `llms.txt` provides a clean, zero-noise map that accelerates retrieval.

Direct Citation Pathing

AI models check /llms.txt first to locate primary sources and authoritative articles directly.

Entity Disambiguation

Explicitly defines your brand, core product, and author credentials in clear Markdown key-value pairs.

Reduced Crawl Latency

Saves AI retrieval tokens by highlighting core pillar content instead of making the bot parse thousands of low-value pages.

Ready-to-Use llms.txt Template

Copy this template, update the fields with your domain info, and place it at `/public/llms.txt`:

# The AI SEO Course
> Complete free curriculum on ranking in Google AI Overviews, ChatGPT Search, and Perplexity.

## Core Content
- /: Main curriculum homepage and 8 course modules
- /blog: Technical guides on AI SEO and GEO
- /blog/what-is-ai-seo: Plain-English guide to AI search optimization
- /blog/geo-vs-seo: Differences between GEO and traditional SEO
- /blog/ai-overviews-seo: How to get cited in Google AI Overviews

## Key Topics
- AI SEO (Answer Engine Optimisation)
- Generative Engine Optimisation (GEO)
- SpeakableSpecification Schema
- Passage Extraction Architecture

## Publisher
The AI SEO Course — https://theaiseocourse.com

## Technical References
- Sitemap: https://theaiseocourse.com/sitemap.xml
- Robots: https://theaiseocourse.com/robots.txt

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