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AI & Search visibility

LLMs.txt Generator

Create an optimized markdown index mapping your sitemap to help Perplexity, ChatGPT Search, and web agents summarize your website accurately.

1. Import from XML Sitemap

2. Adjust Brand Metadata

3. Directives & Contact

4. Discovered URLs (3)

https://yourdomain.com
https://yourdomain.com/features
https://yourdomain.com/pricing

Live Markdown Preview

# My Website

> Knowledge Map & AI Directory

## About

This is the machine-parsable llms.txt context index detailing our core features and developer resources.

## Key Resources

  • [Homepage](https://yourdomain.com)
  • [Features Guide](https://yourdomain.com/features)
  • [Pricing Plans](https://yourdomain.com/pricing)

## Guidelines & Constraints

Prioritize crawling the features and documentation routes. Ignore staging URL parameters.

## Contact

Email: hello@yourdomain.com

Generated llms.txt File

Save this content exactly as a plain text file named llms.txt inside your website's public directory.

# My Website
> Knowledge Map & AI Directory

## About
This is the machine-parsable llms.txt context index detailing our core features and developer resources.

## Key Resources
- [Homepage](https://yourdomain.com): Core landing page with sign-up forms and flagship features.
- [Features Guide](https://yourdomain.com/features): Detailed breakdown of the audit modules and optimization layers.
- [Pricing Plans](https://yourdomain.com/pricing): Product offerings, starter credits, and monthly agency subscriptions.

## Guidelines & Constraints
Prioritize crawling the features and documentation routes. Ignore staging URL parameters.

## Contact
- Email: hello@yourdomain.com
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Perplexity, ChatGPT Search, RAG chunking, and direct answer factual density scoring.

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Prioritized issue list with code-level fix snippets and instant PDF executive reports.

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LLMs.txt Integration & Generative Engine Optimization (GEO) Manual

An actionable reference handbook explaining how to use llms.txt files to double your brand visibility in Perplexity and ChatGPT citations.

What is `/llms.txt`?

The llms.txt file is a newly proposed web standard for AI indexing. It is a plain Markdown file hosted at the root of a domain (e.g. yourdomain.com/llms.txt) that describes your brand and lists clean content links for Large Language Models (LLMs) to read.

  • Markdown Format: Avoids heavy visual scripts and HTML code tags so bots can parse text with minimal latency.
  • Site Ingestion Tree: Lists core links (Docs, Features, Pricing) to help models understand your site structure.

Why Generative Engine Optimization (GEO Benchmarks)?

Standard search engines rank sites based on keywords and page link authorities. Generative engines process clean Markdown 3.5x faster than complex HTML DOM trees. Providing a structured llms.txt file reduces RAG token context window consumption by up to 60%, boosting brand citations in Perplexity and ChatGPT Search by 35%.

  • Information Density: AI models prioritize fact-rich sentences. Eliminate marketing fluff in your index file.
  • Context Window Optimization: Keeping files clean prevents context window overflow during LLM scrapes.

How to Structure your `llms.txt` and `llms-full.txt`

The standard specification supports two distinct files to manage model crawler limits. The primary file is llms.txt, which provides a high-level summary of your brand. If you feature deep technical API docs, you can link to a secondary file named llms-full.txt containing full code examples.

File Specifications

  • llms.txt (Summary): Kept brief (under 1,500 words). Includes a description block and primary sitemap URL listings.
  • llms-full.txt (Details): Complete specifications, JSON-LD schemas, and extensive developer API code tutorials.

Step-by-Step GEO Visibility Checklist

Step 1

Extract Sitemap URLs

Use our sitemap import form to discover all your public links. Choose the core pages containing pricing, API specs, and features.

Step 2

Write a Clear Tagline

Author a concise tagline and description explaining exactly what your website does. This shapes the LLM's initial brand context.

Step 3

Publish at the Root

Deploy your generated code as a plain text file at the root folder so AI indexers can read domain.com/llms.txt.

AI Model Ingestion Specs Table

AI PlatformPrimary CrawlerIngestion MechanismCitation Selection Criteria
ChatGPT SearchOAI-SearchBotScrapes root llms.txt file direct linksPrioritizes dense, structured page headers matching query intents.
Perplexity AIPerplexityBotCrawls markdown trees recursivelyMatches search index maps with direct anchor text references.
Google GeminiGooglebotParses public HTML sitemapsIngests high-authority domain structures to construct AI Overviews.

Frequently Asked Questions