llms.txt / AI Crawler Audit Generator

llms.txt / AI Crawler Audit Generator | Online Free Tool | Elysia Tools

Tool usage guide

Learn when to use this tool, what it supports, and how real users apply it.

Key facts

Category: Network
Input types: text, textarea, select
Output type: html
Sample coverage: 4
API ready: Yes

Overview

The llms.txt and AI Crawler Audit Generator creates standardized llms.txt files (v2 specification) and evaluates robots.txt access rules for major AI crawlers including GPTBot, ClaudeBot, PerplexityBot, and Bytespider. Whether analyzing a live URL or an offline inventory, it uses the RFC 9309 matching algorithm to deliver precise crawler allow/block matrices, ready-to-paste directives, and structured markdown previews.

When to use

When preparing your documentation or web content for indexing by LLMs and generative search engines via a clean llms.txt file.
When auditing existing robots.txt files to verify whether AI bots like GPTBot or ClaudeBot can access or are restricted from specific site paths.
When migrating or launching a new site and needing automated section grouping for markdown-formatted page inventories.

How it works

1Input your site URL for live crawling (up to 25 pages with sitemap fallback) or paste your page inventory with URL, title, and description delimiters.
2Provide optional robots.txt directives and configure your project name, summary blockquote, extra notes, and grouping mode (flat or by first path segment).
3The RFC 9309 parser evaluates crawler rules across your paths, generating an interactive audit matrix alongside a valid, copy-ready llms.txt file.

Use cases

Engineering teams structuring technical documentation directories for retrieval-augmented generation (RAG) and LLM indexing.
Technical SEO specialists auditing crawl budgets and disallow policies across commercial AI crawlers.
Content managers drafting llms.txt files to provide clean, summarized context to AI agents visiting their web properties.

Examples

1. Auditing AI Bot Access and Generating Docs llms.txt

Technical SEO Specialist

Background

A SaaS company wants to block GPTBot from scraping internal directories while allowing ClaudeBot to index public documentation.

Problem

Verify that custom robots.txt disallow rules match RFC 9309 correctly across docs paths and create an organized llms.txt file.

How to use

Paste the documentation page list into the pages input, add the raw robots.txt directives into the robots input, set grouping to 'auto', and provide site metadata.

pagesInput: https://example.com/docs/quickstart | Quickstart | CLI Setup
https://example.com/docs/api | API Reference | Endpoint Guide
robotsInput: User-agent: GPTBot\nDisallow: /\n\nUser-agent: ClaudeBot\nDisallow:\ngrouping: auto

Outcome

Receives an audit matrix confirming GPTBot is blocked while ClaudeBot is allowed, along with an auto-grouped llms.txt file with Docs H2 sections.

2. Creating a Flat llms.txt for a Single-Product Site

Indie Developer

Background

A developer is launching a lightweight utility tool and wants AI agents to read its core pages without setting up complex crawler rules.

Problem

Quickly create a standard llms.txt without existing robots.txt restrictions.

FAQ

What standard does the generated llms.txt follow?

It follows the llmstxt.org v2 format, structuring content with an H1 title, a blockquote summary, optional notes prose, and organized H2 page lists.

Which AI bots are evaluated in the robots.txt audit?

The audit specifically matches rules for GPTBot, ClaudeBot, PerplexityBot, and Bytespider, alongside standard wildcard fallback directives.

How does the live crawler handle JavaScript-heavy sites?

The crawler gathers links directly from the homepage and automatically falls back to sitemap.xml to discover up to 25 pages.

What is the difference between auto and flat grouping?

Auto grouping categorizes your page entries into H2 sections based on their first URL path segment (e.g., /docs/, /blog/), while flat grouping outputs everything under a single section.

Can I audit robots.txt rules offline without a live website?

Yes. You can paste both your page inventory and your raw robots.txt content into the offline inputs to test rule matching instantly.

siteName: DataSnap
summary: DataSnap provides zero-config database snapshots.
grouping: flat

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Learn when to use this tool, what it supports, and how real users apply it.

Key facts

Overview

When to use

How it works

Use cases

Examples

1. Auditing AI Bot Access and Generating Docs llms.txt

2. Creating a Flat llms.txt for a Single-Product Site

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