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Tools for llms.txt and AI Crawler Readiness

The tools that check, write and monitor llms.txt and AI crawler access: free checkers, robots.txt testers, CDN bot settings, structured data validators and server-side crawler tracking. What each one tells you and what it misses.

LLM Scan Team Published October 8, 2026

The short answer

The tools for llms.txt and AI crawler readiness fall into five groups: an llms.txt checker, a robots.txt reader that understands AI user agents, your CDN or firewall bot settings, a structured data validator, and server-side crawler tracking that shows which AI bots actually visit. LLM Scan's free llms.txt checker and AI readiness scanner cover the first, second and fourth in one run, and drafts an llms.txt, robots.txt additions and JSON-LD when something is missing.

The tools at a glance

ToolWhat it checksWhat it missesCost
LLM Scan llms.txt checker and scannerllms.txt quality, robots.txt for 6 AI crawlers, sitemap, JSON-LD, raw HTML, Markdown supportWhole-site crawl, JavaScript rendering, firewall blocks, OAI-SearchBotFree, no account
curl with an AI user agentWhat your server or CDN returns to a given user agentReal crawler IPs, so a pass is not proofFree
Google Search Console robots.txt reportWhether Google can fetch and parse robots.txtRules for non-Google AI crawlersFree
CDN and firewall bot settingsWhether AI bots are blocked or challenged before robots.txtWhat the bots do with your contentIncluded with your CDN; check your provider
Rich Results Test and Schema.org validatorJSON-LD validity and eligible rich resultsWhether the markup matches your positioningFree
Server logs or LLM Scan crawler trackingWhich AI crawlers really visit, which pages, which status codesWhether AI answers mention youFree with your logs; tracking needs an LLM Scan workspace
AI visibility platforms with crawl audits (for example Peec AI)Crawlability across many AI bots, next to answer trackingCheck their docsCheck their pricing page

1. An llms.txt checker

llms.txt is a short Markdown file at /llms.txt that points language models to your important pages. It is an emerging convention, so check that yours is useful rather than just present. LLM Scan's checker passes a file that is served as text, has more than 200 characters, at least one heading and at least one absolute URL, and drafts one for you when it fails. Review the draft before publishing: it should link your product, pricing, docs and policy pages, not every URL.

2. A robots.txt reader for AI user agents

Generic robots.txt testers often only evaluate Googlebot. For AI readiness you need the rules for each AI crawler by name, because a crawler follows the group that names it and ignores the * group. LLM Scan reads the groups for GPTBot, ChatGPT-User, ClaudeBot, Claude-Web, PerplexityBot and Google-Extended, fails the scan when one is blocked from the whole site, and warns about blocks on public sections and formatting errors. Check OAI-SearchBot by hand if ChatGPT search matters to you.

3. Your CDN and firewall

robots.txt is a request; your CDN decides what gets through. Many CDNs and security tools can block or challenge AI bots, sometimes by default. Look in your provider's bot settings, then test with curl:

  • curl -I -A "Mozilla/5.0 (compatible; GPTBot/1.2)" https://yoursite.com/

A 403 or a challenge page means something in front of your site blocks that user agent. Our guide on checking GPTBot and ClaudeBot access covers the details.

4. A structured data validator

Google's Rich Results Test and the Schema.org validator tell you whether your JSON-LD parses. LLM Scan passes structured data when a valid JSON-LD block includes Organization or WebSite, and drafts the markup when it is missing.

5. Server-side crawler tracking

The only proof that AI crawlers can reach you is a real visit. Analytics scripts cannot see crawlers because crawlers do not run JavaScript. Read your access logs, or report visits from your server: in an LLM Scan workspace each monitored domain gets a site token and snippets for Next.js, Cloudflare Workers and plain HTTP. It recognizes GPTBot, ChatGPT-User, OAI-SearchBot, ClaudeBot, Claude-User, Claude-SearchBot, PerplexityBot, Perplexity-User, Meta-ExternalAgent, cohere-ai and Bingbot, and shows which pages they requested.

Readiness is not visibility

All of these tools answer one question: can AI read your site? None tells you whether ChatGPT or Perplexity recommend you. For that you need to track the answers to your buyers' questions; see the best tools to track brand visibility in AI search. For the full step-by-step check, read how to check whether your website is ready for LLMs.

Questions and answers

How do I check my llms.txt file?
Open yoursite.com/llms.txt and make sure it is plain text or Markdown with a heading, a short description and absolute links to your key pages. LLM Scan's free llms.txt checker tests this and drafts a file if yours is missing or thin.
Does llms.txt help me appear in ChatGPT?
Not on its own. llms.txt is an emerging convention that some tools read. Crawler access, server-rendered content and useful pages matter more. Treat llms.txt as a cheap extra, not a ranking signal.
How can I see which AI crawlers visit my site?
Search your server logs for AI user agents such as GPTBot, OAI-SearchBot, ClaudeBot and PerplexityBot, or report visits from your server with a crawler tracking snippet. Browser analytics will not show them.
Is there a free AI crawler readiness checker?
Yes. LLM Scan's scan is free without an account and checks robots.txt for 6 AI crawlers, llms.txt, sitemap, structured data, semantic HTML, Markdown support and content signals.
Can I generate an llms.txt automatically?
Yes. LLM Scan drafts one when the check fails, and some CMS plugins generate one. Always edit the result so it lists your most useful pages and stays accurate.

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LLM Scan runs the questions your customers ask through AI assistants such as ChatGPT and Perplexity, and checks your Google rank and AI Overview citations for the keywords you track. Every week you get one report: mention rate and position by assistant, prompts won and lost, share of voice against competitors, the sources AI cites, and the 3 things to fix next.

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