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AI-Agent Readiness Checker

Run a page through the checks that decide whether AI agents and assistants can access, parse and cite it: AI-crawler access in robots.txt, llms.txt and sitemap discovery, structured data, semantic HTML and content extractability. Get a 0-100 score, a prioritized fix list, and a generated llms.txt ready to deploy.

⚡ Interactive demo — sample data
AI-Agent Readiness score: 74/100. Some gaps — fixable wins are blocking full AI-agent readiness.
AI crawler access GPTBot, ClaudeBot, PerplexityBot, Google-Extended and CCBot are all allowed in robots.txt Looks good
Discovery files No /llms.txt found — a ready-to-deploy one was generated for download Warning
Structured data 1 JSON-LD block, 2 distinct types: SearchAction, WebSite Looks good
Semantic HTML 4/4 landmarks found, but 5 H1 tags detected — should be exactly one Warning
Content extractability 976 words visible without running JavaScript — no JS-rendering risk detected Looks good
Machine-parsing basics Title and meta description are solid; canonical URL is not set Warning

About this tool

Run a page through the checks that decide whether AI agents and assistants can access, parse and cite it: AI-crawler access in robots.txt, llms.txt and sitemap discovery, structured data, semantic HTML and content extractability. Get a 0-100 score, a prioritized fix list, and a generated llms.txt ready to deploy.

How it works

Enter your page URL
Paste any public URL and run the check. We fetch the page's HTML plus a few sidecar files at your domain root — robots.txt, llms.txt, and sitemap.xml — the same files AI agents look for before they ever read your content.
Review your AI-Agent Readiness score
You get a 0–100 score across seven axes: AI-crawler access, discovery files, structured data, semantic HTML, content extractability, machine-parsing basics, and a prioritized list of exactly what to fix, ranked by impact.
Deploy the generated llms.txt
We build a ready-to-use llms.txt from your actual navigation and page content — organized into Main Pages, Key Content, and Optional sections per the llms.txt spec — that you can download and upload straight to your domain root.

What we check

  • AI crawler access (robots.txt) — Checks whether GPTBot, ClaudeBot, PerplexityBot, Google-Extended, and CCBot are allowed or blocked from crawling your site. A blocked bot means that AI assistant can never read or cite your content, no matter how good it is.
  • llms.txt presence — llms.txt is an emerging standard — a plain-Markdown file at your domain root that gives AI assistants a curated map of what your site is and which pages matter most, instead of making them guess from a full crawl.
  • sitemap.xml presence — Confirms a sitemap exists and is referenced from robots.txt, so both search engines and AI crawlers can discover every page on your site without relying purely on internal links.
  • Structured data (JSON-LD) — Counts your JSON-LD blocks and the distinct schema.org types they declare (Organization, Product, FAQPage, Article, and more). Structured data gives AI assistants machine-readable facts instead of forcing them to parse prose.
  • Semantic HTML landmarks — Checks for real <header>, <nav>, <main>, and <footer> elements (or their ARIA-role equivalents). These landmarks let an AI agent instantly separate your primary content from navigation and boilerplate.
  • Heading hierarchy — Confirms a single, clear H1 and a heading structure with no skipped levels, so the topic and sub-topic structure AI extracts matches the structure you actually intended.
  • Content extractability — A text-in-raw-HTML word count, a text-to-HTML ratio, and a JavaScript-rendering risk heuristic. Most AI crawlers fetch raw HTML and do not execute JavaScript — content that only appears after a client-side render is invisible to them.
  • Machine-parsing basics — Title tag, meta description, canonical URL, and an HTML lang attribute — the first things any parser, human or machine, reads to understand what a page is and where it lives.

Common issues we catch

  • AI crawlers blocked without realizing it — A boilerplate robots.txt copied from another project, or a security plugin's 'block bad bots' preset, can silently disallow GPTBot, ClaudeBot, or PerplexityBot. Your site can rank perfectly in Google and still be invisible to every AI assistant.
  • No llms.txt at all — Most sites have never heard of llms.txt. Without it, AI assistants have to infer your site's purpose and key pages from a full crawl — slower and less reliable than being handed a clean, curated map.
  • Content trapped behind client-side rendering — Single-page apps (React, Vue, Next.js client components) that render their real content only after JavaScript executes leave AI crawlers — which typically fetch raw HTML — looking at an empty shell.
  • Structured data missing or type-thin — A site might have one generic JSON-LD block and stop there. Without Organization, Product, FAQPage, or Article markup, AI assistants have no structured facts to extract and fall back on unreliable prose-parsing.
  • Multiple H1s or missing landmarks — Page builders frequently wrap the logo, hero banner, and page title all in H1 tags, or skip semantic elements entirely in favor of generic <div>s. AI agents lose the clear signal of 'this is the main content' vs. navigation chrome.
  • No sitemap, or one not referenced from robots.txt — A sitemap.xml that exists but is never declared with a 'Sitemap:' line in robots.txt is effectively undiscoverable to any crawler that doesn't already know the URL.
  • Thin or bloated pages — Pages with very little visible text relative to their markup and script weight — common on template-heavy sites — give AI assistants too little substance to reliably summarize or cite.

Where this matters

  • ChatGPT (OpenAI) — GPTBot, OAI-SearchBot, and ChatGPT-User are the crawlers behind ChatGPT's training, search, and live-browsing features respectively. This checker verifies your robots.txt policy for all three.
  • Claude (Anthropic) — ClaudeBot is Anthropic's crawler. If it's blocked, Claude cannot read or cite your site when answering user questions that touch on your business or content.
  • Gemini & Google AI Overviews (Google) — Google-Extended controls whether your content can be used for Gemini and AI Overviews specifically — separate from the standard Googlebot that powers classic Search.
  • Perplexity — PerplexityBot is Perplexity's dedicated crawler for its answer-engine results. Perplexity leans heavily on live citations, making crawl access especially important.
  • Common Crawl-derived models — CCBot feeds the open Common Crawl dataset, which numerous AI models (beyond the big four) train on or reference. Blocking it removes you from that entire downstream ecosystem.
  • llms.txt-aware tools — llms.txt is a community-driven, still-emerging convention (llmstxt.org). Support varies by tool today, but publishing one costs nothing and future-proofs you as more AI products adopt it.

Frequently asked questions

What is AI-Agent Readiness?
It's how easily an AI assistant — ChatGPT, Claude, Gemini, or Perplexity — can crawl, parse, and accurately cite a page. It combines crawler access (robots.txt), discovery files (llms.txt, sitemap.xml), structured data, semantic HTML, and whether your actual content is present in the raw HTML response.
What is llms.txt?
llms.txt is a proposed standard (see llmstxt.org): a plain-Markdown file at yoursite.com/llms.txt that gives AI assistants a concise, curated summary of your site and links to your most important pages — similar in spirit to robots.txt or sitemap.xml, but written for language models instead of crawlers or search engines.
Do I need to choose between blocking AI bots and SEO?
No — allowing AI crawlers has no impact on your Google or Bing rankings. It's a separate, independent decision about whether you want your content to be readable and citable by AI assistants. Blocking protects content from being used in AI training or answers; allowing it maximizes your chance of being the source AI recommends.
Why does content extractability matter if my page looks fine in a browser?
Most AI crawlers fetch a page's raw HTML and do not execute JavaScript the way your browser does. If your real content is injected client-side (common in single-page apps), a human sees it fine but an AI crawler sees an empty shell. The fix is server-side rendering or pre-rendering your primary content.
How is this different from a regular SEO audit?
Classic SEO focuses on ranking in search results. AI-Agent Readiness focuses on a narrower, newer question: can an AI assistant actually fetch, understand, and quote your content correctly when a user asks it something related to your business? Some overlap (structured data, headings) but the crawler-access and llms.txt checks are AI-specific.
Will publishing an llms.txt guarantee AI assistants mention my site?
No single file guarantees citation — that also depends on your content's relevance and authority for a given query. What llms.txt and the other checks here do is remove the technical barriers so that when your content IS the right answer, AI assistants can actually access, parse, and cite it.
Do I need separate JSON-LD for AI assistants versus search engines?
No — the same schema.org structured data (Organization, Product, FAQPage, Article, etc.) that helps Google build rich results is exactly what AI assistants use to extract reliable facts about your business. One well-built implementation serves both.
How often should I re-check AI-Agent Readiness?
Re-run it after any redesign, CMS migration, or robots.txt change — those are the most common ways a site accidentally blocks AI crawlers or breaks server-rendered content. Otherwise, checking quarterly is reasonable since the underlying standards (like llms.txt) are still evolving.

This is one of several free SEO tools from Custom Web Audits. For a complete, prioritized analysis of your whole website, run a full audit.