The Agent Readiness Audit tests whether AI crawlers — GPTBot, ClaudeBot, PerplexityBot, GoogleOther, Bytespider — can access, parse and accurately extract your content. Traditional SEO ranks you in Google; agent readiness gets your content into ChatGPT, Claude, Perplexity, Gemini and the answer engines users increasingly query before they ever see a SERP. This index covers every fix.
The audit raises issues across these areas. Pick yours below:
robots.txt disallows GPTBot, ClaudeBot or PerplexityBot, AI answer engines cannot index your content — even if Google can. The trade-off between AI training opt-out and AI-search visibility, and how to allow the search bots while blocking the training bots./llms.txt standard tells LLMs which content matters and how to consume it. Where to put it, what to include, common patterns for documentation sites, e-commerce, blogs and SaaS marketing sites.@graph pattern for combining multiple types, and how to validate.<article>, <section>, <nav>, <main>, <header>, <footer> as structural cues. Wall-of-div pages confuse extraction. How to refactor div-soup templates to semantic HTML5 without breaking visual design.<div> grids. The reader-mode test: if Firefox Reader Mode shows nothing, LLMs see nothing.How agent-readiness fixes apply depends on where your content lives:
The audit emulates AI crawler requests with the actual user agents (GPTBot, ClaudeBot, PerplexityBot, etc.), checks robots.txt and llms.txt, evaluates JSON-LD coverage, scores semantic HTML structure, tests JavaScript-rendering dependence and measures content extractability. For the complete reference, see the Agent Readiness Guide or view a sample report.
Free audit. See exactly which AI crawlers can reach you, which structured data is missing, and which content is invisible to LLMs.
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