ChatGPT, Perplexity, and Google AI Overview are becoming the front page. AI Readiness scores your page the way an AI assistant reads it — retrieval, extractability, structure, and the AEO/GEO signals that decide whether you get found, extracted, and cited.
See whether an AI's retrieval step would even surface the right chunk of your page for a real question — and whether the answer inside it is stated clearly enough to extract, not buried in the wrong sentence.
Heading hierarchy, paragraph length, HTML cleanliness — the same signals that decide whether a crawler, including an LLM's own retrieval pipeline, can parse and split your page at all.
Schema.org author/date/FAQPage/HowTo markup, outbound citations, and vague-claims detection — the concrete structural factors AI assistants weigh before trusting and citing a source.
Checks whether each paragraph actually answers the question its own heading asks, in the first sentence — the single most consistently cited AEO content pattern.
Extracts the subject-predicate-object facts your page actually states and flags grammar issues, so you know exactly what an AI could confidently repeat about your content — and what it can't.
Every weak spot becomes a concrete "add this / rewrite that" recommendation, ready to export straight to Excel, Word, or PDF for a content team.
Works on a live page, a raw HTML export, or plain text — an informational article or a catalog/product page.
No paid API required: local BERT-based NLI models and embeddings do the semantic scoring. Bring your own local model or OpenAI key for an even deeper pass.
Every weak topic and heading turns into a concrete recommendation, ranked by how much it would move your score.
One AI Readiness check is free, no card required
After that it's a simple monthly subscription. Questions about it? Message the author directly.
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