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LLM Extractability Analyzer

Score how easily AI assistants can extract answers from your content (0–100). Checks question-style headings, direct first-paragraph answers, fact density, lists and definition patterns — then shows your most quotable passages and what to fix to appear in AI answers.

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About the LLM Extractability Analyzer

The LLM Extractability Analyzer scores how easily AI systems can lift direct, quotable answers from your content — the core skill of Generative Engine Optimization. Paste plain text or raw HTML and get a 0–100 score built from measurable signals: heading structure, question-style headings, sentence length, lists and tables, definition patterns, fact density, whether the first paragraph contains a direct answer, and FAQ patterns. Each signal comes with a pass, warn or fail verdict and one-line advice, and the tool surfaces your top answerable passages — the exact sentences an AI engine is most likely to quote.

This free tool by Hosting Cambodia runs entirely in your browser, so nothing is uploaded anywhere. It is built for content writers, agencies and business owners in Cambodia and Phnom Penh who want their services quoted when customers ask ChatGPT, Perplexity or Gemini a question. Run your key pages through the analyzer, fix the failing signals — shorter sentences, explicit definitions, concrete numbers, a direct opening answer — and re-test until the score turns green.

Frequently asked questions

What does extractability mean for AI search?

It is how easily an AI engine can pull a short, self-contained, factual statement out of your page to use in an answer. Highly extractable content — clear headings, direct definitions, concrete facts — gets quoted and cited; vague, rambling text gets skipped.

Can I paste raw HTML into the analyzer?

Yes. When the input looks like HTML the tool parses it in your browser, strips the tags and also counts structural elements like headings, lists and tables toward your score. Plain text works just as well.

What is the fastest way to raise a low score?

Answer the main question directly in the first one or two sentences, break long paragraphs into short ones, add a small FAQ section with question-style headings, and include specific numbers, prices and dates instead of vague claims.

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