Answer-Readiness Checker: 7 Signals That Decide AI Citation

ChatGPT, Claude, and Perplexity don't read your page the way Google does. Google ranks it in a list. An AI assistant hunts for a clean, quotable answer it can lift and cite. A page can rank perfectly in Google and still get skipped by every AI — because it buries the answer under a marketing wind-up that no machine wants to quote. This tool scores the structural signals that decide which way it goes.

What it checks: seven signals

Paste a URL and the tool reads your live HTML, strips out nav, header, footer, and aside so it's judging your real content, then scores seven structural signals — pass or fail, with a reason on each:

1. Concise lead answer — the first substantial paragraph in your main content, and whether it's short enough (≤320 characters) to lift directly. A long, buried opener fails; the tool quotes the first 90 characters back to you so you can see what it found.
2. Question-style headings — H2s and H3s phrased as the questions people actually ask (starting with how/what/why/when, or ending in a question mark). AI matches a user's question to a question-shaped heading.
3. Extractable lists or tables — a <ul>/<ol> with three or more items, or a <table>. Structured chunks an AI can lift verbatim. It reports the largest list it found.
4. FAQ / Q&A schema — JSON-LD FAQPage or QAPage. The single clearest signal of a citable Q&A page, because it spells out which question maps to which answer.
5. Clear definitions — a <dl>, an "X is …" definitional sentence, or "means / refers to / is defined as" phrasing. AI assistants love quoting a clean definition.
6. Concrete specifics — numbers, percentages, prices, dates. The tool counts them; vague marketing copy rarely gets quoted, exact facts do.
7. Enough answer content — at least ~250 words of real body text, because thin pages give an AI little to extract from.

You get a score out of seven and the full breakdown.

Why this is different from an SEO score

Run an SEO audit and you'll get keyword density, backlinks, title tags, crawlability — all aimed at ranking. None of it asks whether your page is shaped so a machine can lift an answer out of it. That's a different optimisation entirely, sometimes called answer engine optimisation (AEO), and the mechanics genuinely differ.

Here's the concrete gap: classic SEO rewards a page that's comprehensive and keyword-rich. AEO rewards a page that states the answer plainly, up top, in a structure a machine can extract — a concise lead, question headings, lists, a clean definition, hard numbers. A 2,000-word page can rank well and still fail every one of those signals because it opens with three paragraphs of brand story before getting to the point. An SEO tool calls that page healthy. This tool tells you why an AI would skip it.

The honesty built into the scoring

Every check is a heuristic read of your live HTML, and a pass means the signal is genuinely present — not a trick, not a checkbox you can game with a hidden div. The lead-answer check actually measures the length of your first real paragraph. The specifics check actually counts your numbers and dates. The FAQ-schema check actually parses your JSON-LD for the right @type. When something fails, the reason tells you precisely what was missing and how to fix it in plain terms.

And I'll say plainly what the tool can't promise.

What it does not do

• It cannot guarantee a citation. AI assistants weigh many signals, including how trustworthy your whole site looks and your off-page authority. This tool measures eligibility — whether your page is even in the running. Pages that fail these signals rarely get cited; passing them puts you in contention, not in the answer for certain.
• It checks one page, the URL you paste — not your whole site.
• It scores structure, not truth or quality. It can confirm you led with a concise answer; it can't tell you the answer is correct or compelling. That's on you.
• It's a heuristic read, not a guarantee of how any specific model parses your page. Different assistants weight things differently.

What you'll see when you run it

A score — say 4/7 — and the seven checks as a list, each with a green tick or red cross and a specific reason. "First real paragraph is 180 chars — short enough to lift directly," or "No FAQPage/QAPage JSON-LD found. This is the single clearest signal of a citable Q&A page." The red crosses are your fix list, and most of them are writing-and-formatting changes, not code: lead with the answer, turn headings into questions, break facts into bullets, add numbers. The one technical item — FAQ schema — is a snippet a developer adds in minutes.

Re-run it after a fix. The tool reads the live page, so improvements show up as soon as you deploy.

Who should run this

Anyone publishing content meant to answer something — guides, FAQs, service explainers, comparison pages. If you're investing in content and wondering why AI assistants quote competitors instead of you, this shows you the structural reasons, page by page.

Score your answer-readiness on your most important content page and fix the red items first. To score every page at once, with the exact fixes ranked by impact, that's the full AUDXY audit.