Make your page quote-ready for AI.

Why answer blocks?

LLMs don't cite paragraphs — they cite extractable answers. A page can rank #1 on Google and still never be quoted by ChatGPT because no sentence is a clean, self-contained answer to the question a user actually asked. Answer blocks fix that three ways:

• A real question — every section heading becomes the question users (and models) actually phrase, so your content matches the prompt.
• A ≤45-word answer — the proven extraction length. Lead with the direct fact and a model can lift it verbatim, with attribution to you.
• FAQPage schema — the structured-data layer answer engines parse. Google retired FAQ rich results, so this is now a pure AI-citation signal.

If the AI answers the question, why would anyone click through?

Many will not, and pretending otherwise would be dishonest. The trade is that a cited source is named in front of someone who is actively asking about your subject, which is a different and usually better audience than an impression. The practical response is to write blocks that answer the question fully while making the page worth opening anyway — the full dataset, the tool, the worked example, the thing a 45-word quote cannot contain.

Will this make my page read like an FAQ?

Only if you let it. An answer block is a heading and a direct opening sentence — the rest of the section can be as long and as discursive as it already was. The discipline is putting the answer first and the context after, which tends to make a page better for human skimmers as well.

How many blocks per page?

One per genuine sub-question, and no more. Stacking a dozen invented questions onto a thin page is the spam pattern search engines already penalise, and it does not help extraction either — a model lifts one clean answer, not a wall of them. Ship one FAQPage schema block per page, built from questions people actually ask.