Pages that work
Build pages that answer what buyers actually ask
A simple way to write pages that answer real buyer questions. AI loves these. So do customers.
Updated 2026-04-25 · 6 min read
Start with real buyer questions
Do not ask AI to invent the whole library. Pull questions from sales calls, support emails, intake forms, reviews, search queries, competitor pages, and chat transcripts.
- Group questions by service, buyer stage, objection, and location.
- Prioritize questions tied to revenue, trust, pricing, process, and timing.
- Keep generic glossary content below commercial answers.
Make each answer extractable
Each answer should be useful as a standalone block. The heading should ask the question, the first sentence should answer it, and the supporting copy should add context or proof.
- Aim for concise answer blocks before deeper explanation.
- Use bullets, steps, tables, and examples where they reduce ambiguity.
- Link each answer back to the relevant service, location, or conversion page.
Turn the library into site architecture
The answer library should not sit isolated. It should support the homepage, service pages, location pages, and trust pages with clear internal links.
- Link from service pages into supporting questions.
- Link from answers back to money pages with descriptive anchors.
- Refresh the library when sales objections or market language changes.
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