10 November 2026

Quick answer Write answer-first: state the direct answer in the first two sentences, then support it with specific detail, examples and evidence. Use clear headings that match real questions, short paragraphs, lists and tables, name real authors, and keep facts accurate and current so AI systems can extract and trust your content. Last updated: November 2026 AI search tools reward content that is easy to understand, easy to extract and easy to trust. That sounds like a technical challenge, but it is mostly a writing one. Most business content fails the test for simple reasons: it opens with a long preamble, buries the answer, says little that is specific, and could have been written by anyone. Fixing those habits improves your content for people and for machines at the same time. This guide gives you a practical framework you can apply to any page or blog post, with examples, a pre-publish checklist and the mistakes to avoid. In this guide Start with the question Lead with the answer Use headings that mirror real questions Be specific and evidence-based Structure for extraction Show real experience and expertise Adapting the framework for different page types Write FAQs that are worth quoting Keep it consistent and current A before and after example What to avoid A pre-publish checklist FAQs Start with the question Every strong page answers a specific question for a specific person. Before writing, define who is asking, what they want to know and what they will do next. Collect real questions from sales calls, emails, reviews, Search Console and People Also Ask. AI systems break queries into sub-questions, so a page that answers one question completely and clearly is more likely to be used than a page that tries to cover everything loosely. Lead with the answer Place a direct answer of two or three sentences at the top of the page or section. For example: “Most UK sole traders need an accountant if their records are complex, they are VAT registered or they want help with tax planning. A simple self assessment may not require one.” Then expand. This answer-first pattern helps readers who skim and gives AI tools a self-contained passage to quote. Do not make the reader scroll through background before they find what they came for. Use headings that mirror real questions Headings should reflect how people ask: “How much does a website cost in the UK?” works better than “Website pricing considerations”. Keep headings descriptive, in a logical order, and make each section answer its heading in the first sentence. Avoid clever headings that hide meaning. Both humans and machines use headings as signposts, and descriptive ones improve skimming, featured snippet eligibility and extraction. Be specific and evidence-based Specific statements are quotable; vague ones are not. Replace “prices vary” with a typical range and what drives it. Replace “we have lots of experience” with real numbers, named examples or case studies you can substantiate. Cite sources for statistics and link to them where useful. Do not invent numbers. If you cannot support a claim, remove or soften it. Accuracy is a trust signal, and AI systems increasingly cross-check facts across sources. Structure for extraction Keep paragraphs to two to four sentences. Use bullet lists for steps, features and criteria, and numbered lists for sequences. Use tables to compare options, prices or features. Define terms in a single clear sentence when first used. Add a short summary or key takeaways box near the top. Structure is not decoration. It helps a reader scan, and it gives AI systems clear, bounded chunks that can be lifted without losing meaning. Show real experience and expertise Add author names with credentials, short bios and links to professional profiles. Include first-hand detail: what you did, what you saw, what went wrong and what you learned. Photos, screenshots, process notes and case studies provide evidence that no generic AI output can replicate. For regulated topics such as law, health and finance, show relevant qualifications, keep advice accurate and add suitable caveats. This supports E-E-A-T and gives readers a reason to trust you. Adapting the framework for different page types Service pages should open with a plain summary of what you offer, who it is for, typical cost or range, and the areas you serve, followed by process, proof and FAQs. Location pages should add real local detail and recent work in the area. Pricing pages should explain what is included and what changes the price. Blog posts should answer one question fully, with a quick answer box at the top, descriptive headings, an example and a short list of next steps. Case studies should state the situation, the actions taken and the measured result, with honest figures and the client’s permission. Comparison pages work well for AI search because they provide clear criteria and trade-offs. For example, “Shopify versus WooCommerce for a UK start-up” can set out cost, setup effort, flexibility and who each is best for in a table, with a clear recommendation based on circumstances. Whatever the page type, the principle is the same: say the useful thing first, support it with specifics, make the structure obvious and show who stands behind it. That discipline improves conversion as well as visibility, which is why we apply it to every page we write for clients. Write FAQs that are worth quoting End key pages with five to eight FAQs drawn from real customer questions. Answer each in the first sentence, then add a line or two of context. Keep answers self-contained so they make sense out of context. Mark them up with FAQ schema where appropriate, as covered in our guide to FAQ markup. Keep it consistent and current AI systems compare sources. If your pricing, service descriptions or contact details differ between pages and profiles, you risk being skipped or misquoted. Update dates when information changes, and say when a page was last reviewed. Build a content refresh routine: review your top pages quarterly, update statistics and examples,