Ten highest-value pages reshaped to be quoted by search and by AI at once

1. 01

   Select the ten pages and the buyer questions each one must answer

   The ten pages that carry the most commercial weight, the core service, treatment, and location pages, are selected, and for each the real questions a buyer asks that the page should own are established. Headings phrased as the question people actually type, such as "How much does a treatment cost" rather than "Pricing overview", match the query directly and are more likely to be retrieved (Frase and Jasper, AEO and GEO guides, 2026). The page set and target questions are confirmed with you before any rewriting begins.

2. 02

   Rebuild each page into answer-first passages

   Every priority section is reshaped into the workhorse shape: the buyer question as a heading, the direct answer in the first sentence or two below it, then elaboration and proof. Retrieval systems lift the top of a passage, so leading with the answer is what makes a section quotable. Sections are kept self-contained, roughly a couple of hundred words each, because an engine and a buyer both need that block to stand alone.

3. 03

   Add the quotable substance engines retrieve

   Passages that get cited contain verifiable, liftable facts: specific figures, named sources, defined terms and concrete outcomes. The real, true substance of your business is worked into each answer, attributed where a figure comes from a third party, so the passage carries something an engine can quote with confidence rather than a wall of generic prose.

4. 04

   Structure for retrieval with lists, tables and clean formatting

   Comparisons become tables, steps and criteria become lists, and definitions get their own tight paragraph, because these formats map to how engines extract and how snippets display. A well-formed comparison table or a crisp definition is often the exact block a snippet or an AI answer reproduces. Formatting here is engineering for retrieval, not decoration.

5. 05

   Wire the internal links and on-page signals

   The reshaped pages are connected into a coherent topic cluster with descriptive internal links, titles, headings, and meta descriptions are tightened to the confirmed questions, and heading hierarchy is verified clean. This holds the pages together as a topic an engine can read as authoritative, rather than ten isolated pages.

6. 06

   Review, verify and hand back

   Every reshaped page is read by a technical specialist against the intent it has to serve, checked for accuracy and voice, and confirmed to render and index cleanly. You receive the ten pages ready to publish, with a short note on what changed and why. The work is written and reviewed by a person, never auto-produced.

You see the full deliverables and cadence first, then a price built for your business, confirmed in writing.

• Frase.io, Answer Engine Optimization: Complete AEO Guide, 2026 (modern answer engines use retrieval-augmented generation to select and extract specific passages; question-and-answer format maps to how AI systems retrieve; RAG passages of roughly 200 to 400 words)
• Jasper, GEO vs AEO vs SEO Guide, 2026 (structure every H2 as a self-answering chunk of roughly 150 to 400 words; question-based headings are more likely to be cited than generic ones; open each section with a short self-contained answer)
• Google Search Central, Guide to Optimizing for Generative AI Features on Google Search (AI features run on the core index and ranking systems; no special markup required for AI Overviews; Search does not use llms.txt)
• GEO: Generative Engine Optimization, Aggarwal et al., KDD 2024, arXiv:2311.09735 (direct quotation from credible sources and concrete cited statistics were the strongest levers; keyword stuffing performed at or below baseline)
• web.dev, Core Web Vitals, Google (field thresholds referenced by the wider method: LCP at or under 2.5s, INP at or under 200ms, CLS at or under 0.1 at the 75th percentile)