Built as a focused GEO workstream, not a generic SEO add-on.

Most websites were written for humans and search snippets: paragraphs that answer implicitly, claims without supporting structure, and pages that read well but extract poorly. AI engines need content segmented into clean, attributable answer units — and rewriting every page manually does not scale.

Content optimisation for AI search is the page-level discipline behind AI visibility. It answers a practical question: when an AI engine reads your page, can it lift a clean, attributable answer out of it?

The extraction principle

AI engines segment pages into answer units — claim, evidence, context. A page that delivers those units cleanly is retrievable and citable. A page that buries its claims in narrative gets retrieved as a possibility and discarded as a source. Our rewrites are built around the extraction principle: every section should be liftable without its neighbours.

What changes in a rewrite

  • Claims move first — the answer appears at the top of its section, not after context.
  • Evidence follows claims — data, methodology, and named sources support each claim.
  • Headings become questions and answers — structure that maps to how engines segment content.
  • Boilerplate is removed — filler that dilutes extraction is cut or relocated.
  • Entities stay explicit — organisation, product, and person references remain unambiguous.

What does not change

We preserve the page’s URL, its search intent, and its factual content. The rewrite improves structure, not substance. This matters for equity: a page that ranked keeps its URL and intent, now with better extraction.

Content optimisation provides the extractable canvas that AI Answer Optimisation structures for specific prompts, and that AI Citation Building turns into cited sources. Prompt Optimisation identifies which pages deserve the rewrite first.

From audit to AI visibility improvements

Extraction audit

We score how cleanly your current pages extract into answer units across engines.

Page prioritisation

We rank pages by commercial value and retrieval gap to sequence the rewrite work.

Answer-unit rewriting

We restructure content into extractable units: claims first, evidence following, attribution explicit.

Retrieval re-testing

We re-test the rewritten pages across engines and refine until extraction improves.

Deliverables

  • Extraction audit and scoring of priority pages
  • Prioritised rewrite roadmap
  • Answer-unit restructured content
  • Heading and structure optimisation
  • Claim-evidence pairing improvements
  • Retrieval re-testing with documented results

Frequently Asked Questions

It is the practice of restructuring existing content so AI engines can extract clean, attributable answers from it — answer-first structure, explicit claims, and evidence-rich sections.
Answer optimisation structures specific question-answer units for target prompts. Content optimisation is the page-level rewrite that makes entire pages extractable — answer optimisation is applied within that rewritten structure.
We preserve URLs, headings' topical intent, and the core facts of each page. The restructuring improves extractability for AI engines while keeping the page's search intent intact. Rankings are monitored before and after.

Start with a free GEO audit.

We'll show you where your brand is missing from AI-generated answers and what to fix first.