Answer Engine Optimization
Make selected pages easier to use as direct answers by matching real questions with concise, accurate, well-structured information.
A clear process, from evidence to action.
We agree the project scope and inputs first. The steps below describe the work itself, including what is reviewed, changed, and checked afterward.
Collect the questions people actually ask
Use agreed customer, sales, support, and search inputs to define the question set. Identify which answer experiences matter for the project, such as featured answers, AI summaries, or conversational assistants.
Check answer readiness and factual support
Review the relevant pages for question coverage, clarity, crawlability, entity consistency, and supporting evidence. Check current answer results and visible citations where the selected platform provides them.
Match each question to a useful source page
Build a question-to-page map, resolve overlaps, and identify missing information. Plan a direct response first, followed by the context, qualifications, examples, and sources a reader needs to trust it.
Restructure and improve the content
Edit headings, opening answers, explanations, comparisons, and supporting details so the page is easy to scan and fact-check. Validate existing structured data and specify markup changes only where the page content supports them; implementation is subject to scope.
Test the agreed answers and revise
Revisit the same question set on the selected answer surfaces, recording platform and date. Compare whether answers are present, accurate, and sourced, then use observed gaps to guide the next revision. Inclusion is not guaranteed.