Answer Engine Optimization (AEO) is an emerging label for technical and editorial practices intended to make answers clear, accessible, structured, and suitable for answer-oriented interfaces. Common work includes question-led headings, direct scoped answers, consistent entities and facts, source attribution, and appropriate schema. The term is not a universal standard, and those practices do not guarantee that ChatGPT, Perplexity, Google, or another provider will crawl, retrieve, rank, quote, or cite a page.
For teams publishing factual answers, the practice matters because consistent structure and attribution make the owned page easier to review and parse, even though provider discovery and selection remain outside the publisher's control.
AEO and SEO overlap
SEO covers broad technical, content, relevance, authority, and search-result work. AEO commonly emphasizes direct-answer formats and generated or rich-answer surfaces. Search rank and an answer citation are separate observations, so neither should be inferred from the other.
EntityMesh supports the owned publishing boundary
EntityMesh can assess bounded structural signals, create source-grounded drafts, require authorized approval, and publish a versioned hosted snapshot through a separate explicit action. Configured monitoring can later record defined provider responses after its own credentials, prompts, plans, schedules, capacity, and execution gates pass.
Run a free diagnostic for a confidence-labelled structural baseline. It does not reproduce a proprietary provider crawler.