AEO treats the AI-generated answer, not the search results page, as the unit of visibility. When a buyer asks an assistant for the best provider, tool or approach, the answer is synthesized from model knowledge, retrieved web pages, structured data and third-party sources. AEO works on that whole evidence environment so a brand is named accurately, cited as a source and recommended when it is genuinely relevant.
What AEO work actually involves
- Measuring a baseline with a prompt portfolio run repeatedly across engines.
- Making entity facts (who the company is, what it does, where it operates) consistent on the website, in structured data and across external profiles.
- Publishing citable content: pages that answer real buying questions with verifiable claims.
- Keeping AI crawlers able to access and extract important content.
- Building legitimate presence in the external sources engines already consult for the category.
AEO does not replace SEO. Crawlability, performance and useful content remain the foundation; AEO adds answer-level measurement and entity work on top. The discipline is also known as GEO (Generative Engine Optimization) and LLMO (LLM Optimization); the methods overlap almost completely.
Honest AEO is probabilistic. The same prompt can produce different answers across engines, sessions and phrasings, so serious programs report mention, recommendation and citation rates over repeated samples instead of promising a fixed position.