What is AEO (Answer Engine Optimization)?
AEO is the practice of improving how AI systems such as ChatGPT, Gemini, Claude, Grok and Perplexity understand, cite and recommend a company when users ask questions. It works on the evidence those systems consume: clear entity facts, citable content, structured data, crawler access and consistent external sources.
What is the difference between AEO, GEO and LLMO?
They largely describe the same discipline from different angles. AEO (Answer Engine Optimization) focuses on appearing in AI answers, GEO (Generative Engine Optimization) on generative search engines, and LLMO (Large Language Model Optimization) on how language models represent a brand. In practice the methods overlap almost completely, and the terms are often used interchangeably.
Does SEO still matter if AI engines answer directly?
Yes. AI engines retrieve and interpret web pages, so crawlability, speed, structure and useful content remain foundational. AEO extends SEO rather than replacing it: it adds answer-level measurement, entity consistency, citable explanations and external source work on top of a technically sound website.
Why does my company appear in Google but not in ChatGPT answers?
Ranking in classic search does not guarantee presence in AI answers. AI engines synthesize from model knowledge, retrieval systems and third-party sources, and they favor unambiguous entities and verifiable claims. A company can rank well yet be described vaguely or skipped if its facts are inconsistent or its category sources do not mention it.
Can anyone guarantee that an AI engine will recommend my brand?
No. AI answers are probabilistic: the same prompt can produce different results across engines, sessions, locations and time. Serious AEO providers measure with repeated sampling and improve the probability of being mentioned, cited and recommended. Guarantees of a specific answer are a red flag.