Standard Definition
Answer Engine Optimization (AEO) describes the discipline of systematically optimizing web content with the goal of being cited as a source by AI answer systems such as Google's AI Overviews, ChatGPT, Claude, or Perplexity. Unlike classical search engine optimization (SEO), whose goal is position in a result list, AEO focuses on the answer-retrieval layer — the moment in which an AI system decides which source to draw on for a concrete factual question, definition, or recommendation and names it in the generated answer text. The operative levers are a structured opening sentence per section, concise definitions, clearly demarcable fragment citations, semantically clean HTML structure, and entity consistency. Google added the term to its own Search Central documentation in May 2026 and positions AEO from Google's perspective as still part of SEO — a position that remains secondary for operative practice because ChatGPT, Claude, and Perplexity want to be optimized for different signals than the classical Google result list.
Related term: Generative Engine Optimization (GEO) is widely used synonymously. GEO is the broader, older term from academic research — it encompasses optimization for generative AI systems overall. AEO is more specifically focused on the answer-retrieval layer. In operative mandate practice, the work is largely identical.
What this means in mandate practice
In mandate practice, AEO means a second optimization layer on top of classical SEO work. Content must not only rank (a necessary condition — AI systems draw primarily from top-ranking sources) but also be citable.
Concrete levers from ongoing mandates: a clear definitional sentence in the first paragraph of each section that makes sense in isolation; lists instead of narrative prose for factual content; tabular data where comparisons are involved; consistent entity naming (brand, product, person — always written the same way); current update dates on substantial pages, because freshness has become a citation signal.
Measurement is methodologically more demanding than for SEO — instead of rankings, citations, brand mentions, and share-of-answer are tracked across multiple AI platforms. Calvarius works in an AEO setup integrated with the existing SEO infrastructure, not as a separate project.