Answer Engine Optimization
Optimising content to be the source of a direct answer in features and assistants that answer questions rather than list links.
A system that responds to a question with a synthesised answer and citations rather than a ranked list of documents — for example Perplexity, ChatGPT search or Google's AI Mode.
Answer engines combine a retrieval layer over web or licensed content with a language model that composes the response. From a publisher's perspective they change the unit of visibility from position to citation, compress many results into a few sources, and remove most of the click-through that funded the underlying content. They also differ from each other in index, crawler and citation behaviour, so visibility in one says little about the others.
The same question yields three sources in one assistant and a largely non-overlapping set of five in another.
Optimising content to be the source of a direct answer in features and assistants that answer questions rather than list links.
The practice of improving how often and how accurately a brand's content is retrieved, cited and represented in AI-generated answers.
The proportion of AI answer citations across a tracked prompt set that point to a given domain, used as the AI-era analogue of ranking…
A search where the user's need is satisfied on the results page itself — by a snippet, knowledge panel, calculator or AI Overview — and no…
Perplexity's crawler for building its search index, alongside a separate user-triggered agent that fetches pages in response to specific…