Answer-engine terms, defined.

The practice of optimizing content so AI answer engines mention, cite, and describe a brand accurately.

The research term for optimizing content visibility inside generative AI outputs, coined in academic literature.

A system that answers user queries directly with a synthesized response instead of a list of links.

An informal term for optimizing content so large language models retrieve, trust, and repeat it accurately.

A search interaction where the user gets their answer without clicking through to any website.

The percentage of AI-generated answers in a topic or category that mention a given brand.

Where in an AI-generated response a brand is mentioned, from first-named to buried in a list.

The percentage of tracked prompts in which an AI answer engine names a brand at all.

The percentage of a brand’s own URLs that AI answer engines actually cite as sources.

Whether an AI-generated mention of a brand reads as positive, neutral, or negative in tone.

A composite index combining mention rate, position, and citation data into one overall AI-visibility number.

The step where an AI system fetches candidate documents or passages before generating an answer.

Anchoring a generated answer in retrieved or verifiable source material instead of the model’s memorized parameters.

An architecture that retrieves external documents at query time and feeds them to a language model as context for its answer.

One user query expanding into multiple retrieval searches or sub-queries behind the scenes before the answer is composed.

When an AI answer states something false or unsupported with the same confidence as a verified fact.

A source a model names from memory when answering, not necessarily a page it retrieved and read in that session.

Whether a brand’s name, category, and attributes are described the same way across different AI answers and engines.

A proposed root-level text file that lists a site’s key pages for AI systems to read, similar in spirit to robots.txt.

An automated bot that fetches web pages on behalf of an AI company, for either training data collection or live retrieval.

Structured data (schema.org markup) that gives answer engines explicit, machine-readable facts about a page instead of requiring inference.

Google’s AI-generated summary shown above traditional search results for eligible queries, citing a handful of source links.