Glossary / The answer layer
Share of voice, grounding, retrieval, llms.txt — what each one means and where people get it wrong. 22 terms, written to be quoted.
Foundations
The practice of optimizing content so AI answer engines mention, cite, and describe a brand accurately.
READ THE DEFINITION →Generative Engine Optimization (GEO)The research term for optimizing content visibility inside generative AI outputs, coined in academic literature.
READ THE DEFINITION →Answer engineA system that answers user queries directly with a synthesized response instead of a list of links.
READ THE DEFINITION →LLM SEOAn informal term for optimizing content so large language models retrieve, trust, and repeat it accurately.
READ THE DEFINITION →Zero-click searchA search interaction where the user gets their answer without clicking through to any website.
READ THE DEFINITION →Metrics
The percentage of AI-generated answers in a topic or category that mention a given brand.
READ THE DEFINITION →Answer positionWhere in an AI-generated response a brand is mentioned, from first-named to buried in a list.
READ THE DEFINITION →Brand mention rateHow often AI answers name your brand across a fixed set of buyer questions.
READ THE DEFINITION →Citation shareThe share of the sources cited in AI answers that point to your own website.
READ THE DEFINITION →Sentiment (AI answers)Whether an AI-generated mention of a brand reads as positive, neutral, or negative in tone.
READ THE DEFINITION →Visibility scoreA single number that summarises how visible a brand is in AI answers. How it is calculated varies by tool.
READ THE DEFINITION →Mechanics
The step where an AI system fetches candidate documents or passages before generating an answer.
READ THE DEFINITION →GroundingAnchoring a generated answer in retrieved or verifiable source material instead of the model’s memorized parameters.
READ THE DEFINITION →Retrieval-augmented generation (RAG)An architecture that retrieves external documents at query time and feeds them to a language model as context for its answer.
READ THE DEFINITION →Prompt fan-outOne user query expanding into multiple retrieval searches or sub-queries behind the scenes before the answer is composed.
READ THE DEFINITION →HallucinationWhen an AI answer states something false or unsupported with the same confidence as a verified fact.
READ THE DEFINITION →Model-recalled citationA source a model names from memory when answering, not necessarily a page it retrieved and read in that session.
READ THE DEFINITION →Entity consistencyWhether the facts about your brand match everywhere AI engines look.
READ THE DEFINITION →Technical
A proposed root-level text file that lists a site’s key pages for AI systems to read, similar in spirit to robots.txt.
READ THE DEFINITION →AI crawlerA bot that fetches web pages for an AI company, either to train models or to answer a live question.
READ THE DEFINITION →Schema markup for AIStructured data on a page that states facts about a business, product or article in a form machines read without guessing.
READ THE DEFINITION →AI OverviewsGoogle’s AI-generated summary shown above traditional search results for eligible queries, citing a handful of source links.
READ THE DEFINITION →