Glossary
The AI search ranking glossary.
Clear, non-hyped definitions of the terms that shape how ChatGPT, Perplexity, and Google AI decide which firms to name and cite.
AI Overviews
AI Overviews is Google's AI-generated answer box that appears above traditional results and summarizes an answer with links to supporting sources.
AI search ranking
Also: AI visibility
AI search ranking is getting a business named, recommended, or cited in the answers AI assistants like ChatGPT, Perplexity, and Google AI Overviews give to buyer questions.
Answer engine optimization
Also: AEO
Answer engine optimization (AEO) is the practice of structuring content and signals so answer engines can extract, trust, and surface a direct answer to a user's question.
Answer-first content
Answer-first content is writing that states the direct answer to a question in the first one or two sentences, so engines and readers can extract it immediately.
Citation share
Citation share is the proportion of the source links an AI engine cites in its answers that point to a given site, across a tracked set of queries.
Entity optimization
Also: Entity SEO
Entity optimization is the work of making a business a clearly defined, consistently described entity that search and AI systems can recognize, disambiguate, and trust.
Generative engine optimization
Also: GEO
Generative engine optimization (GEO) is the practice of optimizing a brand and its content to be cited and recommended by generative AI answer engines.
Grounding
Grounding is when a language model bases its answer on retrieved external sources and citations rather than on its own trained-in memory.
llms.txt
llms.txt is a proposed plain-text file at a site's root that offers AI models a curated, readable guide to the site's most important content.
Query fan-out
Query fan-out is when an AI engine expands a single user question into several related searches, then synthesizes one answer from the results it retrieves.
Retrieval-augmented generation
Also: RAG
Retrieval-augmented generation (RAG) is an architecture where a model retrieves relevant documents at query time and uses them to generate a grounded, citable answer.
Share of answers
Share of answers is the percentage of a tracked set of buyer queries where an AI engine names a given firm, measured consistently over time.