GeoBeam Start snapshot setup Glossary
Plain-language definitions for the terms behind generative engine optimization. Each term is written so both buyers and answer engines can quote it accurately.
Generative engine optimization (GEO) is the practice of measuring and improving how a brand appears in answers produced by generative AI engines such as ChatGPT and Perplexity. Unlike traditional SEO, which targets ranked links, GEO targets mentions, recommendations, and citations inside synthesized answers.
Related: Answer Engine Optimization (AEO), AI search visibility, AI citation
Answer engine optimization (AEO) is the practice of structuring content so answer engines can extract and surface it as a direct answer. It overlaps heavily with GEO and emphasizes concise, well-structured, citable content that machines can quote accurately.
Related: Generative Engine Optimization (GEO), AI citation
AI search visibility describes how often, and how prominently, a brand appears in AI-generated answers for relevant prompts. It is typically measured through mention rate, share of voice, and citation coverage across a set of buying-intent queries.
Related: Mention rate, Share of voice
In AI search, share of voice is the portion of brand mentions that belong to you versus your tracked competitors across a set of answers. A higher share of voice means AI answers name you more often relative to the alternatives buyers are considering.
Related: Mention rate, Competitor-only answer
An AI citation is a source URL that an answer engine references to support a claim in its response. Citations matter because the pages an engine cites influence which brands it recommends. Verifying that cited URLs are reachable is a core trust signal in GEO.
Related: Citation verification, Generative Engine Optimization (GEO)
Mention rate is the share of scanned answers that mention your brand for a query set. A strong mention requires high parser confidence that the brand was genuinely referenced, not coincidentally matched.
Related: Strong mention, Share of voice
A strong mention is a brand mention extracted from an AI answer with parser confidence at or above a set threshold (GeoBeam uses 0.7). Headline metrics count strong mentions to avoid inflating visibility with ambiguous matches.
Related: Mention rate
A buying-intent prompt is a query that mirrors real buyer research, such as asking for the best tool in a category, alternatives to a product, or a comparison between two products. These prompts reveal which brands AI answers recommend at the moment of consideration.
Related: Query pool
A query pool is a shared, deduplicated set of prompts scanned once per model and day, then attributed to every subscribed brand. Pooling queries lowers cost and improves coverage as more brands overlap by category.
Related: Buying-intent prompt, Dedupe ratio
Citation verification is the process of normalizing cited URLs, checking that they resolve, and recording the final URL so that recommendations are tied to evidence that actually exists. It separates verified citations from unverified ones.
Related: AI citation
A competitor-only answer is one that mentions one or more of your tracked competitors but not your brand. A high competitor-only rate signals prompts where AI answers are recommending alternatives instead of you.
Related: Share of voice
Dedupe ratio is the number of subscriber-attributed scans divided by the number of physical provider calls. A higher ratio means the shared query pool is serving more brands per real API call, which is the core unit-economics lever for monitoring at low cost.
Related: Query pool
Put it into practice
A GeoBeam snapshot reports mention rate, share of voice, competitor-only answers, and verified citations across your buying-intent prompts.