Answer
AI Search Visibility is a measurement concept that quantifies how often a brand, product, executive, or topic is mentioned inside the answers generated by AI search engines — ChatGPT, Perplexity, Google AI Overviews, Claude, GLM-4, and Copilot. It works by running a fixed panel of category-relevant queries across all four engines at a controlled cadence (usually weekly), recording which brands are cited in each generated answer, and aggregating the results into a citation-share metric expressed as a 0–100 score. The score is decomposed three ways: by engine (because ChatGPT citation behavior differs from Perplexity citation behavior), by query cluster (because a brand may dominate the "what is X" cluster but lose the "best X in Morocco" cluster), and by sentiment (positive, neutral, negative, comparative-with-competitors). A brand with an AI Search Visibility score below 20 is functionally invisible in the fastest-growing discovery channel of the decade — prospects who ask ChatGPT for a recommendation never hear the brand's name. A score above 60 means the brand is a category-defining answer that engines reach for unprompted. The technical mechanism by which visibility is generated involves two engines: a retriever that fetches the top 20–50 candidate passages from a web index, and a generator (the LLM) that paraphrases those passages into a synthesized answer. Brands that appear in the retrieval set with consistent, quotable phrasing are dramatically more likely to be cited — which is why Harch Atelier's GEO programs focus on (1) getting the brand into the retrieval set via crawler allowances and topical authority, and (2) making the brand's content quotable via definitional opening sentences and structured data. To measure your current AI Search Visibility score, book a free audit at /subsidiaries/atelier.