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Twenty practitioner-grade definitions for Generative Engine Optimization, Answer Engine Optimization, and the broader discipline of AI search visibility. Written by Harch Atelier, the Casablanca-based GEO practice powered by GLM-4.
The practice of optimizing content to appear in AI-generated search results from engines like ChatGPT, Perplexity, and Google AI Overviews.
Optimizing content so that answer engines (Perplexity, ChatGPT, Google AI Overviews) directly quote or cite your brand in their generated answers.
The share of relevant queries in which a brand, product, or executive is named inside answers produced by AI search engines.
The set of content, technical, and entity-level practices that increase how often ChatGPT names and links to your brand in its answers.
Optimizing content to be cited inside Perplexity answers, which attach numbered source links to every factual claim.
Google's generative answer feature that synthesizes a paragraph-style answer at the top of the SERP, citing 3–8 sources.
A reference inside an AI-generated answer that names a brand, person, source, or URL as the basis for a factual claim.
The practice of defining and disambiguating your brand as a unique entity that AI models can recognize, retrieve, and reference consistently.
Schema.org JSON-LD and other machine-readable markup that helps AI models parse who you are, what you do, and how to cite you.
The signals and weights that AI search engines use to decide which sources appear inside their generated answers.
The probability that a large language model will name your brand unprompted when asked an open question in your category.
A search paradigm where the engine synthesizes a written answer from multiple sources instead of returning a ranked list of links.
A software product that responds to a user query with a synthesized written answer rather than a ranked list of links.
Rewriting existing web content so that AI search engines can extract, paraphrase, and cite it reliably inside their answers.
The umbrella discipline of optimizing for all AI-driven search engines — ChatGPT, Perplexity, Google AI Overviews, Copilot, and Claude.
Search engines that use machine-learned ranking models rather than hand-tuned rules to decide what to surface for a query.
A search paradigm where users type or speak full questions in natural language instead of keyword shorthand.
Optimizing content to perform well in multi-turn conversational interfaces where the user asks follow-up questions.
The mechanisms by which AI search engines find, retrieve, and ingest new content from the web into their answer pipelines.
Optimizing content for search engines that match meaning rather than keywords, using vector embeddings and entity relationships.
Harch Atelier runs GEO programs that get your brand cited inside ChatGPT, Perplexity, Google AI Overviews, and Claude answers. Powered by GLM-4. Five-minute free audit.
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