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Short, plain-English definitions for the terms that come up in AI-search visibility work.

AI Overview (Google) An AI Overview is the AI-written summary Google places above its normal search results, pulling several sources into one answer with citations. Answer Engine Optimization (AEO) Answer Engine Optimization (AEO) is the practice of structuring content so that AI answer engines like ChatGPT, Perplexity, and Google AI Overviews quote it directly in their answers, instead of just ranking it somewhere in a list of links. Citation Share Citation share is the share of AI answers on a topic that cite your brand, counted against every answer on that topic, yours and your competitors' alike. Demand Capture Demand capture is the work of turning intent that already exists (someone actively asking a question or hunting for a solution) into a qualified lead. It's the flip side of demand generation, which sets out to create interest that wasn't there before. E-E-A-T (Experience, Expertise, Authoritativeness, Trust) E-E-A-T (Experience, Expertise, Authoritativeness, Trust) is Google's framework for judging whether the person behind a piece of content is actually credible on the topic. It started in Google's quality guidelines and increasingly shapes what AI engines are willing to cite. Generative Engine Optimization (GEO) Generative Engine Optimization (GEO) is the wider practice of getting your content, structure, and technical signals in order so AI systems can find you, read you correctly, and represent you accurately. AEO is the part of it that deals with citations. Knowledge Graph A knowledge graph is a structured map of entities (companies, people, products) and the connections between them that search and AI systems lean on to check facts. LLM Visibility LLM visibility is how findable and citable a brand is across large language models like ChatGPT, Claude, Gemini, and Perplexity. It's the phrase the market uses for the whole space, even when the actual mechanics are AEO or GEO. llms.txt `llms.txt` is a proposed convention in the mold of `robots.txt`: a plain Markdown file at the root of a site that hands AI crawlers a curated summary of what's there and where the important pages live. Prompt Coverage Prompt coverage measures how many of the questions buyers ask about your category your content actually answers. Retrieval-Augmented Generation (RAG) Retrieval-Augmented Generation (RAG) is the trick behind most AI answers: fetch relevant, current documents the moment a question is asked and let the model answer from those, rather than from memory alone. Semantic Search Semantic search matches on what a query means rather than the exact words it uses. Source Authority Source authority is how far an AI engine trusts a page to be accurate and worth quoting, read off signals like whether other sites corroborate it, who wrote it, and how the domain is regarded. Structured Data / Schema Markup Structured data, or schema markup, is code you add to a page (using the schema.org vocabulary) that spells out what the content actually is: an FAQ, a how-to, a product, a company. It states the meaning outright instead of leaving a machine to infer it. Zero-Click Search A zero-click search is one that ends without a click. The user gets the answer on the results page itself, or in the AI's reply, and never visits a site.

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