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AI visibility glossary
The terms you'll meet when working on how AI engines see and recommend your brand, in plain language.
- AI citationAn AI citation is a source that an AI engine links to or names to support its answer.
- AI crawlerAI botAn AI crawler is an automated agent that fetches web pages for an AI company, either to answer users in real time or to collect training data.
- AI ReadabilityAI Readability measures how easily AI engines can crawl, understand and quote a web page.
- AI VisitsAI referral trafficAI Visits counts the AI crawlers that read your site and the visitors who arrive from links in AI assistants' answers.
- Answer engine optimizationAEOAnswer engine optimization (AEO) is the practice of making a brand and its content more likely to be named and cited in the answers of AI assistants and AI search features.
- Generative engine optimizationGEOGenerative engine optimization (GEO) is another name for optimizing content so that generative AI engines include and cite it in their answers.
- llms.txtllms.txt is a proposed plain-text file, placed at the root of a website, that summarizes the site and links to its most useful pages for large language models.
- Query fan-outQuery fan-out is when an AI engine splits one user question into several related searches, then combines the results into a single answer.
- Retrieval-augmented generationRAGRetrieval-augmented generation (RAG) is a technique where an AI model first retrieves relevant documents, such as web pages, and then writes its answer using them.
- Share of AnswerAI share of voiceShare of Answer is the percentage of relevant buyer questions for which an AI engine names your brand in its answer, compared with your competitors.
- Structured dataSchema markup, JSON-LDStructured data is machine-readable markup, usually schema.org vocabulary in JSON-LD, that tells crawlers exactly what a page describes: a product, its price, its availability, its reviews.
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