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AI visibility glossary
The vocabulary of getting read and cited by AI. Each term opens with a one-line definition, then goes deeper into what it means for your site.
- Generative Engine Optimization (GEO) Generative Engine Optimization (GEO) is the practice of structuring and publishing content so that generative AI engines can fetch it, read it in full, and cite it when they answer a question.
- Answer Engine Optimization (AEO) Answer Engine Optimization (AEO) is the practice of making a page readable, allowed, and structured enough that AI answer engines can use it as a source when they compose an answer.
- AI visibility AI visibility is whether AI systems can access, read, and faithfully represent your web pages, the prerequisite for being cited in an AI answer.
- llms.txt llms.txt is a proposed plain-text markdown file placed at a site's root that gives AI systems a curated map of its most important content, so models can find and read what matters without parsing every page.
- Prose Parity Prose Parity is Lantad's metric for the share of a page's rendered, human-visible text that is present in the raw HTML an AI crawler receives, where 100% means a crawler sees everything a human visitor sees.
- AI crawler An AI crawler is an automated bot, such as GPTBot, ClaudeBot, or PerplexityBot, that fetches web pages so an AI system can read, train on, or cite what those pages contain.
- Structured data for AI (schema markup) Structured data is schema.org markup, usually written as JSON-LD, that labels a page's facts in a machine-readable format so AI systems can extract and attribute them without having to interpret the surrounding prose.
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