AI visibility glossary

The vocabulary of AI search,
without the jargon tax.

16terms you'll hear from us, your competitors, and the AI engines themselves. Plain-language definitions, no fluff.

AEO

Answer Engine Optimization

Answer Engine Optimization. Closely related to GEO. Focuses on structuring content so a question-answering engine surfaces it as the direct answer.

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AI crawlers

User-agents that pull content for AI training or live retrieval. The major ones: GPTBot, ClaudeBot, PerplexityBot, Google-Extended, anthropic-ai, CCBot.

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AI visibility score

A single number summarizing your AI visibility — typically blending citation share, sentiment, query coverage, and platform breadth.

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Citation share

The percentage of AI answers in a topic where your brand is cited as a source, against the total number of brand citations across all competitors.

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Entity (SEO sense)

A real-world thing — a company, a product, a person — that search engines and LLMs recognize as distinct from a string of letters.

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FAQ schema

JSON-LD that marks up question-and-answer pairs on a page so search and AI engines can lift them as direct answers.

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GEO

Generative Engine Optimization

Generative Engine Optimization. The discipline of getting your brand cited inside AI-generated answers from ChatGPT, Claude, Gemini, Perplexity, and similar engines.

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IndexNow

An open protocol that lets you ping search engines the moment you publish or update a page, instead of waiting to be re-crawled.

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JSON-LD

The recommended format for embedding structured data in a webpage. A small JSON blob inside a <script> tag.

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Knowledge Graph

A structured database of entities and their relationships, maintained by Google, Bing, and (increasingly) AI providers.

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LLMO

LLM Optimization · Large Language Model Optimization

LLM Optimization. The broader practice of making content readable, indexable, and citable by large language models.

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llms.txt

An emerging convention: a plain-text file at /llms.txt that tells AI crawlers which parts of your site are worth reading.

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RAG

Retrieval-Augmented Generation

Retrieval-Augmented Generation. The pattern of pulling relevant documents from a search index and feeding them into an LLM at answer time.

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robots.txt

The traditional crawler-control file. Tells search engines and AI crawlers which paths they can fetch.

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Share of voice (AI)

Your slice of the conversation: across a basket of queries, how often does AI cite you vs your competitors?

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Structured data

Machine-readable annotations (usually JSON-LD) that describe what a page is about — a product, an article, an FAQ, an organization.

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