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Reference

GEO Glossary

The definitive dictionary for Generative Engine Optimization. Define the entities, shape the AI.

Generative Engine Optimization (GEO)

The practice of optimizing content and digital assets to appear prominently and accurately in AI-driven search engines, conversational interfaces, and LLM-generated responses.

Citation Share

A metric that measures the percentage of times a specific brand or website is cited as a source in AI-generated answers compared to its competitors within a specific topic.

Entity

A distinct, well-defined concept, organization, person, or object that a search engine or LLM recognizes as a node in its knowledge graph, independent of specific keywords.

Retrieval-Augmented Generation (RAG)

An AI architecture that improves the quality of language model responses by grounding the model on external sources of knowledge (such as search indexes or databases) retrieved in real-time.

Information Density

The ratio of actionable, unique, and factual information to the total word count in a piece of content. High information density is strongly favored by AI models for inclusion in generated summaries.

Answer Engine Optimization (AEO)

A subset of SEO and GEO focused specifically on structuring content to be easily extracted and used by voice assistants, chatbots, and AI answer engines.

Knowledge Graph

A structured network of real-world entities and their relationships. AI models use knowledge graphs to understand context and verify factual claims.

Semantic HTML

The use of HTML markup that reinforces the semantics, or meaning, of the information in web pages and web applications rather than merely defining its presentation, critical for LLM parsing.

Data Comparison Table

A structured markdown or semantic HTML table that presents information in a highly parsable grid format. LLMs heavily weight tables when answering comparative or quantitative prompts.