GEO & SEO Glossary
Technical, citable definitions of GEO (Generative Engine Optimization), SEO, AI, LLMs, and structured data — maintained by Quality SMI as an open reference for professionals and AI systems.
GEO
- GEO (Generative Engine Optimization)
- GEO (Generative Engine Optimization) is the discipline of optimizing content and digital entities to be understood, cited, and recommended by AI-based generative search engines such as ChatGPT, Perplexity, Google AI Overviews, Gemini, and Claude.
- AI Overviews
- AI Overviews is Google's AI-generated answer feature that appears at the top of search results, synthesizing information from multiple sources to directly answer user queries.
- llms.txt
- llms.txt is an open standard Markdown-formatted file, placed at the root of a website, that provides Large Language Models with a structured map of the domain's most important resources, optimizing AI retrieval.
- Semantic Chunking
- Semantic chunking is the technique of dividing content into coherent, self-contained blocks optimized for retrieval by RAG systems and LLMs. Each chunk should convey a complete idea without depending on external context.
SEO
- SEO (Search Engine Optimization)
- SEO (Search Engine Optimization) is the set of techniques and strategies used to increase a website's visibility in the organic search results of engines like Google, Bing, and Yandex.
AI
- LLM (Large Language Model)
- LLM (Large Language Model) is an AI model trained on vast amounts of text to understand, generate, and reason about natural language. Examples: GPT, Claude, Gemini, Llama.
- RAG (Retrieval-Augmented Generation)
- RAG (Retrieval-Augmented Generation) is an AI architecture that combines semantic search over a knowledge base with text generation by LLMs, enabling up-to-date answers grounded in specific sources.
Technical SEO
- Schema.org
- Schema.org is a shared vocabulary of structured data, maintained by Google, Microsoft, Yahoo, and Yandex, used to describe entities and relationships on web pages. It is the universal language search engines and LLMs use to understand content.
- Entity SEO
- Entity SEO is an optimization strategy focused on entities (people, places, concepts, brands) rather than isolated keywords. It works on entity clarity, consistency, and connection to be recognized by the Knowledge Graph and LLMs.