SEO, GEO, AEO, AIO, REG and RAG
The terms describe different parts of search, answers, identity and retrieval. They overlap, but they are not interchangeable.
Quick comparison
| Term | Full name | What it focuses on | Who usually applies it |
|---|---|---|---|
| SEO | Search Engine Optimization | Crawling, indexing, relevance and search visibility | Site owners, publishers, marketers and developers |
| GEO | Generative Engine Optimization | Usefulness and visibility in generated answers | Publishers, marketers and organizations |
| AEO | Answer Engine Optimization | Clear responses to direct questions | Publishers, marketers, support teams and educators |
| AIO | AI Optimization or AI Overviews | Depends on context; the acronym has more than one meaning | Marketers, publishers and product teams |
| REG | Recognition and Retrieval Engine Guidance | Correct entity recognition and accurate information retrieval | Businesses, publishers and data stewards |
| RAG | Retrieval-Augmented Generation | AI systems retrieving outside information before generating an answer | AI engineers and product teams |
SEO: the foundation
SEO includes technical crawl access, indexing, page structure, content, internal links, local information and reputation. Google states that the same SEO fundamentals remain relevant to its generative search features.
GEO: generated-answer visibility
GEO can include direct definitions, original evidence, reliable sourcing, authorship, clear entity information and content that addresses the full question.
AEO: direct answers
AEO is not simply adding an FAQ. It means answering the actual customer question immediately, then explaining the details, conditions and exceptions needed to use the answer correctly.
AIO: define the acronym
AI Optimization can be a broad umbrella for work intended to improve visibility or performance around AI systems. AI Overviews is the name of Google’s generated summary feature in Search.
REG: recognition and retrieval
REG was developed through IRefer Club. It is an original framework—not an official Google, OpenAI or schema.org standard.
RAG: a technical AI architecture
RAG is implemented by developers inside an AI product. A business owner cannot install RAG into Google or ChatGPT, but the owner can publish information that a retrieval system may later find.
Read the complete terminology guide
This page provides the book-level overview. AI Search Explained contains dedicated pages, a full comparison and practical examples.
Sources and further reading
- Google SEO Starter Guide — Official guidance on SEO fundamentals.
- Google’s guide to generative AI features in Search — Official guidance on SEO and AI Overviews/AI Mode.
- GEO research paper — The research paper that formalized Generative Engine Optimization.
- RAG research paper — The research paper that introduced Retrieval-Augmented Generation.