Retrieval-Augmented Generation
RAG
A technique that retrieves current information from external documents or the web and adds it to an LLM prompt to support accurate answers.
The process of connecting AI answers to trustworthy factual material, such as verified web documents or databases, to reduce unsupported generation.
그라운딩
Grounding anchors AI answers in verifiable documents, databases and web pages instead of allowing the model to invent unsupported information. RAG is a common technical approach to implementing it. Well-grounded answers often include explicit links or footnotes that let users verify the facts, improving trust. For content creators, including clear figures, publication dates and links to original sources makes material easier for AI systems to use as grounding evidence.
Improves answer reliability and provides users with identifiable supporting sources.
Include official figures and quotations alongside clear links to their original sources.
RAG
A technique that retrieves current information from external documents or the web and adds it to an LLM prompt to support accurate answers.
AEO
A strategy for optimizing content so that brands and their content can be cited in the single answers generated by AI search systems or voice assistants.
AI Mode
A search engine mode that replaces a results-list interface with conversational AI answers and interactive exploration.
AI Overviews
A Google Search feature that synthesizes multiple web sources into an AI-generated summary with source links at the top of the results page.
AI 가시성
The frequency and share of brand appearances in answers from generative AI platforms such as ChatGPT, Claude and Perplexity.
AI 검색
Search that uses large language models to understand context and synthesize web results into natural-language answers rather than relying solely on keyword matching.