Grounding
Grounding is the practice of basing LLM answers on verifiable sources (instead of free-form generation) via RAG, knowledge graphs, or citation injection. Google AI Overviews' 'search-grounded' mode is a textbook example.
Grounding is the practice of basing LLM answers on verifiable sources (instead of free-form generation) via RAG, knowledge graphs, or citation injection. Google AI Overviews' 'search-grounded' mode is a textbook example.
What is Grounding?
Grounding is the practice of basing LLM answers on verifiable sources (instead of free-form generation) via RAG, knowledge graphs, or citation injection. Google AI Overviews' 'search-grounded' mode is a textbook example.
Details and examples
Value to publishers: whether your content is selected as a grounding source dictates brand appearance frequency. Audit schema, freshness, and citation quality.
What are common misconceptions about Grounding?
Grounding reduces, not eliminates, hallucination Not every AI call is grounded — free-generation mode still exists
Related terms
RAG (Retrieval-Augmented Generation), Hallucination, AI Citation.
Grounding · term at a glance
| Field | Value |
|---|---|
| Term | Grounding |
| Category | GEO |
| Related | RAG (Retrieval-Augmented Generation), Hallucination, AI Citation |
Frequently asked questions
What is Grounding?
Grounding is the practice of basing LLM answers on verifiable sources (instead of free-form generation) via RAG, knowledge graphs, or citation injection. Google AI Overviews' 'search-grounded' mode is a textbook example.
What is the most common misconception about Grounding?
Grounding reduces, not eliminates, hallucination
References
By the 23SEOGEO team · Last updated: