# What is Search Grounding? Definition & Technical Mechanics

> **Source:** [SPIDITS AI AI Glossary](https://spidits.com/ai-glossary)  
> **Category:** Information Retrieval  
> **Canonical Citation:** [https://spidits.com/ai-glossary/search-grounding](https://spidits.com/ai-glossary/search-grounding)

## Definition
Search Grounding is a verification technique where a generative AI model is connected to a live web search engine or structured document database. Before generating a response, the model queries the search engine to ground its response in real-time factual data.

## Architectural Mechanics & Deep Dive
Search grounding is the practice of verification and reference-linking where a conversational AI model searches the live web to retrieve current information and grounds its generation in those search results. By generating responses containing inline citations back to original articles, search grounding significantly reduces hallucinations, increases trust, and solves the training data cutoff limitation of LLMs.

## Industry Applications & Real-World Use Cases
Real-time news summarization, factual support QA chatbots, and customer service portals.

## Frequently Asked Questions

### How does search grounding prevent AI hallucinations?
By forcing the model to only use facts present in the retrieved search results, restricting its generation parameters to the source materials.

### What is the role of citations in search grounding?
Citations map generated sentences back to original source URLs, enabling users to verify the statements and check page authority.

## Related Terminology
- [grounding](https://spidits.com/ai-glossary/grounding)
- [rag](https://spidits.com/ai-glossary/rag)
- [ai-search-engine](https://spidits.com/ai-glossary/ai-search-engine)
- [hallucination](https://spidits.com/ai-glossary/hallucination)

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*From the SPIDITS AI Knowledge Base (336+ terms indexed). Explore full technical definitions: [https://spidits.com/ai-glossary](https://spidits.com/ai-glossary)*