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Technical implementation · AI Search Infrastructure

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Definition

Grounding is the process of anchoring an AI model’s output to specific, verifiable external sources — ensuring that generated responses are based on retrieved evidence rather than patterns from training data alone. A grounded response includes citations that can be traced back to specific documents or data points. Grounding is what separates a cited AI response from a hallucinated one. AI systems that prioritize grounded outputs actively retrieve and attribute content — which means brands whose content is structured for retrieval appear in grounded responses, while brands whose content is poorly structured or inaccessible do not. Grounding is the mechanism that makes content strategy directly relevant to AI citation.

RAG

Hallucination

Inference

Citation signal

Retrieval pipeline

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