Glossary

Grounding

Anchoring AI outputs to verified, factual source material rather than relying on the model to generate answers from memory alone.

Definition

What this term means

The process of anchoring AI outputs to verified, factual source material rather than allowing the model to generate responses purely from its parametric knowledge. Grounded AI responses include verifiable claims backed by cited sources, reducing the risk of hallucination and improving accuracy. Google's Gemini and Perplexity AI both use grounding extensively.

Why it matters

The business impact

AI platforms are increasingly prioritising grounded responses because they are more reliable and trustworthy. Brands that provide clear, verifiable, well-structured source content are more likely to be used as grounding references, earning citations and traffic. Content that is vague, unverifiable, or poorly sourced is less likely to be selected as a grounding source.

Used in context

How you might use this term

A medical information provider structured their content with clear, sourced claims and author credentials. Perplexity and Gemini began using their pages as primary grounding sources for health-related queries, generating significant referral traffic from AI-powered search.
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