AI search & visibility

Grounding

Grounding

Connecting an answer to supporting evidence

Connecting an answer to supporting evidence

IN PLAIN ENGLISH

Grounding is the practice of connecting an AI-generated response to supplied or retrieved information so its claims can be assessed against relevant evidence.

Grounding is the practice of connecting an AI-generated response to supplied or retrieved information so its claims can be assessed against relevant evidence.

Updated October 2026

Why Grounding matters in B2B

B2B decisions depend on verifiable details. A generated answer about service scope or security requirements is more useful when a buyer can trace it to an appropriate source. Grounding focuses on that connection, rather than simply whether the response reads naturally.

How to use the concept

Compare important answer claims with the source material. Check that the source actually supports the wording, that it concerns the right product, and that its date and scope fit the question. A visible citation is a starting point for this review, not a substitute for it.

An illustrative B2B example

An assistant states that a provider supports a particular hosting arrangement and links a documentation page. The evaluator finds that the page only describes another product edition. The answer has a link, but the claim is not adequately supported for the proposed purchase.

What to watch for

A response can faithfully repeat an outdated or incorrect source. Groundedness and factual correctness therefore need separate consideration. For your own website, maintain clear version information and accurate explanations; for monitoring, record both source support and whether the business description is true.

Frequently asked questions

Is a cited answer automatically grounded?

No. The cited source must support the particular claim being made.

How does grounding relate to RAG?

RAG supplies retrieved context. Grounding concerns how the response is supported by that context or other evidence.

Related glossary terms

RAG

AI Citation

Hallucination

Further reading

Microsoft Learn: evaluating a RAG solution

Put this into practice

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© 2026 Windgrove AI Inc. All Rights Reserved.

© 2026 Windgrove AI Inc. All Rights Reserved.

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