Grounding — Grounding is the practice of anchoring an AI/SI system’s answer in trusted sources rather than relying on memory alone. Systems ground answers in knowledge graphs, registries, verified profiles, and retrieved pages. A business connected to these grounding sources is described more accurately. Linking a website to trusted sources supports grounding.

Added October 21, 2026

Grounding — Grounding is connecting an AI model’s answers to reliable, specific sources of information. A grounded answer is based on retrieved documents, databases, or search results rather than memory alone. Grounding reduces hallucination and allows citations. It is central to trustworthy AI search.

Added October 21, 2026