Grounding

Grounding is the practice of anchoring an AI system’s answer in real, retrieved sources rather than letting it rely only on what it memorised during training. A grounded answer is built from documents the system fetched at query time, which is why AI search engines can cite links — those citations are the grounding.

For SEO, grounding is the mechanism that makes GEO possible: if answers are built from retrieved sources, then being one of those retrievable, citable sources is the goal. That means being crawlable, being clearly the best answer to the query, and writing self-contained passages a system can lift with confidence. Grounding is why clean structure and unambiguous claims translate into citations.

Senior practitioners use grounding to explain the whole GEO opportunity in concrete terms: optimise to be retrieved and to be the source a grounded answer trusts. They recognise grounding reduces hallucination but depends entirely on what is retrievable, so they focus on being the authoritative, well-structured source in their space — and monitor citation share as the measurable outcome of being grounded-in rather than left out.