Title: How do you know an AI visibility change is actually real?

One problem I’m curious about with GEO is the natural variation in AI answers. The same query can produce different answers, sources, or competitors at different times, so a single before-and-after test might be misleading.

For NiubiGEO, how would you recommend setting up repeated tests to separate normal AI answer variance from a genuine improvement in brand visibility?

For example, should teams run the same query multiple times across several days and compare the overall patterns rather than individual answers? And what sample size would make the change meaningful enough to act on?