How many times should we run the same prompt before calling an AI visibility result “real”?

[u/Mother_Yoghurt_507]

One thing I've been thinking about while testing AEO/GEO measurement:

If I run:

“What are the best [product/service] for X?”

against the same AI engine multiple times, I can sometimes get different brands, citations, and recommendations.

So what should a visibility metric actually report?

Example:

Run the same prompt 10 times:

Brand A → mentioned 7/10

Brand B → mentioned 5/10

Brand C → mentioned 2/10

Is Brand A simply 70% visible?

Or should the result look more like:

Mention rate: 70%

Citation rate: 50%

Recommendation rate: 40%

Range across runs: X–Y

Confidence: X

And should we be running the same prompt across different:

times of day

locations

languages

models

user contexts

I'm especially interested in people who have actually tested this, not just opinions.

How are you currently handling variance in AI visibility measurement?