u/Mother_Yoghurt_507

If you run the same prompt multiple times and the AI gives different answers, how much variation would you consider acceptable before you stop trusting the measurement?

For example:

10 runs → brand mentioned 7 times

Would you consider that a reliable 70% visibility signal?

Or would you want:

20+ runs?

results across multiple days?

different locations?

a confidence/range rather than one percentage?

And importantly, what would you consider a meaningful change?

If visibility moves from 60% → 65%, is that something you'd act on, or would you need a much larger change before believing it wasn't just model variance?

Curious how people actually handle this today.

Is it actual citations, which sources are influencing the answer, brand mentions, competitor visibility, or something else?

Hi everyone,

We're building a platform that helps clothing brands increase online conversions by letting customers virtually try on products before purchasing.

Along with the AI try-on experience, brands get an analytics dashboard showing:

Try-on usage

Customer engagement

Product popularity

Conversion rate from try-on to purchase

Insights into which products drive the most interactions

We're looking for 10 early partner brands in India for a limited paid pilot.

During the pilot, you'll receive:

Full onboarding and integration

Dedicated support

Access to the analytics dashboard

Direct input into new features

If you run a D2C or Shopify clothing brand and are interested in improving online conversions, I'd love to connect.