u/reizals

Curious how people here are handling reruns / sampling methodology for GEO / AI visibility tracking.

When you measure brand visibility in ChatGPT, Perplexity, Gemini, Claude etc.:

- how many prompt variants are you using per intent cluster?

- how many reruns per prompt?

- how often do you refresh measurements (daily, weekly, realtime)?

Right now I’m testing:

- ~15 prompt variants

- 3 reruns

- daily/weekly tracking

- limited reruns

But I’m noticing pretty high variance between sessions and models, especially in ChatGPT and Perplexity.

Trying to figure out what people consider statistically “good enough” before drawing conclusions for clients.

Feels like a lot of GEO tooling is still using methodologies that are way too small to be reliable.

I’m doing a manual LLM hallucination audit for a few small companies.

I check what ChatGPT / Gemini say about your business, what they get wrong, what they omit, and whether the answer matches your actual website.

I’m not selling anything!!!!

I just want feedback on the report format.

Drop your website here or DM me and I’ll review 3 examples :)

Cheers!

Hi

I recently checked a few business (and my aswell) and found incorrect answers from chatGpt (eg wrong services, outdated data, pricings, etc.). Btw. Gemini answers are worse than gpts.

Has anyone else noticed this? Curious how people deal with it or is that important for you or just doesn't care at all.

All the best for you!