can't even run a proper test without checking impressions first since sessions take way too long to hit significance. it's pretty obvious that tracking things like LLM referrals as secondary data is the only way to see if we're actually moving the needle on ai discovery while the volume is still tiny.
>Impressions are the obvious example: a change that affects rankings, or the range of queries a page shows up for, appears in impressions before it appears in sessions.it's fine but i don't know how people expect to rely on these noisy metrics when the data is basically just a flat line most weeks. does anyone actually use conversion data as a guardrail for small-scale page tests?
https://www.searchpilot.com/resources/blog/guardrail-metrics