AI Volatility Tracker

It is the rate at which AI answers change from one day to the next: how many sources they cite, which domains those sources are, how long the answer is, and how many brands they name. When the same engine answers similar prompts with a different mix, volatility is high.

Each metric compares today with yesterday, expressed as a percentage from 0 to 100. The headline score is the equal-weight average of the tags you have selected, for one engine. Citations is how many in-answer links there were; sources is whether those links came from the same websites. Both ignore retrieved URLs that never appear in the answer. Switch to Weekly to compare Monday–Sunday weeks.

Engines change on different days, for different reasons. Averaging ChatGPT with Google AI Mode would hide the spike you actually care about: a default-model swap, an index refresh, a shopping rollout.

The same prompts Vercite customers run against each engine, not a fixed research panel. That mix covers many languages, industries, and query types. We focus on patterns that hold across the whole set. Citations and sources both compare only prompts that ran today and yesterday.

Character length of the cleaned answer: shopping-widget markdown and data:image blobs are stripped first, so a vendor payload change is not mistaken for shorter prose.

Once a day, after the UTC day closes. In Daily mode (the default), each point is today compared with yesterday.