Gemini · Tremor
Gemini's weekly AI search volatility, measured by LLM Pulse. Higher magnitude means its sources, brand mentions and sentiment shifted more since last week.
Based on 27,870 repeated prompts
The three signals behind the magnitude.
How much the set of sources this model cites shifted week-over-week.
Raw weekly churn: 77.5 / 100
How much brands appeared, disappeared or moved position in answers.
Raw weekly churn: 12.2 / 100
How much the tone toward brands shifted week-over-week.
Raw weekly churn: 9.1 / 100
Tremor magnitude (0-10) per AI model, week-over-week. Updated every Tuesday by LLM Pulse.
Mozcast and Algoroo gave SEOs a weekly read on how much Google's algorithm moved. Tremor does the same for AI search, but instead of one engine, it tracks how much each AI model changes its answers from week to week.
Every week we take the prompts that ran in both the current and the previous week, and for each AI model we measure how much the cited sources, brand mentions and sentiment shifted. Because AI answers always move a little, each signal is scored against that model's own recent baseline, then blended into a single seismic magnitude from 0 (unusually calm) to 10 (major upheaval). A normal week reads around 2.
Citation churn: for the same prompts, we compare the set of domains each model cited this week vs last week (Jaccard distance). This is the strongest signal, the AI-search equivalent of "the results changed".
Mention churn: how often brands appeared, disappeared or moved position in answers week-over-week.
Sentiment variation: how much the tone toward brands shifted week-over-week.
Baseline-relative scoring: each signal is compared to that model's own trailing eight-week baseline (robust z-score), so the magnitude measures unusual movement, not the natural week-to-week noise of AI answers. A typical week reads around 2; higher means the model moved beyond its own usual volatility. Signals are blended (citations weighted most) into the headline magnitude, and the `all` reading averages the per-model magnitudes.
Updated every Tuesday, comparing the latest complete week to the one before it. Built on the LLM Pulse dataset across ChatGPT, Perplexity, Gemini, Google AI Mode and AI Overviews.
A spike in Tremor means an AI model just reshuffled who it cites and recommends, a leading indicator that your brand's AI visibility may have shifted, for better or worse.
Tracking volatility by model tells you where to look first: a quiet week on ChatGPT but a storm on Google AI Mode means your AI search risk is concentrated in one place.
Track your own brand
Tremor is built on the LLM Pulse dataset. Track citations, mentions, sentiment and share of voice for your own brand across every AI search engine.