Tremor measures how much each AI model changed its answers from one week to the next. For the same set of prompts, we compare the sources cited, the brands mentioned and the sentiment expressed, then blend those into a single 0–10 magnitude per model.

What does a high magnitude mean?

A high magnitude means the model's answers shifted a lot week-over-week — different sources, brands appearing or disappearing, or changing sentiment. A low magnitude means its answers were stable.

How often is Tremor updated?

It updates every Tuesday. Most weekly AI answers are refreshed on Monday, so by Tuesday the new week's data has landed and we can compare it to the previous week.

Which signals go into the magnitude?

Three signals: citation churn (how much the cited sources changed), mention churn (brands appearing, disappearing or moving position) and sentiment variation (how the tone toward brands shifted). Citations carry the most weight.

Where does the data come from?

It is built on the LLM Pulse dataset — millions of real AI answers across ChatGPT, Perplexity, Gemini, Google AI Mode and AI Overviews. The same data powers brand-level tracking inside LLM Pulse.

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Tremor by LLM Pulse

The AI Search Volatility Tracker

A weekly seismograph for AI search. Tremor measures how much each AI model changed its answers week-over-week — citations, brand mentions and sentiment — as one magnitude from 0 (calm) to 10 (major). Updated every Tuesday.

Week of Jun 1, 2026

This week across all AI search

6.3 / 10

Strong ▼ -0.2 vs last week

0 · Calm 5 10 · Major

Based on 136,013 repeated prompts

This week by AI model

Each model gets its own magnitude. Higher means its answers, sources and brand mentions shifted more since last week.

AI search volatility — weekly history

Tremor magnitude (0–10) per AI model, week-over-week. Updated every Tuesday by LLM Pulse.

Reading the scale

Calm

0–2

Minor

2–4

Moderate

4–6

Strong

6–8

Major

AI-referred traffic trends

How AI-referred visits are trending across connected sites, as an anonymized index per engine (start of window = 100). Relative change only — no traffic volumes.

Anonymized index across connected analytics accounts (k-anonymized; volumes never exposed). Updated weekly by LLM Pulse.

Privacy by design: each site is normalized to its own baseline, then aggregated as a median across many sites. No individual site or visit count is ever shown.

What Tremor measures

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. We blend those into a single seismic magnitude from 0 (calm) to 10 (major upheaval).

How we measure it

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.
Each signal is calibrated to a 0–10 scale and blended (citations weighted most) into the headline magnitude. 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.

Why it matters

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."}

Tremor — Frequently Asked Questions

: Tremor measures how much each AI model changed its answers from one week to the next. For the same set of prompts, we compare the sources cited, the brands mentioned and the sentiment expressed, then blend those into a single 0–10 magnitude per model.
: A high magnitude means the model's answers shifted a lot week-over-week — different sources, brands appearing or disappearing, or changing sentiment. A low magnitude means its answers were stable.
: It updates every Tuesday. Most weekly AI answers are refreshed on Monday, so by Tuesday the new week's data has landed and we can compare it to the previous week.
: Three signals: citation churn (how much the cited sources changed), mention churn (brands appearing, disappearing or moving position) and sentiment variation (how the tone toward brands shifted). Citations carry the most weight.
: It is built on the LLM Pulse dataset — millions of real AI answers across ChatGPT, Perplexity, Gemini, Google AI Mode and AI Overviews. The same data powers brand-level tracking inside LLM Pulse.

Track your own brand

See how AI search shifts for your brand — every week

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.

Citations, mentions and sentiment for your brand and competitors
Every major AI model — ChatGPT, Perplexity, Gemini, Google AI
Weekly tracking, share of voice and alerting

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The AI Search Volatility Tracker

This week by AI model

ChatGPT

Perplexity

Gemini

Google AI Mode

Google AI Overviews