Your Per-LLM Citation Rates, Trended Over Time
Not all AI models treat your brand equally. LLMRanky breaks down your citation rate per model — ChatGPT, Claude, Perplexity — and shows exactly how each rate evolves week after week.
A global citation rate of 60% sounds impressive until you realize it is 82% on Perplexity, 67% on ChatGPT, and only 45% on Claude. Each AI model has different strengths, different training data, and different citation patterns. Without per-model granularity, you optimize for an average that does not exist.
Per-Model Citation Breakdown
LLMRanky shows your citation rate as a percentage for each AI model, updated weekly. You see at a glance which model cites you most and which one barely acknowledges your existence.
Each rate includes a trend indicator showing whether you gained or lost ground since last week. A +5% on ChatGPT paired with a -3% on Claude tells a story that a single average would completely hide.
The cross-model average provides a high-level health metric, while the per-model breakdown tells you exactly where to focus your next optimization sprint.
Single Metric vs. Per-Model Rates
Averages mask the models where you are actually losing.
Optimizing for an Average That Hides the Problem
You check your overall AI visibility once a month and see a stable number. Meanwhile, your Claude citation rate dropped 15% after a model update — but Perplexity gained enough to mask the loss.
Without per-model rates, you cannot diagnose which AI needs attention, which content changes worked, or which model responds fastest to optimization.
Diagnose, Optimize, and Track Per Model
See exactly which AI model needs attention right now. Per-model rates with trend indicators make it obvious where your content strategy is working and where it is failing.
Weekly trend data shows the direct impact of every content change. You know within 7 days whether an optimization moved the needle on each specific model.
Historical Trend Visualization
Raw rates tell you where you are. Trends tell you where you are going. LLMRanky plots your citation rate over time so you can see the trajectory of your AI visibility.
A steadily climbing rate confirms your strategy is working. A sudden drop after an AI model update tells you exactly when and where visibility was lost — so you can react immediately.
Trend data is exportable as CSV for reporting to stakeholders or integrating into your existing analytics workflow.
How the Citation Rate Dashboard Works
Per-model rates, calculated weekly, trended automatically.
1. Aggregate Results
After each weekly monitoring cycle, citation results are aggregated per model — total questions asked vs. questions where your brand was cited.
2. Calculate Rates
Per-model citation rates are calculated as percentages. A cross-model average provides the high-level view, while individual rates reveal model-specific performance.
3. Build Trend Lines
Weekly rates are plotted over time to visualize trajectory. Trend indicators show week-over-week change at a glance.
Know Your Exact Citation Rate on Every AI Model
Stop relying on a single average. See per-model rates, weekly trends, and actionable insights that drive real visibility improvements.
See Your Rates Now →