Track Your Citations Across Every Major AI Model
Every Monday, our system automatically queries ChatGPT, Claude, and Perplexity on your monitored questions. You see exactly which AI mentions you, which ignores you, and where you are gaining or losing ground.
Each AI model has its own training data, its own biases, and its own way of choosing which brands to cite. A site that dominates ChatGPT responses may be completely invisible to Claude. Without cross-model tracking, you are optimizing in the dark — fixing one blind spot while three others grow silently.
One Dashboard, Three AI Models, Zero Guesswork
LLMRanky queries ChatGPT, Claude, and Perplexity simultaneously on every question your audience is asking. Each response is parsed for brand mentions, citation placement, and sentiment.
The result is a side-by-side matrix that shows exactly where you appear — and where your competitors appear instead. No more logging into three different AI tools to piece together a fragmented picture.
When one model stops citing you after an update, you catch it immediately — not months later when organic traffic has already eroded.
Single-Model vs. Multi-LLM Tracking
Most teams only check one AI. Here is what they miss.
Flying Blind on Two-Thirds of AI Traffic
You manually test ChatGPT once a month and assume the results apply everywhere. Meanwhile, Claude and Perplexity have completely different citation patterns that you never see.
When an AI model updates its knowledge base, you have no alert system. Weeks pass before anyone notices your brand disappeared from answers.
Full Visibility Across Every AI That Matters
Automated weekly queries across three major AI models give you a complete citation map. You see exactly where you stand on each platform — no manual testing required.
Instant alerts when citation patterns shift on any model. You know within days, not months, when an AI update affects your visibility.
Automated Weekly Monitoring — Set It and Forget It
Once you configure your monitored questions, LLMRanky runs them against all three AI models every Monday morning. No manual intervention, no forgotten checks.
Each run generates a detailed log showing exactly how each model responded, whether your brand was cited, the position of the citation, and any competitor mentions alongside yours.
Over time, these weekly snapshots build a trend line that reveals which content changes actually moved the needle — and which models respond fastest to your optimizations.
How Multi-LLM Tracking Works
Three models, one automated pipeline, total clarity.
1. Configure Questions
Select the questions your audience asks AI. LLMRanky suggests the highest-impact ones based on your scan.
2. Automated Weekly Queries
Every Monday, each question is sent to ChatGPT, Claude, and Perplexity. Responses are parsed and scored automatically.
3. Cross-Model Analysis
Results are compared across models to reveal discrepancies, trends, and opportunities unique to each AI platform.
Stop Guessing Which AI Sees Your Brand
Start tracking your citations across ChatGPT, Claude, and Perplexity today. Know exactly where you stand on every model that matters.
Start Tracking All 3 Models →