Track How AI Engines See Your Brand
Measure when your brand appears, how prominently it is recommended, how performance changes between monitoring runs, and where competitors are winning buyer-intent prompts.
Continuous visibility monitoring.
Move beyond anecdotal screenshots to confidence-aware visibility measurement across the entire AI engine ecosystem.
Prompt tracking
Systematic monitoring of hundreds of specific buyer-intent prompts used in your category.
AI-engine coverage
Simultaneous tracking across the 8 supported AI engines (ChatGPT, Gemini, Claude, etc.).
Recommendation presence
Binary confirmation of whether your brand is mentioned or recommended in a response.
Recommendation order
Analysis of your position in list-based AI recommendations vs competitors.
Historical trend tracking
Week-over-week performance monitoring to assess impact of GEO optimizations.
Confidence intervals
LLM temperature controls and 10–30 replays per prompt depending on plan and measurement design. 95% confidence intervals are reported where the measurement design supports them.
Engine-by-engine analysis
Identify which engines favor your brand and where you are invisible.
Prompt-level drill-down
Deep-dive into individual queries to see exactly how AI describes your product.
The tracking workflow in action.
See how CiteRank breaks down a single prompt across the major AI systems.
Difference between Product and Metric
AI Visibility Tracking is the product workflow. AI Visibility Score is the metric used to summarise visibility performance.