The measurement layer for AI search.
CiteRank AI is the first platform designed to measure, protect, and improve your brand's presence in the generative AI ecosystem.
Measure. Diagnose. Improve. Remeasure.
Generative Engine Optimization is a continuous loop. Our platform automates every step of the visibility lifecycle.
1. Measure
Establish your baseline AI Visibility Score across 8 major engines for hundreds of high-intent prompts.
2. Diagnose
Identify recommendation gaps, source authority leaks, and competitor citation dominance.
3. Improve
Execute data-backed GEO strategies to earn more citations and higher recommendation frequency.
4. Remeasure
Track ROI and share-of-voice growth with weekly pulses and monthly full-graph audits.
A complete suite for the AI era.
Dedicated intelligence tools for every dimension of AI visibility and reputation management.
AI Visibility Tracking
Measurement of brand presence across 8 major AI engines using systematic prompt replays.
Competitive Benchmarking
Compare recommendation share against other brands. Benchmark visibility in ChatGPT, Gemini and Claude.
Citation Intelligence
Identify the domains influencing AI answers. Track citation frequency across the reference graph.
GEO Optimization
Analytics for Generative Engine Optimization. Technical insights for AI discovery and preference.
Entity Intelligence
Monitor how the AI knowledge graph perceives your brand entity. Ensure data accuracy and reputation consistency.
Revenue Attribution
Tie AI visibility shifts to real pipeline signals. Measure direct referrals, assisted conversions, and growth correlation.
Built for precision and scale.
Our platform replays prompts thousands of times per day across the 8 major AI engines to ensure statistically significant visibility data.
Multi-Engine Replays
10-30 replays per prompt to control for LLM non-determinism and temperature drift.
8 Supported Engines
ChatGPT, Gemini, Claude, Perplexity, Google AIO, Copilot, Grok, and Meta AI.
Enterprise API Infrastructure
Real-time tracking with secure, reliable access to foundational model responses.