Understanding Review Integrity Through Data Science
This hotel's reviews are continuously monitored by CIRS for authenticity
We aggregate reviews from Google, Booking.com, TripAdvisor, Hotels.com, and Expedia to build a complete picture.
Our patent-pending algorithms detect suspicious patterns: velocity spikes, language anomalies, reviewer behavior, and timing clusters.
Each review receives both a CTS (Contributor Trust Score) and RTS (Review Trust Score) for comprehensive evaluation.
Verification results are cryptographically anchored to ensure tamper-proof audit trails and independent verification.
5 USPTO Patent Applications protect our verification methodology
CIRS analyzes review patterns across all major platforms to detect manipulation and verify authenticity
Our proprietary algorithm analyzes multiple factors to calculate review authenticity
Measures rating variance across Google, Booking, TripAdvisor, Hotels.com, and Expedia. High skew indicates possible manipulation.
Total verified reviews across all platforms combined with temporal patterns. Higher volume provides more reliable data patterns.
Rewards properties with uniform ratings across platforms, indicating authentic customer sentiment.
AI-powered detection of review patterns including burst detection, language analysis, and reviewer behavior profiling.
Full methodology protected by 5 USPTO patent applications
Based on CIRS partner data and industry research
Protect against competitor attacks and fake reviews. Prove your authentic ratings to increase bookings. Get alerts when manipulation is detected.
Book with confidence knowing reviews are verified across all platforms. No cherry-picked ratings or hidden negative feedback.
Create a fair marketplace where quality wins over manipulation. Restore trust in online reviews through transparent verification.
Protect your reputation. Increase your bookings. Build customer trust.
Become a Partner