How DoNotStay Works

DoNotStay uses AI to analyze publicly available guest reviews on Booking.com. Our tool reads detailed written reviews — not numerical scores — and identifies recurring patterns related to cleanliness, noise, safety, pests, and other common hotel issues.

Each hotel receives a verdict (Stay, Questionable, or Do Not Stay) and a confidence score. These represent an algorithmic opinion based on review pattern analysis, not a statement of verified fact. Individual experiences may vary.

Red flags are generated when multiple independent reviews mention the same issue. Each red flag includes the number of mentions and a representative quote from an actual guest review. Severity levels (Low, Medium, High, Critical) reflect frequency and recency of complaints.

Our confidence score represents how confident the system is that the hotel is a safe and reliable place to stay. A high score means the reviews consistently indicate a positive experience. A low score means significant concerns were identified across multiple reviews.

DoNotStay does not verify the authenticity of individual reviews. We analyze patterns across all available detailed reviews and present our findings as an opinion-based summary.

If you are a hotel owner or manager and believe a verdict is inaccurate, please contact us at disputes@donotstay.app. We take all disputes seriously and will review the analysis.