How accurate are the detection results?

BnBDetector is designed to deliver the highest possible accuracy by combining multiple data sources and analytical techniques. Here is how we ensure reliable results:

Multi-platform scanning: Rather than relying on a single source, BnBDetector aggregates data from Airbnb, Booking.com, Agoda, and other short-term rental platforms. This cross-referencing reduces blind spots and gives a more complete picture of rental activity in a building.

Real-time data: Every detection fetches fresh data at the time of the scan. We do not rely on stale caches or outdated snapshots. This means the BnBIndex score you see reflects the current state of the building as closely as possible.

AI-powered analysis: Our algorithms go beyond simple listing counts. They analyze patterns such as review frequency, listing density relative to building size, seasonal fluctuations, and other signals to produce a nuanced score.

That said, short-term rental activity is inherently dynamic — new listings appear, old ones are removed, and occupancy rates change daily. For this reason, we always recommend running a fresh detection close to the date of your decision (e.g., before signing a lease) to ensure you have the most up-to-date information.