Airsight provides Airbnb hosts with data‑driven recommendations to increase their annual revenue. By analyzing a host’s listing against a custom model trained on the 20,000 nearest comparable properties, the platform offers smart comparables, revenue uplift forecasts, and optimized titles, descriptions, and photos, allowing hosts to see projected earnings before implementing changes.
Funding
Funding not disclosed
Founders
Product
Problem
Airbnb hosts often lack precise, market-specific insights into how to adjust their listings to maximize earnings, leading to suboptimal pricing, copy, and photo choices that limit booking rates.
Solution
Airsight addresses this gap by analyzing a host’s property against the nearest 20,000 comparable Airbnb listings. The platform trains a custom model on local revenue data to generate data‑driven recommendations. Hosts receive a set of intelligently selected comparable listings, detailed revenue uplift forecasts, and optimized suggestions for titles, descriptions, and photo ordering. Users can toggle individual interventions and instantly see projected ROI before implementing changes, enabling informed, revenue‑focused decisions.
Target Audience
Primary customers are individual Airbnb hosts and small property management teams seeking to increase annual booking revenue through data‑backed listing optimization.
Features
- Smart Comparables: 100 locally relevant listings selected using proximity and multi‑feature similarity to reflect real booking behavior
- Revenue Uplift Forecasting: Total and feature‑level revenue impact estimates for each recommended change
- Optimized Title, Description & Photo: AI‑generated copy and photo sequence tailored to market‑specific keywords and visual cues
- Interactive ROI Simulation: Toggle interventions and adjust costs to view projected revenue shifts in real time
- Custom Model Training: Proprietary model built on the host’s property data and the nearest 20k listings for highly localized insights