A decade of booking data now fuels intelligent insights to help property managers boost revenue with zero manual setup.
New York, USA, 2 December 2025 – Guesty, one of the world’s leading short-term rental (STR) software platforms, has unveiled a groundbreaking AI Agent for revenue management, introducing what the company calls the first fully embedded intelligence layer that unifies pricing, availability, policy data, and listing performance directly within its platform.
Designed for simplicity and real-world impact, the new AI-driven tool uses Guesty’s extensive booking history spanning more than ten years to help operators detect performance trends, identify revenue-impacting issues, and take faster, smarter action. According to Guesty, the system requires no configuration or manual setup, making advanced revenue optimization accessible to everyone from individual hosts to global property management firms.
Guesty CTO Gil Wasserman described the launch as a major milestone in the company’s AI journey. He emphasized that the platform’s mission is to equip operators with AI that directly drives revenue, not just insights.
“Within the next couple of years, the way property managers operate will be unrecognisable,” Wasserman said. “This launch is only the beginning of our broader expansion into multi-agent AI across operations, automation, messaging, and portfolio-level intelligence.”
Guesty’s AI roadmap is accelerating rapidly, following recent enhancements across listings, reviews, communication tools, websites, and protection services. Today, Guesty powers more than 500,000 properties in over 100 countries and is supported by $410 million in investment from leading global firms, including KKR, Apax Digital Fund, Inovia Capital, and Sixth Street Growth.
The newly released Revenue Management Agent represents a key advancement in the growing role of artificial intelligence in the short-term rental sector, helping operators prevent revenue loss, streamline decision-making, and adapt more effectively to shifting market conditions, all from within their property management system.
