Peek is a comprehensive AI-powered leasing automation platform designed specifically for multifamily operators. It addresses the core challenge of converting leads into renters faster, directly reducing vacant days and boosting property revenue. The platform integrates a suite of tools that streamline the entire leasing cycle, from initial inquiry to signed lease.
Key features include unit-level 3D tours with in-app calls-to-action that drive applications, self-guided tour capabilities, and a conversational AI leasing assistant that engages prospects via chat and during tours. Peek also automates content creation and distribution, ensuring properties have AI-ready content that is more discoverable in tools like ChatGPT and other large language models. Real-time renter behavior analytics provide insights into prospect actions, allowing operators to optimize their leasing strategies.
Benefits are tangible: Peek shortens the leasing cycle, increases sight-unseen leases, and delivers measurable NOI results. By automating repetitive tasks and providing intelligent engagement, it reduces the workload on leasing teams while improving conversion rates. The platform also includes Discover, a feature that tracks a property's visibility across major LLMs, helping operators understand where to focus improvement efforts as AI search becomes increasingly important.
Use cases are ideal for multifamily property managers, owners, and operators looking to cut vacant days and improve lease conversion rates. Whether for a single property or a large portfolio, Peek integrates seamlessly into existing workflows, providing a full-stack conversion engine that doesn't just showcase units but actively drives applications. Technical details include seamless integration with property management systems, support for unit-level 3D tours, and AI-driven analytics that offer actionable insights. With Peek, properties can achieve a faster path to signed leases with less effort and fewer missed tours.
multifamily operators, property managers, leasing teams, real estate investors, asset managers, marketing teams
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