🚀 AI-powered conversational search that enhances property platforms by adding lifestyle-based filtering on top of traditional bedroom/price filters, letting users refine results with preferences like "vibrant area with good coffee and 20-minute commute to Bank for young professionals".
Current property search platforms like Zoopla and Rightmove rely on basic filters (💰 price, 🛏️ bedrooms, 📍 location) that don't capture how people actually want to live - forcing users to manually research dozens of neighborhoods to find areas that match their lifestyle, commute needs, and personal preferences, making property search a frustrating and time-consuming process.
We built an AI-powered conversational search layer that enhances existing property platforms by allowing users to describe their ideal lifestyle in natural language. Instead of just filtering by "2 bedrooms under £2000," users can say:
"vibrant area with good coffee and 20-minute commute to Bank for young professionals" ☕✨
Our AI analyzes neighborhood data including:
- 🚇 Transport times
- 🏪 Amenity density
- 👥 Demographics
- 🌆 Local characteristics
To surface properties that truly match their lifestyle requirements alongside traditional search criteria.
🤖 Anthropic Claude API (Sonnet 4 and 3.5) - Powering the conversational AI agent
🗺️ MapTiler Geocoding API - Location intelligence and regional data analysis
🏡 Custom Rightmove Integration - Property listings
📊 Prolific Research Platform - User studies across UK and US markets
Proving that lifestyle-based property search is a genuine pain point users desperately want solved. ✅
B2B2C model targeting users of major property platforms:
- 🇬🇧 Rightmove, Zoopla
- 🇺🇸 Zillow
Through exclusive partnerships with one dominant aggregator per market. Since these platforms compete fiercely with each other, we aim to give one player in each city a significant competitive advantage through our AI lifestyle search capability, creating defensible market positioning while reaching millions of property searchers through their existing user base. 🚀
Scale through sequential market expansion starting with one exclusive UK aggregator partner, then replicate the model in major rental-stressed megapolises:
🏙️ Target Cities:
- 🗽 New York
- 🌉 San Francisco
- 🗼 Paris
- 🚲 Amsterdam
Securing one dominant platform partnership per city. This creates a global network of AI-enhanced property search while maintaining competitive exclusivity in each market, potentially reaching millions of renters across the world's most challenging housing markets where lifestyle-location matching delivers the highest value. 📈
🚧 API Access Issues: Major property aggregators either don't provide public APIs or recently restricted access, requiring formal partnerships for data integration.
✅ Our Solution: We developed a sophisticated data generation solution powered by high-intelligence search algorithms to create realistic property datasets for demonstration purposes.
🗺️ Mapping Complexity: Accurately mapping London's complex neighborhood boundaries and displaying them interactively proved technically challenging.
✅ Our Solution: We created a unified integration between MapTiler's boundary data and Anthropic's AI model to intelligently parse and visualize geographic regions with precise neighborhood-level granularity.