Douglas Elliman
The Next Move Is Yours: Luxury Real Estate Powered by Proprietary Intelligence.
The industry's most advanced semantic property matching engine for hyper-personalized real estate discovery.
Homes.com AI Property Match represents a paradigm shift in real estate discovery, moving beyond traditional filter-based searches to a deep semantic understanding of buyer preferences. Built on the CoStar Group’s multi-billion dollar data infrastructure, the engine utilizes advanced Natural Language Processing (NLP) and Computer Vision to analyze millions of property listings and local neighborhood data points. For the 2026 market, the tool positions itself as the primary challenger to Zillow, emphasizing a 'Your Listing, Your Lead' philosophy that removes intermediary friction. The technical architecture leverages vector embeddings to represent property features such as architectural styles, natural lighting, and proximity to specific community amenities. By calculating a 'Match Score' (0-100%) for every listing based on a user's unique behavioral profile and stated requirements, the platform significantly reduces the time-to-transaction for buyers and increases lead quality for agents. It integrates high-resolution neighborhood filming and local expert data to provide a contextualized search experience that standard MLS aggregators cannot replicate, making it a critical asset for the modern agent's lead-gen stack.
Uses vector-based similarity search to compare user profiles against property attributes beyond text descriptions, including visual data.
The Next Move Is Yours: Luxury Real Estate Powered by Proprietary Intelligence.
Real-time MLS data orchestration for precision residential property scouting and neighborhood intelligence.
Predictive Real Estate Intelligence for Hyper-Local Market Dominance.
The first AI-powered collaborative real estate platform designed for the social home-buying experience.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Aggregates localized data from thousands of sources to score neighborhoods on walkability, safety, and community vibe.
Real-time sync between agent and client dashboards with AI-suggested 'Best Fit' labels.
Ensures leads are sent directly to the listing agent without 'premier agent' middleman logic.
Neural networks analyze property photos to verify features like 'Chef's Kitchen' or 'Hardwood Floors' automatically.
Analyzes economic trends and migration patterns to suggest emerging neighborhoods.
LLM-powered interface allowing queries like 'modern homes with large backyards near top-rated elementary schools'.
Standard filters can't find specific styles like 'Mid-Century Modern with a pool'.
Registry Updated:2/7/2026
Agents spend hours manually selecting listings for picky clients.
Finding undervalued areas with specific amenities.