Falsa: Property Recommendations From a Live MLS Feed
Falsa wanted property buyers engaged the moment they started looking, not when an agent freed up. We built the chatbot that answers first.
Buyers don’t wait
House hunters browse at night and message several brokers at once. The slow reply loses by default.
The data lived in the MLS
Inventory sat in a listing feed that generic chat tools couldn’t query, so answers meant a human copy-pasting listings.
Conversational property search
Buyers describe what they want in plain language: budget, area, bedrooms, vibe. The bot does the searching.
A live MLS integration
Recommendations come from the live feed, so every property suggested is actually available.
Lead capture in the flow
Interest converts into a qualified enquiry with the conversation attached, so agents start warm.
Falsa’s listings experience works like messaging a knowledgeable agent who never sleeps. Buyers get answers in seconds; agents get warm, contextual leads instead of cold form fills.
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43+ happy clients · rated 4.9/5 · senior engineers on every build