AI agent for real estate: shortlist, budget, viewing booking

Clients search for apartments and houses by parameters: neighborhood, price, area, floor. Managers can't process every request, and inquiries outside working hours often go to competitors. An AI agent on your website and in messengers clarifies the criteria, gives guidance on properties from your database, and offers to leave a request for a shortlist or a viewing.

The agent is trained on your properties (or typical listings), neighborhoods, and terms. It doesn't replace a real estate agent, but it qualifies leads and collects contact details for a callback or a shortlist. For complex requests (mortgage, exchange), it offers to leave a request so a manager can get in touch.

Requests go to your dashboard and, if needed, to a messenger. You don't lose clients at night and on weekends, and managers get relief from initial inquiries.

Upload descriptions of your properties or typical offers, neighborhoods, and price guidance. Add an FAQ: mortgage, documents, how to book a viewing. The agent will use this in its answers and offer to leave a request for a shortlist or a viewing.

Turn on request capture and, if you like, Telegram notifications. Place the website widget on the home page and on property pages. For clients who write outside working hours, the agent becomes the first point of contact and records their search criteria.

Update the knowledge base when new properties appear and prices change. That way the agent offers current options and passes hot clients to agents with the context already collected.

Companies report more requests from their website and messengers, especially outside working hours. Managers spend less time on initial screening and more on shortlists, viewings, and deals.

A consistent tone and reliance on current properties reduce confusion. The client comes to the agent with criteria already collected: neighborhood, budget, property type.

Launch takes one day: upload properties or typical offers and configure request capture. When new properties appear or prices change, the knowledge base is updated in minutes.

The agent doesn't replace a real estate agent: it clarifies criteria (neighborhood, budget, number of rooms), gives guidance on properties from the uploaded database, and offers to leave a request for a shortlist or a viewing. The manager receives a qualified lead with the client's preferences already collected and can start preparing options right away.

Requests outside working hours are a common case in real estate: people browse listings in the evening and want details or to book a viewing. The AI chat records their interest and contact details, and in the morning an agent contacts the hot client. Keeping properties and prices updated in the knowledge base lets the agent offer current options and avoid confusing clients with outdated information.