AI chatbot for Real Estate Agents

Pre-qualify requests instead of calling them all back

Buy or rent, apartment size, neighborhood, budget — the AI chatbot pre-qualifies requests in a structured way and hands only serious prospects over to your agency team.

No sign-up · GDPR-compliant

Chatbot for my agency

Sound familiar?

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Many first contacts aren't qualified — you spend hours on the phone

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Preferences get captured incorrectly, appointments are wasted

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Requests come in from every neighborhood — you have to go through them all one by one

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Buyers and renters get mixed together in the request pool

How Smartwebchat helps you

Buy vs. rent

Structured initial screening — buyers and renters are qualified separately.

Budget range

The bot asks about budget in a structured way — requests outside the budget range are filtered out.

Preferred neighborhood

Neighborhoods are captured in a structured way — filtered by local availability.

Property criteria

Rooms, square meters, balcony, elevator — structured capture of desired criteria.

No sensitive documents

Credit checks and proof of income are NOT requested — a GDPR-compliant first contact.

Structured handover

Qualified requests land directly in the agent's inbox or CRM.

This is what your chatbot sounds like

I'm looking for a 3-bedroom apartment to rent: We're happy to help with your apartment search! 🏠 So our team can filter the right listings for you: • Preferred neighborhood(s)? • Budget range (all-inclusive rent)? • Move-in date? • Balcony, elevator, parking spot needed? I'll pass your search criteria to our agency team — you'll receive matching listings by email.
What does an apartment in the city center cost?: Prices vary a lot by location, size, and finish — so a general answer wouldn't be very meaningful. For specific listings in our city, feel free to share: • Buy or rent? • Preferred neighborhood? • Size (rooms / sqm)? • Budget range? I'll pass your search criteria to our team — you'll receive a curated selection by email.
I'd like to sell my house — how does that work?: Sure! 💼 We'll appraise your property free of charge. We just need: • Address • Property type (single-family, multi-family, apartment) • Year built • Living area Our agent will visit in person and give you an initial market-value estimate. Would you like to schedule an appointment?

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Why an agency's own site now does something different than the listing portal

The property search begins on a portal now, not on the agency's own site

In most markets, a buyer's or renter's first stop is a listing portal, not the website of the agency handling the sale. For the agency, that isn't a loss of relevance so much as a shift in what the site is for. It's no longer the place where the property gets found — it's the place where the visitor decides who to work with. That changes what the site needs to answer. Not the listing itself, which already lives somewhere more current, but how the agency works, what it costs to use an agent, and how the process runs from first contact to signing. Those are exactly the questions a portal listing doesn't answer, and they're the questions a chatbot can hold a structured conversation about.

The mandate comes from the seller; the traffic comes from the buyer

Buyer inquiries generate phone calls; seller mandates generate revenue. Most agency websites are still written for the buyer's side, because that's the visible traffic. Someone weighing whether to sell is searching for something different: what an agent typically costs, how a valuation visit works, how long a sale usually takes, and what happens if the property doesn't sell in the expected window. Those questions get typed into a search box in the evening, long before anyone picks up the phone. A chatbot that answers them calmly and then offers to schedule a valuation visit sits at exactly the point where the mandate gets won or lost.

Buyers and renters have process questions a portal listing never answers

How does making an offer actually work, what happens once an offer is accepted, what conditions are typically attached to an offer, what happens between an accepted offer and the transfer of ownership — a portal listing shows photos and a price, not process. These are questions a visitor brings to the agency's own site because there's nowhere else to ask them, and they can be answered in general terms without straying into advice about one specific transaction. That distinction is one a chatbot can hold reliably: explain how the process generally works, and route anything specific to an actual property back to the agent.

Unqualified viewing requests are the most expensive line item

A viewing costs travel time, key handling, and the seller's patience — all of it spent whether or not the visitor turns out to be a fit. A request with the wrong budget, financing not yet arranged, or an expectation that doesn't match what's on offer costs the same as a good one and produces nothing. A first contact that captures buy-or-rent, general area, timeline, and budget range up front turns an inbox of one-line messages into a list an agent can act on directly. The bot doesn't decide who gets invited to view a property — it records what the visitor states, and the agency decides.

Cross-border and relocating clients ask more, not less

A market with international buyers, renters, and relocating professionals has a client segment a domestic-facing site tends to under-serve: people evaluating a property market they've never worked with before. What's normal here often isn't normal where they're moving from, and that gap shows up as a wave of near-identical questions the agency ends up answering by phone, in whatever language happens to be available at the time. A chatbot that runs in more than one language and holds the same structured conversation regardless is a direct answer to that segment, not an add-on.

What never gets collected can't leak

Smartwebchat doesn't ask about income, savings, or debts, and it records nothing of that kind as a structured field. What reaches the agency are the contact details a visitor enters themselves and a short summary the bot writes of the request — much like a phone note, so the office can call back. If someone does name a figure, it sits in the conversation history, which is deleted automatically after 30 days, while the request itself stays until the retention period set for each assistant expires (12 months by default). Hosting stays within the EU, and a data processing agreement under Article 28 GDPR covers the setup regardless of where the agency itself is based.

Frequently asked questions

Can the chatbot estimate a property's value or quote a number?

No. A valuation depends on the property, its condition, and the local market, and that judgment stays with the agent. What the bot does is take the request for a valuation — address, property type, reason for selling, and timeline — so the agent calls back with a complete picture already in hand. It never states a value, not even a rough one.

Can it schedule viewings?

It captures the request in a structured way — the timeframe that works and the details the agent needs — and the agency confirms. Full automatic scheduling is possible with a calendar connection, but for viewings that's rarely the right call: the seller's availability usually matters more than the agent's calendar.

Can the chatbot explain how making an offer works?

In general terms, yes, and for buyers that's often the most-searched information the agency can offer. How an offer process typically runs, what happens once an offer is accepted, and what conditions are commonly attached to an offer can all be explained. What's advisable for one specific offer is advice, and for that it hands off to the agency.

Can it say anything about fees?

Whatever the agency itself publishes. Because agent fees, and who pays them, vary by market and clients compare, this is often exactly why someone lands on the site in the first place. Where the bot adds value is clarifying what's included and what isn't — that's where misunderstandings start, and it can be explained without quoting a number for a specific deal.

Can the chatbot separate buyers from sellers?

Yes, and that's the most important fork in the whole conversation. The first question sets the path: someone looking to sell gets routed toward valuation and process, someone searching gets routed toward viewings and the offer process. Both then arrive with the agency already sorted, instead of landing in one undifferentiated inbox.

Does it ask about income or how much financing someone qualifies for?

No. Financial details aren't collected. The bot can ask whether financing is already arranged — a yes or no, no amounts — because that's relevant to scheduling a viewing, and the visitor decides what to answer.

Does this work for rentals as well as sales?

Yes. Renting and buying get separate conversation paths, because the questions differ: for a rental it's move-in date, lease length, and terms; for a purchase it's budget and financing status. Letting the two blend together is exactly what makes a request inbox unusable.

Can it answer questions about conditions attached to an offer, or what happens after an offer is accepted?

In general terms — how they typically factor into a transaction and what's common. What's written into one specific agreement stays in that agreement, and the bot doesn't rule on it; that boundary is stated explicitly in the conversation.

Can the chatbot show our current listings?

It can link to the agency's listings page and take questions about it. It doesn't maintain its own property database — the listings already live somewhere current, and a second list that falls behind is worse than no list. Where it adds value is everything around the listings, not the listings themselves.

Is this usable for commercial property as well?

Yes, with a different setup. Commercial inquiries center on floor area, intended use, fit-out condition, and availability date rather than neighborhood and budget. The underlying approach is the same: identify the category, capture the details, hand it off.

Can it run in more than one language?

Yes. In markets with international buyers, renters, or relocating clients, that's often the direct reason to set it up: explaining how buying or renting works to someone coming from an unfamiliar market takes real time on the phone, every time.

How does this compare to a contact form?

A form produces a text box the agency has to interpret. The bot asks the follow-up question itself and delivers a filled-in picture: buy or rent, area, timeline, contact details. The difference shows up mainly in how much of the callback round trip disappears.

Who is responsible for what the bot says?

The agency. The bot answers based on what the agency maintains and makes no statement about value, offers, or the terms of a specific agreement. The accuracy of published fees, process descriptions, and how the agency works is the agency's responsibility.

How long does setup take?

The starting point is information the agency already has: coverage area, services, how the agency works, whatever fee information it already publishes, and the questions that come up most often. That's hours of work, not an IT project. Changes after that are the agency's own to make.

Can it be turned off temporarily?

The greeting, the answers, and the FAQ set are the agency's own to change at any time — no support ticket, no waiting. During a busy stretch, that's how the usual invitation to book a viewing gets replaced by a waiting-list message. What there isn't is a separate on/off switch: taking the bot off the site entirely means removing the embed snippet from the page.

Does the bot ever make a statement about a specific contract or transaction?

No. It explains how things generally work and takes structured information; anything specific to one property, one offer, or one agreement goes to the agent. That line is drawn on purpose, not as a limitation but because it's where liability actually sits.

What happens to the data a visitor enters?

It's stored under a data processing agreement covering Article 28 GDPR, hosted within the EU. What's kept is the name, the contact details, the search profile a visitor gives (budget, rooms, district) and the conversation history — no ID documents, no financial paperwork, no credit-score data. The conversation history is deleted automatically after 30 days; that period is fixed and can't be changed per account. The request itself stays until the retention period set for each assistant expires (12 months by default).