Solutions / Real Estate
AI agents for real estate that qualify, book and follow up — around the clock.
AI agents for real estate are autonomous agents that answer a new enquiry in seconds, qualify it against your criteria, book the viewing in your calendar, and keep your CRM up to date — so leads stop going cold while your team sleeps.
We build them around the portals, CRM and rules your brokerage already runs.
“Good evening. Is the two-bed with the balcony still available? I'd like to see it.”
- Channel
- Property portal
- Listing
- 2-bed with balcony, ref. A-0417
- Received
- Saturday, 22:40
The agent replies with the listing details and asks the qualifying questions your team defined.
- Budget
- Up to €320,000
- Financing
- Mortgage pre-approved
- Timeline
- Buying within 3 months
Meets the criteria → on to a viewing. If not (no financing, wrong area), it goes into a follow-up sequence instead of taking a slot in the diary.
- Result
- Qualified lead
The agent checks the real calendar, offers slots, confirms the viewing and sends a reminder the day before.
- Viewing
- Monday, 18:30
- With
- The area's sales agent
- Reminder
- The day before, by SMS
The conversation, the qualifying answers and the viewing land in the CRM, so the sales agent walks in with the full picture.
- Deal stage
- Viewing booked
- History
- Conversation logged
- Next step
- Follow-up after the viewing
Fictitious data to explain the flow: the property, the lead and the criteria are examples, not a client's data.
Where it usually breaks
- Leads go cold before agents respond
- Double-booked showings frustrate buyers
- Slow property valuations lose listings
Case study· Portugal
A real example: Seed Real Estate's deal and finance workflows
Seed Real Estate, an investment property team in Portugal, ran deals across marketing, agents, back office and finance on email and checklists, with no single view of where each deal stood. We built two AI workflows in n8n that now run in production: one keeps every deal in sync from ClickUp to Slack with Airtable as the system of record; the other reconciles bank statements against InvoiceXpress invoices, with OpenAI categorising each transaction.
The reconciliation cycle now runs autonomously in 6 hours, and Excel is no longer the system of record. It's the back-office side of a property business rather than lead handling — the same engineering we point at enquiries and viewings. Read the Seed Real Estate case study.
Published results
- 6hBank statement reconciliation cycle, autonomous
What are AI agents for real estate?
AI agents for real estate are software agents that handle the repetitive lead and listing work a property business runs on: they read an incoming enquiry from a portal, your site or WhatsApp, qualify it, answer property questions, book a viewing, and log everything to your CRM — end to end, without a person in the loop until one is needed. Speed-to-lead is the whole game in property, and an agent's first response is measured in seconds, not the hours a busy team takes to call back.
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This is custom agent work pointed at your sector — the same engineering behind the rest of our AI agent work and our customer-service agents, built around your stack rather than a closed product. (It's agents for a real-estate business — brokerages, developers, property managers — not a tool resold to individual realtors.)
Top use cases for AI agents in real estate
Six workflows where an agent pays back first in a sales, lettings or property-management business. Each runs end to end in your systems and hands off to a person when an offer, a negotiation or a judgement call is on the table.
Lead qualification & speed-to-lead
Answers every new enquiry in under a minute, 24/7, asks your qualifying questions (budget, location, timeline, financing) and scores the lead before it cools — across portal, website, WhatsApp and email.
See this flow in the exampleProperty viewings automation
Checks the sales agent's live calendar, offers slots, books the viewing and sends reminders — and reschedules no-shows automatically instead of leaving the slot empty.
Listing questions & valuation follow-up
Answers questions about a specific listing — price, square metres, floor, availability, documents — from your live listing data, and follows up valuation (appraisal) requests from vendors before they list with someone else.
CRM hygiene & follow-up
Logs every conversation, updates the deal stage and runs the follow-up sequence so no lead sits untouched — the admin that quietly kills conversion when a team is busy.
Sales & tenancy progression
Collects and checks the documents a sale or tenancy needs to progress (ID, proof of funds, references, contracts), chases what's missing, and moves the file to the next stage instead of leaving it in someone's inbox.
After-hours & overflow cover
Covers evenings, weekends and peak-volume spikes — the hours when most property enquiries actually land — so you stop losing the lead to whoever replied first.
Agents already designed for this sector. Each one is adapted to your stack before it goes live.
- Lead Qualifier
Focus agents on hot prospects.
- Appointment Setter
Book more showings with zero admin.
- Property Lead Engagement System
24/7 lead nurturing and conversion.
- Property Valuation Agent
Win more listing appointments.
- Real Estate Valuation Intelligence
Accurate property appraisals.
- Tenant Screening Agent
Reduce vacancy time.
- Lease Renewal Assistant
Renewal offers sent before leases expire.
Portal bot, custom agent, or your team doing it by hand?
Portal autoresponders and CRM chatbots capture a name and stop there. A custom agent qualifies, books and updates your systems — and a busy team can't match its response time on nights and weekends, which is exactly when the leads come in.
- What we build
Custom AI agent
Qualify-and-book
- First response time
- Under 60 seconds
- Qualifies against your criteria
- Yes
- Books the viewing in your calendar
- Yes
- Updates your CRM automatically
- Yes
- Works portal + WhatsApp + email
- Yes
- Covers nights & weekends
- Yes
- Cost at 10× enquiry volume
- Flat
Portal / CRM bot
Autoresponder
- First response time
- Instant canned reply
- Qualifies against your criteria
- No
- Books the viewing in your calendar
- No
- Updates your CRM automatically
- Partial
- Works portal + WhatsApp + email
- One channel
- Covers nights & weekends
- Yes
- Cost at 10× enquiry volume
- Flat
Manual today
Sales agent calls back
- First response time
- Hours — or next day
- Qualifies against your criteria
- Yes
- Books the viewing in your calendar
- Yes
- Updates your CRM automatically
- If they remember
- Works portal + WhatsApp + email
- Yes
- Covers nights & weekends
- No
- Cost at 10× enquiry volume
- More headcount
AI automation for estate and letting agents across Europe
Portals the agent reads
- Idealista · PT
- Imovirtual · PT
- Rightmove · UK
- Zoopla · UK
- Funda · NL
- ImmoScout24 · DE
Data entry between portal, CRM and back office
Portal enquiries, viewing feedback and offer details keyed into the CRM by an agent instead of a negotiator at 9pm — still the most common automation request we get from agencies.
Listing descriptions
Drafts the listing description, key features and portal copy from the property data you already hold (rooms, area, energy rating, location) in your house style, for a person to approve before it goes live.
Commercial and residential
The same pattern works for commercial lettings and property management: enquiry triage, viewing coordination, maintenance requests and renewal reminders, each wired to the system of record you use.
The order that pays back fastest
- Lead response
- Viewings
- Progression
- Data entry
Read the full answerShow less
AI automation for real estate agents isn't one tool. It's an agent on each repetitive step between a portal enquiry and a signed offer or tenancy. For an estate or letting agency, the order that pays back fastest is lead response first, then viewings, then progression and data entry — the work that grows with enquiry volume, not with how good your negotiators are.
We build for agencies, developers and property managers in Portugal, the UK, the Benelux and DACH. In practice the agent reads leads from the portals each market runs on — Idealista and Imovirtual in Portugal, Rightmove and Zoopla in the UK, Funda in the Netherlands, ImmoScout24 in Germany — usually from the lead email or your CRM feed, and replies in the buyer's language.
Before you sign
Choosing an AI automation agency for real estate: five questions
Plenty of AI automation agencies sell real-estate firms the same chatbot template. Before you sign with anyone — us included — get a straight answer to these five questions.
Who owns the code and the accounts?
You should. We build on your stack and hand over the code, the prompts and the model accounts — no per-seat licence, no lock-in.
How is it tested before it talks to a buyer?
Every agent we ship comes with an eval harness: it runs against your real past enquiries before launch and starts behind a human review step.
What does it cost to run?
Ask for the build price and the running cost separately. Ours: a fixed price per agent (see pricing below), plus model tokens with a cost ceiling per run.
Where does the lead data go?
Enquiries are personal data under GDPR. You should know where each message is processed, which processors touch it and how long it's kept — before the first lead goes through.
What happens when it doesn't know?
It should hand off to a named person with the conversation attached — and never guess a price, an availability date or a legal answer.
How much does an AI agent for a real estate agency cost?
A first production agent on one workflow — usually lead qualification with viewing booking — starts at €1,500, fixed price, delivered in about two weeks (~12 business days). Multi-step agents with CRM and calendar integrations start at €2,500 per agent. After launch you pay the model tokens per conversation, capped per run; there's no per-seat licence, so the cost doesn't grow with the size of your team.
- ✓One agent, one workflow
- ✓Eval harness included
- ✓2-week delivery
- ✓Multi-step workflows
- ✓Tool-use & integrations
- ✓Cost ceiling per run
- ✓Audit log on every field
- ✓On-prem or private cloud
- ✓HIPAA / GDPR posture
- ✓SLA & support
- 0130 minAssessment
30 minutes with a principal engineer. We map your workflow and find the highest-impact agent.
- 02~12 business daysPilot
One agent in production in ~12 business days. Fixed price.
- 03With every agentEvalsAutomated quality tests
Every agent ships with an eval harness (a suite of tests run against real cases) and a cost ceiling per run.
- 04OngoingRoll-out
Scaled across the operation, documented, handed over. No lock-in: the code and the accounts are yours.
AI agents for real estate are autonomous software agents that handle the repetitive lead and listing work in a property business — qualifying enquiries, answering listing questions, booking viewings and updating your CRM, end to end, with a handoff to a human when a deal is ready. Unlike a portal autoresponder, they reason over your live listing and calendar data, so they can actually book the viewing instead of just capturing a name.
We build agents for a real-estate business — a brokerage, developer or property manager — that run your lead, viewing and listing workflows. That's different from off-the-shelf tools marketed to individual realtors. The agent is custom-built around your portals, CRM and rules, and it's yours; there's no per-seat product to log into.
Idealista, Imovirtual and the portals you advertise on, your website forms, WhatsApp and email on the front; HubSpot, Salesforce, or your in-house CRM on the back. Anything with an API or webhook can be wired in — the agent joins the stack you already run.
First response in under a minute, any hour. It asks your qualifying questions, scores the lead, checks the agent's live calendar and books the viewing — then sends reminders and reschedules no-shows. Speed-to-lead is the single biggest lever on conversion in property, and that's exactly the gap a 24/7 agent closes.
Two to four weeks for the first production agent on one workflow — usually lead qualification — at a fixed price, then we widen scope once it holds. Your only running cost is the model tokens; there's no per-seat tax and no lock-in, because we build against your systems instead of a closed platform.
There's no single best one. Portal autoresponders and CRM add-ons are fine for capturing a name. A custom agent earns its cost when leads arrive from several portals plus WhatsApp and email, and you need them qualified and booked into viewings in your own CRM and calendars. Start with the workflow where leads go cold today — usually evenings and weekends.
Listing descriptions, yes: the agent drafts the description and portal copy from your property data in your house style, and a person approves it before it goes live. Virtual staging — furniture generated into empty-room photos — is an off-the-shelf tool category we don't rebuild. If you use one, we connect it to the listing workflow and make sure staged photos are clearly labelled as staged.
Yes, and it's one of the highest-value places to put it. A vendor asking what their home is worth is usually talking to more than one agency, so response time decides who gets the visit. The agent replies within minutes, books the valuation visit in the valuer's calendar, and keeps following up until the vendor books or says no — every touch logged in your CRM.
Book your assessment.
Talk directly to a principal engineer.
No sales team.
No discovery workshops.
No procurement circus.
We scope, build and ship.
- Reply within one business day
- Engineer-led assessment
- Written proposal
- Lisbon · UK time zone
No commitment. Just an engineer.