Real Estate

The enquiry came in at 10pm. Your agent was asleep.

A buyer finds your listing at 10pm, sends an enquiry, and waits. Your agent replies at 9:30 the next morning. By then the buyer has sent the same message to four other agents, and one of them answered in two minutes.

That is a timing problem rather than a quality problem. Portal leads go out to several agents at once, the buyer talks to whoever replies first, and everything your agency does well after that point only matters if you get to that point.

GACS AI answers the enquiry while it is still live. It knows your listings, it answers the questions a buyer or renter actually asks, it collects what your agent needs to know, and it hands over a person who is already partly qualified.

AI chatbot for real estate agents
Same Questions, Every Listing

The four questions property buyers and renters actually ask

Is it still available

The first question on almost every enquiry, and the one that costs an agent the most time for the least value.

is the 2 bed in that building still available
Yes, that 2 bedroom is listed as available. Would you like to see the full listing, photos and price?
What is the service charge or maintenance fee

The question that decides whether a buyer keeps reading, and the one most often buried three clicks deep on a listing page.

whats the service charge on that one
The service charge for this unit is listed per square foot per year, and I can work out the annual total for you. That figure comes from the published service charge schedule. Would you like me to send it over?
Can I view it this weekend

The point where a browsing enquiry becomes a real one.

can I see it saturday afternoon
I can get that set up. What time on Saturday suits you best, and is a second time worth holding as a backup? I will pass both to the listing agent, who will confirm with you directly.

The agent collects preferred viewing times and hands them to a person. It does not put the appointment in a calendar itself. Calendly booking is in build, and until it ships, viewing confirmation stays with your agent. That is a smaller claim than some real estate chatbots make, and it is the true one.

What is nearby

Schools, metro, malls, the beach, the commute. The questions that make a buyer picture living there.

how far is it from the metro
The listing gives the distance to the nearest metro station, along with the schools and malls nearby. Would you like me to send those details? Anything you want me to check on the building itself?
Catalog Cards

Your listings inside the chat

A chatbot in real estate is only useful if it knows the stock. GACS AI uses dynamic catalog cards, which were built for exactly this. Your properties load as cards inside the conversation, with the detail you choose to show, so a buyer who asks for two bedrooms under a budget sees matching units in the chat rather than a link back to a search page they already gave up on.

The agent answers from material you control. You import your website by URL, so the listing pages the agent reads are the ones your team already maintains. You upload PDFs such as brochures, floor plans, payment plans and service charge schedules. You add manual entries for the things your agents know and nobody published. You connect a Google Drive folder or a Notion workspace that stays in sync, which matters when availability changes daily.

Keep the catalog current and the agent is current. There is no separate listing database to maintain, and no live portal lookup to configure.

Lead Qualification

Qualification before an agent picks up the phone

This is the commercial argument for an agency, and it is about where your agents spend their hours.

Most inbound property enquiries are not ready. A buyer who sends six enquiries at midnight is comparing, not buying, and an agent who calls all six back learns that one at a time at twenty minutes each.

GACS AI captures a name, an email and the stated intent of the enquiry. In a property conversation that intent is the useful part. Which unit, buying or renting, what budget, when they want to move. Your agent gets a conversation that starts at the second question instead of the first, with the full transcript attached so nothing is repeated back to the buyer.

Zendesk CX Trends found that 62% of CX leaders say they are behind on the instant experiences customers now expect. In property that gap is measured in minutes, because the buyer is talking to your competitors in the same hour.

WhatsApp

WhatsApp, where property enquiries actually arrive

Property enquiries come in on WhatsApp constantly. Agents hand out numbers, portals pass through contact details, and buyers send a voice note about a listing at 11pm on a Friday.

GACS AI runs WhatsApp Business on your own number, through Meta's official Cloud API signup flow, set up from the dashboard without a developer. The buyer messages the number on your sign or your portal profile and gets an answer from the same knowledge base that powers your website chat. Your agent takes the conversation over in the same thread when it is worth their time.

Read more about WhatsApp

Languages

Arabic and English in the same conversation

In the UAE a single enquiry often switches language mid thread. GACS AI handles 50+ languages, including Arabic and English inside one conversation, so a buyer who opens in Arabic and continues in English is not starting over.

Read more about Arabic support

Handoff

What it hands to a human

The agent answers published information. It does not take over the deal.

Handoff carries the full transcript. Your agents also get AI reply suggestions drawn from the same knowledge base, with the agent deciding what actually gets sent.

FAQs

Frequently asked questions

Yes. Dynamic catalog cards display your properties inside the conversation, with the fields you choose. The catalog is yours to keep current.

Not today. It collects preferred times and intent, then hands to your agent to confirm. Calendly booking is in build.

Yes. WhatsApp Business runs on your own number through Meta's official Cloud API signup flow, from the dashboard.

It says it does not have that information and offers a person. It does not invent an availability date, a price or a service charge.

Next step

Bring ten real enquiries from last week, in the words the buyers used. We will run them through the agent against your own listings and you can see which ones it answers and which ones it hands over.