Where it already works
Property descriptions
The most mature use. From features and photos to running copy, in minutes rather than an hour.
Transcribing walkthroughs
Talk your way around the house, have it written up and returned as structured detail. Saves taking notes while you walk.
Social posts
From the same property data, a post for Instagram or LinkedIn, with and without the asking price.
Summarising
Long documents, surveys or email threads reduced to what you need to know.
Translating
Listings into English for expat lettings or international buyers.
Tidying photos
Straightening, correcting exposure, furnishing empty rooms digitally. Provided you label honestly what was altered.
Where it is not ready
- Valuation. A model that names a price does so from patterns, not from this property. A valuation is human work with liability attached.
- Structural assessment. Recognising cracks in a photo is not the same as knowing what they mean.
- Legal advice. Ground lease, permits, title splits. Here a model sounds convincing and is regularly wrong, which is the most dangerous combination there is.
- Floor areas from photos. There is no reliable way to get square metres out of an image. Anyone promising that is selling you a risk.
Three things to watch
- 01
Invented detail
Every language model fills gaps with what sounds plausible. In a listing that means a fireplace that is not there. Choose tools that work from fixed fields, and always read the result.
- 02
Personal data
Details about a vendor are personal data. A divorce, a bereavement, a financial situation: that does not belong in a chatbot without a data processing agreement. Business interfaces usually have one; consumer accounts do not.
- 03
Who is responsible
You are. Always. A model is a tool, not a colleague. What appears in the listing appears under your name and falls under your duty of disclosure.
What it saves in hours
Run the numbers for your own office. A property description takes thirty to sixty minutes by hand. At ten properties a month and an hourly rate of eighty-five euros, that is a substantial cost nobody ever invoices, because it counts as "part of the job".
Which is exactly why descriptions are the first place AI lands in this industry: the work repeats, it happens often, and the quality is measurable.
How to judge a tool
Five questions that cut through most of the noise:
- What do I have to put in before anything usable comes out? If the answer is "type everything", you save nothing.
- What does it do when information is missing? Invent, or report?
- Where does my data sit, and is there a data processing agreement?
- Who owns the output, and do I keep it if I leave?
- Can I try it for a month without handing over payment details?
Where MakelAI sits in this picture
We do one thing: property descriptions. From your photos and a handful of ticks to a complete listing, with no invented features. Here is how that works, and here are six examples so you can judge for yourself.
Transcribed walkthroughs, viewer feedback and social posts are being built. What is finished and what is coming is kept on the roadmap.
Frequently asked questions
Which AI tools are useful for estate agents?
Right now, mainly tools for repetitive writing: property descriptions, social posts, translations and transcribing walkthroughs. Image editing is arriving, provided you label what was altered. Valuation, structural assessment and legal advice are not jobs for AI.
Is using AI compatible with the GDPR?
Yes, provided you watch what you put in. Property features are not personal data; details about the vendor are. Work with a party that has a data processing agreement and keep special categories of personal data out of chatbots.
Will AI replace estate agents?
It will take over the part nobody pays for: retyping, rewriting, summarising. It will not take over the part you are hired for, which is walking into a house and knowing what it is worth, and getting a vendor through a difficult week.
Start where the time actually goes
Property descriptions. A free month, ten of them, no card.