Analyse a property listing with AI
Paste a link from any French portal. Aubaine checks it against public data, computes the price gap and explains, in plain terms, whether the asking price holds up.
A property listing is written to sell, not to inform you. The price “matches the market” — but which market? Analysing a listing with AI isn't asking a chatbot for an opinion: it's automatically cross-checking the property against nearby signed sales, the diagnostics and the building's co-ownership, then getting a sourced verdict.
Aubaine doesn't just rephrase the listing. It pulls the surface area, location and property type, queries the DVF database — the real prices recorded at the notary — computes a reference price per m² and compares it to the asking price. The gap, in percent and euros, is the starting point for your decision.
The result: in thirty seconds you know whether a listing deserves a visit. And unlike an opaque score out of 10, every figure links back to its public source — you can verify it yourself.
What AI listing analysis gives you
A price compared to real sales
The AI checks the listing against the DVF database — sales signed at the notary, not estimates. You see the price-per-m² gap against nearby properties that actually sold.
Figures that are never invented
Prices come from public data (DVF, land registry, energy ratings). The AI explains them and highlights what matters — it invents no amount.
The signals to check, flagged for you
A too-good price, an F or G energy rating, an inconsistent surface, a fragile co-ownership: the AI surfaces the points worth a question before the visit or the offer.
Plain language, not jargon
You're not a property expert, and that's fine. Aubaine explains like a knowledgeable friend would, with the right questions to ask at the right time.
How to analyse a listing in 4 steps
- 1
Paste the listing link
From any French portal: copy the URL. Aubaine extracts the surface, location, price and property type automatically.
- 2
The AI queries public data
In seconds, it retrieves comparable DVF sales, the land registry and, where available, diagnostics. It computes a reliable reference price per m².
- 3
You get the price gap, explained
The verdict is quantified: how far the listing sits from the market, and why. The gap is never a final judgement — it's an invitation to dig deeper.
- 4
You ask the conversational agent
“Is this price negotiable?”, “What about the charges?”: the agent answers from the facts and stays with you through offer and signature.
AI listing analysis — frequently asked questions
Go further
Analyse your first listing free
No card, no account. Paste a listing and see, in thirty seconds, what the public data says.