AI property descriptions: 15 minutes per listing instead of 2 hours
Writing a listing well takes time — and most agencies don’t have it. The result is generic text that doesn’t sell. How AI changes this without falling into the "2000s portal style".
A good property description sells. A bad one scares buyers off and drags the asking price down. Everyone agrees on this — and then everyone posts the same generic text: "Excellent 3-bedroom in great area, unobstructed views, ideal for family."
The real problem is time. An advisor has 40 properties in their portfolio. If a good description takes 2 hours, that’s 80 hours of writing — that nobody has.
What AI changes (and what it doesn’t)
Changes:
- Feed it the technical sheet (area, layout, year, orientation, basement, elevator, energy), photos and location — a 250-400 word draft comes out in 90 seconds.
- The draft is already specific — not "great area", but "5 minutes on foot from Rossio station, bakery and grocer on the same street".
- Adapts to the likely buyer profile (young couple vs. family with kids vs. rental investor).
Doesn’t change:
- Verifying factual information. The agent might say "east-facing" — the advisor confirms. Errors here destroy credibility.
- The advisor’s eye for the detail that matters (does the balcony actually have a view, or does it face the neighbour?). That’s a person who’s been to the property.
- Legal adaptation. Real estate descriptions have restrictions — no promises, no discrimination. A person reads before publishing.
The pattern that works
The advisor now spends 15 minutes per property: 90 seconds for the draft, 12-13 minutes to verify facts, tune tone, correct anything generic, add two sentences only they know (the corner bakery with the best bread in the area; the park 200m away).
Result, measured across four portfolios:
- Time per listing: ~2h → ~15 min.
- Volume of listings with a "quality" description: doubles or triples.
- Portal clicks: +25-40% (Idealista, Imovirtual, Rightmove and similar).
- Qualified enquiries per listing: +15-30%.
Mistakes to avoid
- Publishing without reviewing. A "3-bedroom with sea view" in landlocked cities is the office joke of the week — and nobody’s buying with you after that.
- Letting discriminatory adjectives through ("for traditional families", "quiet, safe neighbourhood"). AI sometimes drifts there. A person reads before publishing. Always.
- Copying the draft into 40 properties and ending up with all of them alike. The gain is writing distinct descriptions quickly — not the same description 40 times.
One step further: multi-channel descriptions
The same input (sheet + photos) can generate:
- Long description for portals.
- Short post for Instagram/Facebook (with contextual hashtags).
- Google Ads copy (headline + two descriptions, within character limits).
- Summary PDF to email to buyers.
For an agency active on multiple channels, this economy — same source text, multiple forms — adds up to many hours per week. And pays for the investment in two.