Using AI for Property Descriptions Without Producing Slop

Listing descriptions are the least enjoyable part of the job and the easiest to do badly. AI helps genuinely, provided you understand exactly what it is doing: rephrasing information you supply, not knowing anything about the property.

Give it real inputs

The output quality is entirely determined by the input. A prompt of "write a description for a 3 BHK in Mohali" produces the generic paragraph you have read a thousand times.

Supply instead:

• Configuration, carpet area, floor, total floors, facing
• Age of the building, and condition honestly stated
• Three specific features — not "spacious", but "22-foot living room"
• One genuine drawback
• Price and what it compares to
• The buyer you are targeting

With that, the output stops being interchangeable.

The structure that works

Opening line: the single most interesting fact. Paragraph 1: the layout and how it lives. Paragraph 2: the building and the locality, with real distances. Paragraph 3: the honest note — what it is not. Closing: price and one instruction.

Ask for exactly this structure. Left to its own devices a model produces one long undifferentiated block of adjectives.

What it consistently gets wrong

Invented specifics. Distances, amenity lists, school names, metro stations. It will produce plausible ones. Verify every single factual claim.

Superlatives. "Stunning", "luxurious", "unparalleled". Strip them all. They carry no information and buyers filter them out.

False precision. "Just 5 minutes from the airport" when it is fourteen. This is the error most likely to cost you credibility on the site visit.

Legal and tax claims. Never publish generated statements about stamp duty, RERA status or tax treatment without checking.

Keep the drawback

Models will happily omit the negative. Put it back in. A description that says "third floor, no lift, which is reflected in the price" outperforms one that hides it, because it filters out the people who would have walked away at the door.

Vary the output

If you generate ten listings the same way, they will read the same way. Rotate the opening line style — a number, a question, a contrast, a sensory detail — so your listings do not become recognisable as templated.

The time saving, realistically

Writing a good description from scratch takes fifteen minutes. With well-briefed AI and a proper edit, about five. Across forty listings a year that is meaningful, but only if you keep the editing step. Publishing the first output is how agencies end up with two hundred listings that all sound the same.