9 June 2026 · 6 min read
ChatGPT for Property Descriptions: Where It Works and Where It Bites
Let's be honest first: ChatGPT can write a decent property description, and plenty of agents use it. If you're disciplined with prompts and rigorous with checking, it works. But there are four places where general-purpose AI quietly costs you — and they're worth understanding whichever tool you use.
1. It embellishes by default
Large language models are trained to be helpful and fluent, and a "good" property description in their training data is full of confident claims. Ask for a description of a three-bed semi and you'll routinely get "sought-after location", "excellent local schools" or an invented square footage. Under the DMCC Act, every one of those is your liability the moment you publish — and the CMA can now fine directly. You can fight this with careful prompting ("use only these facts, do not add anything"), but you have to re-fight it every session, and check every line.
2. American defaults creep in
Realtor, condo, half-bath, first floor meaning ground floor, square footage where UK buyers expect rooms and receptions. Fixable with prompts — but it's one more thing to police on every output.
3. No structure for portal fields
A portal listing isn't one blob of text: it's a summary, key features, a description, and increasingly a social post and applicant email. With ChatGPT you either run multiple prompts per property or build a mega-prompt — then copy-paste each piece out manually.
4. No memory of your standards
Your tone, your agency's style, your compliance rules — a fresh chat knows none of it. Consistency across a team is even harder: every negotiator prompts differently, so every listing reads differently.
Where ChatGPT genuinely wins
Flexibility. It will draft a vendor letter, a blog post and a tricky email in the same session, and the free tier costs nothing. If you write two listings a month and enjoy prompt-wrangling, it may be all you need.
The honest comparison
A purpose-built tool earns its keep when listings are routine: it asks for the property's facts in a structured form, refuses to invent details by design, writes UK English to portal conventions, and produces all five outputs in one pass. That's the entire product decision — pay nothing and supervise everything, or pay a few pounds and supervise the facts only. (Either way, you review before publishing; that responsibility never moves.)
We're biased — we make ListSmith — so the fairest thing we can say is: try both on the same property and compare the drafts. Ours is free to try, no card required. For the wider landscape, see our honest pros and cons of AI descriptions.
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