AI-generated visuals helped close a $1.4M home sale post-auction
When a property has been in the same family since 1983 and sits in original condition, marketing it is a creative problem as much as a pricing one. LJ Hooker agent Dikshant Dhungel, known as DD, solved that problem with AI-generated imagery and a negotiation session long enough to close a $190,000 gap.
The Property and the Challenge
The listing was a four-bedroom mid-century red brick house at 43 Nathan Street, Deakin. It went to auction without a sale, which put the pressure squarely on the post-auction negotiation. The buyer and seller were $190,000 apart at that point.
How the AI Marketing Worked
Rather than hide the property’s dated condition, Dhungel leaned into it. He used AI-generated images and video to show what the home could look like after renovation, pairing that with transparent messaging about its current state.
“We were very transparent with the property, where I explained in the video that the home needs a bit of love, and with some imagination, the possibilities were endless.”
Framing a fixer-upper as a canvas rather than a compromise is not new, but using generative AI to render that vision concretely is a newer tactic in residential real estate marketing.
The Operator Takeaway
If you sell services, products, or properties where the end state is hard to visualize, AI-generated imagery can close the imagination gap before a buyer walks away. The tactic worked here: the home sold for $1.4 million after hours of negotiation bridged that $190,000 spread.
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