The conversation started as a way to pass time on a long holiday drive from south Florida to North Carolina. Robert Levine, sitting behind the wheel, had his wife prompt ChatGPT with questions about the home-selling process. By the time the trip was over, the idea had taken root. By the time the house sold, it had become something considerably more ambitious.
Levine, a married father of three and the chief executive of strategic consulting firm ComOps, used ChatGPT to manage nearly every aspect of the sale of his Cooper City, Florida home. The property sold within five days for $954,800, which was approximately $100,000 more than the figure real estate agents had estimated.
ChatGPT handled the pricing, marketing and timeline
Levine spoke with real estate agents during the process but found that none expressed confidence in the pricing. ChatGPT, by contrast, gave him specific guidance on where the market was heading and supported a listing price significantly higher than what agents recommended. The home ultimately sold for one of the highest per-square-foot prices in the area, despite not having the best view, the largest lot or the most updated finishes among comparable properties.
The platform advised Levine on which rooms to repaint for the best return on investment, recommended listing the property on a Tuesday, created a structured timeline for the sale and generated marketing materials. It also helped coordinate showings around Levine’s schedule. He showed the home to 15 prospective buyers, roughly a third of whom submitted offers. Within 72 hours of listing, five offers had come in…