Commercial real estate prospecting has traditionally been a time-consuming, multi-step process. Brokers seeking to contact property owners would research a target building, identify the LLC, track down the individual behind it, find contact information, and craft a tailored outreach message. Repeating this for twenty properties could consume a significant portion of a week. DealGround is now compressing that timeline to minutes by integrating the entire workflow into a single AI-powered platform.
According to Dan Mosher, CEO and co-founder of DealGround, the most impressive use case emerged organically: brokers running the full prospecting workflow from identifying a target property to generating a customized cover letter without leaving the platform. “The ability to use the whole system, soup to nuts, from ideation, identifying the building to an actual letter of a couple paragraphs that is pertinent to that owner, has been incredible to see,” Mosher said.
The old approach was linear and fragmented. A broker with a buyer interested in net lease properties would need to identify comparable properties, trace ownership through Secretary of State filings, find the individual behind the LLC, locate contact details, and write personalized outreach. Each step lived in a separate system. “All of these were very manual, slow, and had lots of errors,” Mosher explained. “They were prone to human error. And a lot of the time, they might have missed deals because they didn’t have the right name of the owner.”
On DealGround, a broker can now run a filtered search across every property in a state with a specific tenant, pull a full list of owners who have not transacted in a set number of years, retrieve contact information, and use the platform’s AI to generate customized outreach letters for each one. The personalization references specifics like the tenant, market, holding period, and comparable sales nearby. “They could have ten or twenty different prospect property locations, and then they’re creating twenty different customized cover letters based on the characteristics of that property,” Mosher said.
This shift changes the volume game in commercial real estate. The limiting factor was never ambition but time. Writing twenty tailored letters by hand meant most brokers settled for a handful. With AI handling drafting, that ceiling disappears. “They’re making more money by being creative about deals they want to bring to the table on behalf of their clients,” Mosher said. “They’re able to find deals they might not have otherwise found, and the time of research has dropped dramatically.”
Beyond speed, the coherence of a single pipeline is transformative. Property data, ownership data, contact data, and AI writing tools all reside in one place, eliminating handoffs and manual re-entry. Mosher described watching brokers exit existing tool subscriptions after getting comfortable on DealGround. In an industry where platform switching is historically slow, this suggests that when the workflow fits how brokers operate, adoption follows.
For more information, visit www.dealground.com.
