Commercial real estate brokers have long faced a tedious, multi-step prospecting process that could consume days for a single target property. Researching a building, identifying the LLC, tracking down the individual owner, finding contact information, and writing a personalized outreach message often required juggling multiple systems and significant manual effort. DealGround, an AI-powered intelligence platform, is now collapsing that timeline to minutes, according to CEO and co-founder Dan Mosher.
Mosher noted that the most impressive use of the platform was not something the team anticipated when building it. Brokers are now running the entire prospecting workflow—from identifying a target property to generating a customized cover letter—without leaving the platform. “The ability to kind of 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 error-prone. 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 then write personalized outreach. Each step lived in a separate system. “All of these were very manual, slow, and had lots of errors,” Mosher said. “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.”
Now, on DealGround, a broker specializing in a specific tenant type can run a filtered search across every property in a state with that tenant, pull a full list of owners who have not transacted in a set number of years, retrieve contact information for all of them, and use the platform’s AI to generate customized outreach letters for each one. “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 explained. The personalization references specifics such as the tenant, the market, the holding period, and comparable sales nearby, making the outreach appear thoroughly researched.
This efficiency changes the volume game in commercial real estate. The limiting factor for brokers was never ambition but time. Writing twenty tailored letters by hand meant most brokers settled for a handful. With AI handling the 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.” The platform also reduces deals that die because a broker could not locate the right contact, thanks to validated ownership data across more than 160 million properties.
The shift is not just about speed but coherence. By consolidating property data, ownership data, contact data, and AI writing tools into one platform, DealGround eliminates handoffs between systems and manual re-entry. Mosher described watching brokers exit their existing tool subscriptions after getting comfortable on DealGround, a significant move in an industry where platform switching is historically slow. This suggests that when the workflow genuinely fits how brokers operate, adoption follows.
For more information, visit www.dealground.com.
