Commercial real estate prospecting has traditionally been a time-intensive process involving multiple steps: identifying a target property, tracing ownership through LLC filings, locating contact information, and drafting personalized outreach letters. This workflow could take days for a single property, and multiplying that by twenty targets consumed a significant portion of a broker's week. DealGround, an AI-powered intelligence platform, is now compressing that timeline to minutes, according to CEO and co-founder Dan Mosher.
Mosher highlighted that the most impressive use case he has observed was not anticipated during the platform's development. Brokers are now running the entire prospecting workflow—from identifying a target property to generating a customized cover letter—without leaving the platform. The old approach was linear and fragmented, with each step living in a separate system, leading to manual errors and missed opportunities. As Mosher noted, “All of these were very manual, slow, and had lots of errors. 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 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, 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 like the tenant, market, holding period, and comparable sales, making the outreach appear thoroughly researched.
This capability 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 fail because a broker could not locate the right contact. With validated ownership data across more than 160 million properties, the blank spaces in a prospecting list shrink considerably. What makes this shift meaningful is not just speed but coherence. When property data, ownership data, contact data, and AI writing tools all reside in one place, there are no handoffs between systems and no manual re-entry. Mosher described watching brokers exit their existing tool subscriptions after getting comfortable on DealGround, suggesting that when the workflow genuinely fits how brokers operate, adoption follows.
For more information, visit DealGround.
