Commercial real estate brokers are adopting artificial intelligence to compress what was once a multi-day prospecting workflow into a matter of minutes, according to DealGround, an AI-powered intelligence platform for commercial real estate professionals.
The traditional prospecting process involved researching a target property, identifying the LLC behind it, tracking down the individual owner, finding contact information, and writing a personalized outreach message—a sequence that could consume a significant portion of a broker's week when multiplied across multiple properties. DealGround co-founder and CEO Dan Mosher said the platform now allows brokers to run the entire workflow without leaving the 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.”
The fragmentation of tools meant brokers who wanted to prospect at scale faced a choice between high error rates or enormous time investments in research unrelated to negotiating or closing deals. DealGround aims to solve this by integrating property data, ownership records, contact details, and AI-driven writing tools into a single platform.
On DealGround, a broker specializing in a specific tenant type can run a filtered search across every property in a state with that tenant, generate a list of owners who have not transacted in a set number of years, retrieve their contact information, and use the platform's AI to create 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 goes beyond generic templates. Because DealGround has access to property and tenancy data, the outreach can reference specific details: the tenant, the market, the holding period, or a comparable sale nearby. “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.
This shift has significant implications for the volume of deals brokers can pursue. The limiting factor 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 fall through because a broker could not locate the right contact. With validated ownership data across more than 160 million properties, the gaps in a prospecting list shrink considerably.
The coherence of the system—where property data, ownership data, contact data, and AI writing tools all live in one place—eliminates handoffs between systems and manual re-entry. Mosher described watching brokers cancel subscriptions to other tools after becoming comfortable on DealGround, a notable shift in an industry where platform switching is historically slow. More information is available at www.dealground.com.
