DealGround's AI Collapses CRE Prospecting from Days to Minutes, Enabling Brokers to Scale Outreach

Commercial real estate prospecting has traditionally been a time-intensive, multi-step process that could consume days for a single property. Researching a target property, identifying the LLC, tracking down the individual behind it, finding contact information, and crafting a personalized outreach message often required toggling between multiple systems. For brokers targeting twenty properties, this workflow could occupy a significant portion of a week. DealGround, an AI-powered intelligence platform, is now collapsing that timeline to minutes.

According to Dan Mosher, CEO and co-founder of DealGround, the most impressive use of the platform he has seen 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. “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.”

On DealGround, a broker specializing in a specific tenant type can now run a filtered search across every property in a state with that tenant, pull a 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 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.”

The personalization is not superficial. Because DealGround has the property and tenancy data, the outreach can reference specifics: the tenant, the market, the holding period, and what a comparable sale looked like nearby. It reads like a broker who did their homework, because the platform did it for them.

Commercial real estate has always rewarded brokers who could prospect more consistently than their competitors. The limiting factor was never ambition; it was time. Writing twenty tailored letters by hand meant most brokers settled for a handful. With AI doing the heavy lifting on 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.”

What makes this prospecting shift meaningful is not just speed, but coherence. When the property data, ownership data, contact data, and AI writing tools all live 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. That is not a small thing in an industry where platform switching is historically slow. It suggests that when the workflow genuinely fits how brokers operate, adoption follows.

DealGround is an AI-powered intelligence command center for commercial real estate professionals. The platform transforms fragmented property, tenant, ownership, and market data into structured, actionable deal intelligence. For more information, visit www.dealground.com.