Commercial real estate brokers can now transform a week's worth of prospecting into a single session using artificial intelligence, compressing what once took days into minutes. DealGround, an AI-powered intelligence platform, allows brokers to identify target properties, trace ownership, retrieve contact information, and generate personalized cover letters without leaving the system.
According to Dan Mosher, CEO and co-founder of DealGround, the most impressive use of the platform has been brokers running the entire prospecting workflow end-to-end. “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.
The traditional approach to prospecting 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 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.”
On DealGround, the workflow is streamlined. A broker can 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. Because DealGround has the property and tenancy data, the outreach can reference specifics: the tenant, the market, the holding period, and comparable sales nearby. The letter reads like a broker who did their homework, because the platform did it for them.
This changes the volume game for brokers. Commercial real estate has always rewarded those who could prospect more consistently, but the limiting factor was time. Writing twenty tailored letters by hand meant most brokers settled for a handful. With AI 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 before they start 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 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 notable in an industry where platform switching is historically slow, suggesting that when the workflow genuinely fits how brokers operate, adoption follows.
For more information, visit www.dealground.com.
