AI Collapses Commercial Real Estate Prospecting from Days to Minutes

Commercial real estate prospecting has traditionally been a time-intensive process involving multiple steps: identifying a target property, researching the owning LLC, tracking down the individual behind it, finding contact details, and crafting a tailored outreach message. This process could take days for a single property, and scaling it to twenty properties consumed a significant portion of a broker's week. DealGround is now collapsing that timeline to minutes.

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—from identifying a target property to generating a customized cover letter—without leaving the platform. 'The ability to 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 traditional approach 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, leading to manual errors and missed opportunities. 'All of these were very manual, slow, and had lots of errors,' Mosher noted. '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, brokers can now 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 AI to generate customized outreach letters for each one. The personalization is based on property and tenancy data, allowing the outreach to reference specifics such as the tenant, market, holding period, and comparable sales nearby. '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.

This shift dramatically increases the volume of prospecting brokers can handle. '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's validated ownership data across more than 160 million properties also reduces the number of deals that die because a broker could not locate the right contact.

Beyond speed, the platform offers coherence by integrating property data, ownership data, contact data, and AI writing tools into one pipeline. There are no handoffs between systems or 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 www.dealground.com.

This article is based on information provided by the expert source cited above. It is intended for general informational purposes only and does not constitute legal, financial, or real estate advice. Readers should conduct their own research and consult qualified professionals before making any real estate or financial decisions.