How Agents and Brokerages Should Evaluate AI Tools
Real estate has entered the AI era and it's not straightforward.
Our team builds with-and-on-top-off the latest AI models every single day and we still feel behind. I can only imagine what it’s like for a brokerage operator or agent to navigate all of this complexity.In order to help cut through the noise, we’ve put together a white paper outlining the key decision points that matter when it comes to evaluating AI tools.
These findings are based on direct, first-party results that we see everyday within Sidekick, along with industry research.The key takeaways:
1. The Real Estate Tech Stack Has Become a Maze
Over the past decade, the real estate technology stack has expanded dramatically. Agents juggle MLS systems, CRMs, transaction management platforms, marketing tools, analytics dashboards, and increasingly, AI products. Each platform promises efficiency. In practice, many create additional friction. Multiple logins, fragmented data, and constant system switching turn daily workflows into a maze of disconnected tools. The result is hours spent on administrative overhead instead of client work.
2. Clients Are Arriving More Informed Than Ever
The traditional information advantage agents once held has narrowed. Buyers and sellers now use AI to research neighborhoods, analyze pricing trends, and evaluate listings before they ever speak with an agent. By the time the first conversation happens, many clients have already formed opinions about the market. This shift raises expectations.
3. The Right AI Creates Leverage Across the Business
The platforms that matter share several core capabilities: reliable real estate data, insight-driven analysis, faster workflows, editable outputs, integrated systems, and easy adoption across teams. The impact is measurable.
There’s much more in the report. Click below to request the full white paper.
- The Sidekick Team
