MetroList, Northern California’s largest MLS, has officially deployed a powerful AI integration from Restb.ai, offering computer vision tools to streamline listing input, improve compliance, and modernize the search experience for more than 20,000 agents and brokers.
The rollout is live across the Rapattoni MLS platform and represents a meaningful step forward in the operational AI strategies now gaining traction in MLS organizations nationwide.
What the integration delivers
At the core of the new functionality is Restb.ai’s image recognition engine. It scans every listing photo uploaded to the MLS and generates three distinct outputs:
- AI-generated alt-text for every photo – strengthening ADA and WCAG accessibility compliance, while also supporting SEO and syndication
- Autofill for listing fields – detecting 370+ RESO-compliant features automatically from the images and populating them in the listing form
- Picture-based property search – allowing consumers to search for visually similar homes based on architectural features or styles, rather than relying solely on filters or keywords
The screenshots below demonstrate how Restb.ai technology is integrated into the MLS system. These innovative features are particularly valuable in practice, enabling users to save time and enhance the quality of listing input.
Together, these features aim to save time, reduce manual entry, improve listing accuracy, and make search more intuitive for buyers – all without changing how agents currently use their MLS.
Accessibility and compliance built in
The AI-generated image descriptions are editable, making it easy for agents to refine or personalize what the system produces. Just as important, those captions are also passed along to third-party listing portals during syndication – expanding listing visibility and improving the browsing experience for visually impaired consumers.
It’s a feature with clear ADA implications, and one that many MLSs have been slow to address.
A platform-wide push from Rapattoni
Rapattoni President Ralph Hoover sees this integration as a milestone in the evolution of MLS software. “By combining Restb.ai’s technology with the Rapattoni platform,” he said, “we’re helping customers deliver smarter, faster, and more accessible real estate tools.”
That integration is now part of Rapattoni’s core offering – meaning other MLSs on the platform may soon follow MetroList’s lead.
A win for agent workflow
For MetroList CEO Dave Howe, the driving force behind this launch is agent efficiency. “By integrating Restb.ai’s autofill technology and advanced Picture Search, we’re making it easier than ever for real estate professionals to manage and market their listings,” Howe said.
Dominik Pogorzelski, President of MLS at Restb.ai, put it more bluntly: “MLSs are looking for ways to modernize without disrupting their agents.” The key, he said, is to build AI into existing workflows – not force agents to learn new ones.
The bigger picture
MetroList’s move comes as a growing number of MLSs explore how AI can be embedded at the system level – not just as a bolt-on feature for marketing or member support. From alt-text and accessibility to smart forms and image-driven search, the Restb.ai integration is a glimpse into where MLS platforms are heading.
The goal isn’t to reinvent the listing process – it’s to make it faster, more accurate, and more inclusive.
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