Georgia MLS Unlocks First Phase of AI Integration by Launching’s Property Image Tags, the leader in artificial intelligence and computer vision for real estate, today announced that Georgia MLS (GAMLS) unlocked for its members the first phase of AI technology integration by successfully launching’s property image tags. With this product integration, GAMLS implemented the unique ability to automatically detect the room type/home space of all uploaded property images (e.g., bedroom, bathroom, floorplans, etc.), providing RESO-standardized field classifications.

During the listing creation process, GAMLS will now leverage AI-powered tagging to analyze all property images and determine the room type or home space depicted in each photo. Additionally, the listing input form is pre-populated with the relevant information identified in the photos. Agents can review all AI-generated details before providing final confirmation.

Once all phases of’s MLS Product Suite are fully integrated, it will help reduce agent listing upload time by pre-populating features, enriching the MLS data, and increasing the number of fields populated per listing for all active and new listings. Moreover, by tagging and labeling each image, the property listings displayed on MLS, Broker and Agent websites will become ADA-compliant.

GAMLS CEO, Richard Boone, said, “Saving our members a significant amount of time by automating the listing input means greater business productivity and that can help them become more successful.”

“Georgia MLS remains at the front of the line when it comes to adopting breakthrough technology that delivers incredible value to their agent and broker members,” said Lisa Larson, Managing Director, North America. “And this is just the beginning of the many benefits our AI will deliver to improve agent workflow. Additionally, GAMLS has identified other use cases they can leverage the tags,” Larson added.

The complete list of’s MLS Product Suite is available at


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