Describe the behavior you want to track, and the AI Canvas agent proposes a ready-to-review listener , no manual config required.

Setting up a listener has always meant knowing exactly which fields to configure and how. Now marketers can just describe what they want to capture, for example, which interests to rank and based on what behavior — and the AI Canvas assistant proposes a complete listener configuration directly on the canvas.

If the listener needs a profile property that doesn't exist yet, the assistant proposes the missing property — name, type, and data sensitivity included — and lets you adjust the proposal or point it at an existing property instead. Once you confirm, it creates the property and keeps building the listener with it.

Nothing saves automatically. Marketers review and confirm the proposed setup before it goes live, keeping full control over what ends up in production. 

Benefits:

• Removes the configuration learning curve for setting up listeners
• Speeds up time-to-impact for new tracking use cases
• Keeps marketers in control with a review-and-confirm step before anything saves
• Sets up a repeatable pattern for guided listener setup across future listener types

To learn more, read our documentation.