What's a best practice when building an account structure designed to improve the performance of AI-powered solutions?

The selection is correct because focusing account structure on business goals, not channel silos, allows Google's AI to consolidate data and signals, which maximizes the machine learning's ability to identify patterns and optimize toward the most profitable outcomes. Traditional account structures—which often segment campaigns by match types, devices, or rigid channel boundaries—create fragmented "data silos" that limit the AI's visibility and efficiency by restricting the volume of conversion data available to each bidding algorithm. By shifting to a goal-based structure, such as utilizing Performance Max or consolidating Search campaigns into broader themes, advertisers provide the AI with a unified view of the customer journey, enabling more accurate predictions across all available inventory. This streamlined approach empowers the system to allocate budget dynamically where the highest value resides, rather than being confined by artificial manual constraints that no longer align with how modern consumers navigate the digital landscape.