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

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

  • Create as many campaigns as possible to achieve business goals.
  • Design campaigns around specific manual optimizaton levers.
  • Focus account structure on business goals, not channel silos.
  • Segment account structure by device and match type to customize creative.

Explanation

An AI-ready account structure should align campaigns to business objectives so optimization signals are clear. Google AI works best when budgets, bidding, measurement, and creative are organized around outcomes rather than separate channels. Goal-based structure helps reduce unnecessary fragmentation that can limit learning. This supports stronger performance from tools such as Smart Bidding and Performance Max.

Why the other options are incorrect

Manual optimization levers can restrict automation and weaken AI-driven optimization.

Device and match type segmentation creates unnecessary silos that can limit learning signals.

As many campaigns as possible increases fragmentation and can make budgets and data less effective for AI.

Source for verification

https://support.google.com/google-ads/answer/13580022

https://support.google.com/google-ads/answer/10724817

The answer(s) to the question is highlighted in the BOLD text above. You can also find more questions and answers related to the exams on the "Google Ads AI-Powered Performance Ads Assessment" page.

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