Google Adds New AI Max Testing Tools for Search Campaigns
Google says new AI Max testing and planning tools will give Search advertisers more ways to assess budget, ROI and campaign controls before making broader changes.
Feature image: editorial illustration created for The Daily Play; it does not depict a specific Google Ads interface or campaign.
Google is adding new testing and planning features to AI Max for Search campaigns, giving advertisers more ways to measure how budget, return-on-investment targets and campaign controls could affect results before making broader changes.
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In an August 20 announcement, Google said a new multi-campaign A/B test will begin rolling out in September. The feature is intended to let advertisers test different budgets and ROI targets across multiple Search campaigns in a single experiment. Google also said it is expanding the settings that can be used in AI Max experiments, including brand and location controls.
What Google announced
AI Max is Google Ads’ set of AI-assisted capabilities for Search campaigns. Google describes its two main components as search-term matching and asset optimization. An AI Max experiment works as a test run: a portion of an existing Search campaign uses AI Max while the remaining portion continues without it, allowing advertisers to compare outcomes before choosing whether to apply the settings more broadly.
Google said its upcoming A/B-testing option will make it possible to assess changes to budget and ROI targets across several Search campaigns at once. That matters because advertisers often manage related campaigns as a group, rather than changing budget or bidding targets in isolation.
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The company also said its updated experiment capabilities will support brand and location settings. In its documentation, Google notes that brand inclusions and exclusions can apply to both the control and treatment arms of an experiment during the test. That makes it important for advertisers to understand which settings are shared across both sides before drawing conclusions from the results.
Performance Planner gets a more direct path to changes
Google also announced a change to Performance Planner, its forecasting tool for ad spend and campaign performance. The company says advertisers can now review suggested adjustments to bids or budgets and apply selected changes directly to campaigns with one click.
A forecast is still not a promise of future results. Google says Performance Planner refreshes forecasts daily and uses recent auction, seasonality and campaign information. Advertisers should treat the recommendations as an input to review, not a substitute for checking conversion tracking, budget limits, landing pages and the business context behind a campaign.
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What advertisers should watch next
The September timing applies to the new multi-campaign A/B test, according to Google’s announcement. Before using it, advertisers should confirm that the campaigns they want to test are eligible. Google’s existing documentation lists constraints for AI Max experiments, including certain campaign settings and active experiments that can prevent a campaign from using the flow.
The practical question is not simply whether AI Max improves a single result. Advertisers will need to decide what they are measuring, preserve a meaningful control group and evaluate changes against their own goals for profitability, customer acquisition and brand safeguards. The new tools may make testing easier, but the interpretation still belongs to the advertiser.
Related video
For a practical overview of AI Max for Search campaigns, watch Google Ads’ official explainer below. The video explains the product’s Search-campaign controls; the news article above covers Google’s August 20 testing and planning announcement.
