TL;DR Summary:
AI Max Testing: Google is adding new tools that let advertisers test budget shifts, ROI targets, and campaign settings before spending live budget, reducing the risk of costly mistakes.Bigger A/B Experiments: Starting in September 2026, multi-campaign AI Max tests will show the impact of changing budgets and ROI targets across several Search campaigns at once.More Flexible Controls: Brand and location controls will now stay on during experiments, making AI Max testing practical for advertisers that need tighter targeting rules.Smarter Planning: Performance Planner will forecast the effect of bid and budget changes before they go live, then let advertisers apply suggested updates with one click.How do you test AI Max changes in Google Ads before committing your budget? Google announced new AI Max for Search testing and planning tools on August 20, 2026, giving advertisers a way to check the impact of budget shifts, ROI targets and campaign settings before applying them. This matters right now because it changes how you can plan spend without risking live results.
AI Max for Search Testing Adds Multi-Campaign A/B Tests
Starting in September 2026, you will be able to test different budgets and ROI targets across multiple Search campaigns in one A/B test. This builds on Google’s existing one-click AI Max experiments. Instead of testing one campaign at a time, you can see what happens to your overall business performance when you scale several campaigns together. If you manage a larger account, this gives you a clearer picture before you commit real budget to a change.
AI Max for Search Experiments Now Support Brand and Location Controls
Google is removing a common obstacle for advertisers who rely on tighter campaign controls. AI Max experiments will support tests with brand and location controls turned on. In plain terms, these controls limit which brand terms or geographic areas your campaign can target. Before this update, you had to turn off those controls to run an AI Max test. Now you can measure AI Max’s impact while keeping the restrictions your business needs. This makes AI Max for Search testing more practical for companies with strict rules about where and under which brand terms their ads can appear.
Performance Planner Expands Forecasting for AI Max for Search Planning
Google is adding new functionality to Performance Planner. You will be able to forecast how changes to bidding or budget targets could affect your existing campaign performance before you make them. Once you see a forecast you like, you can apply Google’s suggested changes directly with one click. This shortens the gap between planning a change and putting it into action, so you spend less time moving between tools. Since these forecasts are still estimates, many advertisers pair them with a unified analytics layer to confirm what’s actually happening in their accounts. A platform like Measuremate is built for exactly this kind of check, giving you a single view across your reporting sources so you can validate a forecasted budget or ROI target change before it goes live account-wide.
What This Means for Your Account-Level Strategy
Google frames these updates as ways to judge AI Max’s effect at a broader account level before you scale campaigns. Multi-campaign experiments help you understand the incremental impact of raising budgets or adjusting ROI targets across your account, not just one campaign. Support for brand and location controls means more advertisers can run these tests without loosening settings they depend on. Google has not shared exact rollout dates beyond the September 2026 start for multi-campaign testing, so watch your Google Ads account for availability.
Check your Google Ads account in September 2026 to see if multi-campaign A/B testing and the updated Performance Planner have reached you. Test your budget and ROI target changes before applying them at scale, especially if your account relies on brand or location controls. Watch for Google’s next updates on rollout timing, since the company has not confirmed exact dates for every feature. If you want to validate ad performance data alongside these new AI Max forecasts, a tool like Measuremate can help you cross-check GA4 and BigQuery data before committing budget to a scaled campaign change.
