Gone are the days when Google Ads Search campaigns were driven purely by keywords. Launched in open beta in May 2025, with a global rollout completed by September 2025, AI Max for Search has redefined how Search campaigns discover and capture intent. Now, you no longer rely on what you explicitly target. Instead, you can let Google decide how your products match queries and where the budget gets allocated based on intent and real-time signals.
The problem is that many ecommerce brands hear about it and assume it’s an ultra-powerful AI marketing automation feature that will automatically improve results.
However, AI Max for Search doesn’t improve results on its own. It scales whatever signals, data, and structure already exist in your account. When those inputs are strong, it can reach new demand and drive more revenue. When they’re weak, it pushes spend into the wrong areas faster.
That’s why if you look online, you’ll see mixed opinions about AI Max. Some advertisers claim it helps them scale volume and drive more conversions, while others say it burns budget without improving results.
So the question is: should you use AI Max for your ecommerce Google Search campaigns or not? Before you decide, you need to understand how it works for ecommerce and where its limitations show up in product-driven campaigns.
AI Max for Search is not a new campaign type. A lot of people assume it is because it sounds similar to PMax, but it actually sits inside your existing Search campaigns and changes how they run. It is part of the broader shift toward AI in PPC, where campaigns rely less on manual keyword control and more on data-driven decision making.
Once you turn it on, your campaigns stop relying only on the keywords you choose. Google starts using signals from your landing pages, ads, and past conversions to decide which searches your products should show up for.
It also changes how ads get written and where traffic goes. Instead of sending everyone to a single fixed page, the system can route users to different pages based on their search and what it predicts will convert. That’s what allows it to reach more searches, but it also means your campaigns won’t behave as predictably as standard Search.
At its core, AI Max includes:
For ecommerce brands, AI Max changes how your products get discovered. Instead of relying on the keywords you map out, the system decides where your catalog shows based on how people search and what it predicts will convert. That means items from your catalog can appear in searches you never planned for, especially when there’s clear buying intent behind them.
This allows your campaigns to:
But whether any of this translates to revenue depends entirely on what you feed it.
For example, pet nutrition brand Royal Canin ran a structured A/B experiment with AI Max on a campaign that had clean conversion data and a well-organized product feed. The result was a 263% increase in conversions and a 73% reduction in CPA within the test period.
On the other hand, Monks Agency tested it across roughly 30,000 AI Max search terms on accounts without that foundation and found 99% of impressions generated zero conversions. The system was expanding into searches, but with no signal to guide it, it was essentially spending blindly.
With results varying this widely, it is clear that leveraging AI Max is not simply a matter of turning it on. The difference between scaling revenue and burning budget comes down to how well your account is set up before the system takes over.
AI Max changes how your campaigns operate at a fundamental level. To put it simply, standard Search runs based on what you set, while AI Max runs based on what the system learns, reflecting how AI Google Ads search is evolving toward more system-led decisions.
To help you see how AI Max differs from standard Search in how campaigns run, here’s a side-by-side comparison:
What actually changes | Standard Search | AI Max for Search |
Where growth comes from | Scaling requires adding new keywords and structure | Growth comes from queries you never targeted |
How new demand is captured | You expand into new keywords manually | The system expands into new searches automatically |
What gets prioritized | You decide which products or keywords get budget | The system decides based on conversion signals |
How mistakes behave | Issues stay contained within campaigns or keywords | Issues get scaled across the account quickly |
How predictable performance is | More stable and easier to trace back to changes | Less predictable as the system explores new areas |
How fast campaigns change | Changes happen when you make them | Changes happen continuously based on data |
How control works | You directly control targeting and structure | You influence outcomes through data and inputs |
What limits performance | Your structure and keyword coverage | The quality of your data and signals |
Based on the table, you can see that AI Max allows you to operate your ecommerce Google Search campaigns in ways that are either not possible or would take significant manual effort with standard Search. This is made possible by the core features built into the framework.
Here are the features that drive how your campaigns behave under AI Max:
AI Max has a lot of potential, but it’s not a good fit for every advertiser. Forcing it into your Google Ads account before it’s ready will not only limit performance, but worse, it could scale the wrong areas of your campaigns and waste budget faster.
Here are the situations where turning on AI Max will likely hurt performance:
If any of the situations above apply to your account, turning on AI Max could do more harm than good. This is especially true if your Google Ads automation strategy is not yet built on clean data and clear signals. But if you still want to try it, you need to fix the gaps that are causing your account to send the wrong signals.
Once those are in place, you can start testing AI Max and see how it performs for your campaigns. Just keep in mind, even if you get this right, it won’t guarantee better results. It just puts the system in a position where it can make better decisions.
Here are the key things you need in place before turning on AI Max:
AI Max gives you more reach and flexibility, but it also introduces risks that can hurt performance if you’re not careful. The system makes more decisions on your behalf, and once it starts moving, it scales whatever signals it finds, good or bad.
If you don’t understand where it breaks down, it becomes very easy to spend more without actually growing.
Here are the main risks you need to watch closely:
AI Max can push your ads into a much wider range of searches, and not all of that traffic is worth paying for. It can match your products to queries that look relevant on the surface but don’t reflect real buying intent, so you end up paying for clicks that never convert into sales.
A big part of the performance you see may not be new. AI Max can lean into branded searches and returning customers your campaigns were already capturing, then count them as gains. This makes results look stronger on paper, even though you’re not bringing in new customers or increasing real revenue.
One of the downsides is that you lose some of the visibility you’re used to once AI Max is running. You’ll see more aggregated performance across your catalog, but less detail on which queries are driving sales for specific products. That makes it harder to see where money is being wasted until it’s already been spent, and harder to scale the SKUs that are actually generating revenue.
The most important thing to understand is this: AI Max is not a shortcut to better performance.
It can be a powerful lever for growth, but it does not guarantee better results. Even when it’s set up correctly, performance still depends on the strategy and execution behind it. Most ecommerce brands do not have the internal team or the time to audit and rebuild these foundations while also managing day-to-day campaigns.
If you don’t know how to control those, using this Google Ads automation strategy on your own may not be the best move forward for scaling your Search campaigns.
If you want to maximize what AI Max for Search can do for your ecommerce brand, book a free strategy call with Vysta. We’ll show you what needs to be in place and how to set your account up so AI Max can actually drive growth.
AI Max works by removing strict keyword limits and letting Google decide which searches your ads should show for based on your data. It looks at your past conversions, landing pages, and product signals, then pushes your campaigns into new queries it expects to convert. The better your inputs, the better it performs.
Standard Search grows when you build it out. AI Max grows by expanding on its own. It goes beyond your keyword list, tests new queries, and shifts budget based on what it sees converting. That can open up new revenue, but it also means performance depends more on the quality of your data than your setup.
Yes, AI Max is positioned as the future of Google Ads Search, moving campaigns toward intent-based targeting and system-led decisions. Based on how Google is pushing automation across its products, this direction is unlikely to reverse. However, since AI Max relies heavily on your data and signals, not every account may see strong results, especially if the foundation isn’t set up to support it.
Smart bidding sets the bid for each auction based on the signals AI Max is learning from. As AI Max expands into new queries, smart bidding decides how aggressively to spend on each one. The two work together, one finds opportunities, the other controls how much you pay to capture them.
AI Max acts as the system that drives expansion and scaling in a Google Ads automation strategy. It takes your existing campaigns and pushes them into new queries while smart bidding controls how aggressively to spend. This is what allows campaigns to move beyond your keyword limits and capture demand you wouldn’t reach manually.
AI Max improves ecommerce Search performance by expanding your campaigns beyond your keyword list and pushing your products into new, high-intent searches. It adjusts messaging and landing pages based on what users are looking for, which helps increase conversions while allowing your campaigns to scale without constant manual updates.
Book a call with Nate Schneider to explore how Google and YouTube ads can drive scalable, measurable growth.
Blog How to Diagnose a Stalled Ecommerce Google Ads Account in 30 Minutes Introduction Did your Google Ads performance for your ecommerce suddenly stop growing? For weeks or even months, your campaigns delivered strong results and helped you scale. Then growth slowed. You increased spend, but revenue didn’t follow at the same rate. What you’re […]
Blog AI Max for Search: How It Transforms Google Ads Campaigns for Ecommerce Brands Introduction Gone are the days when Google Ads Search campaigns were driven purely by keywords. Launched in open beta in May 2025, with a global rollout completed by September 2025, AI Max for Search has redefined how Search campaigns discover and […]
