Google Ads AI Max is one of the biggest updates to Search campaigns in recent years. It promises to help advertisers reach more potential customers by expanding beyond traditional keyword targeting using Google’s AI.

That sounds exciting – but it also means giving Google’s algorithm more control over who sees your ads.

If you’ve ever been disappointed by a new Google Ads feature that promised better automation, it’s perfectly reasonable to be cautious. Many advertisers still remember the early days of Performance Max and the challenges that came with handing more control to Google’s algorithms.

So, should your business test AI Max?

In our opinion, yes.

However, like most automation within Google Ads, success depends on testing it properly. AI Max isn’t a feature that should simply be switched on and forgotten. It requires the right campaigns, the right bidding strategy and regular optimisation to deliver profitable results.

This article explains what AI Max is, when it’s worth testing and how to give your business the best chance of success.

What is Google Ads AI Max?

AI Max is a feature for Google Ads Search campaigns that uses Google’s AI to expand your reach beyond traditional keyword targeting.

Instead of relying solely on the keywords you’ve added to your campaigns, AI Max helps Google identify additional searches that demonstrate similar user intent. It can also direct users to the most relevant landing page on your website and dynamically adapt ad messaging based on your website content.

The objective is simple: help advertisers uncover additional conversion opportunities without continually expanding keyword lists.

For many businesses, this means greater visibility across relevant searches that standard Search campaigns may never have reached.

However, increased reach also means giving Google’s AI more freedom over who sees your ads. While this can uncover valuable new customers, it can also introduce broader audiences with lower purchase intent if campaigns aren’t carefully managed.

Like every automation feature within Google Ads, AI Max should therefore be treated as an optimisation tool – not a replacement for strategic campaign management.

What are the benefits of AI Max?

The biggest advantage of AI Max is its ability to reach relevant searches that traditional keyword targeting may miss.

By allowing Google’s AI to identify additional search intent, businesses can often increase their visibility without continually adding more keywords to their campaigns.

Across the Google Ads accounts we’ve tested, we’ve typically seen AI Max reduce average CPCs by around 10–30% compared with equivalent Search campaigns without AI Max.

Potential benefits include:

• Lower average CPCs
• Increased Search coverage
• More conversion opportunities
• Less reliance on continually expanding keyword lists
• Better preparation for Google’s increasingly AI-driven Search experience

Lower CPCs can improve campaign efficiency and allow businesses to generate more clicks from the same advertising budget.

However, lower CPCs don’t automatically mean higher profitability.

That’s why AI Max should never be judged using click costs alone.

Should your business test AI Max?

For most established Google Ads accounts, our answer is yes.

Google is investing heavily in AI-powered Search, and AI Max is clearly part of that direction. Businesses that begin testing it now will be in a stronger position as Search continues to evolve and new AI-driven search experiences become more common.

More importantly, testing AI Max allows businesses to understand how it performs within their own Google Ads account rather than relying on Google’s marketing claims or industry opinions.

Every account is different.

Campaign structure, conversion tracking, competition, landing pages and customer behaviour all influence performance. The only reliable way to know whether AI Max will improve your results is to run a structured test and measure the outcome against meaningful business metrics.

That doesn’t mean every account should enable AI Max immediately.

Before testing AI Max, make sure your campaigns already have reliable conversion tracking, enough conversion data for Google’s algorithm to learn from and sufficient time available for ongoing optimisation.

If those fundamentals aren’t already in place, it’s usually better to fix them first before introducing another layer of automation.

In our experience, businesses that treat AI Max as a carefully managed test achieve significantly better results than those that simply switch it on and hope for the best.

How to test AI Max successfully

The biggest mistake businesses make with AI Max is assuming that Google’s AI will do all the work.

While AI Max automates many aspects of Search campaigns, it still requires a structured testing approach and ongoing optimisation. The goal isn’t simply to generate more traffic – it’s to generate more profitable traffic.

Here’s how we’d approach an AI Max test.

1. Choose the right campaign

Not every campaign is suitable for testing AI Max.

Avoid testing it on campaigns that generate fewer than 30 conversions over the previous 30 days. With limited conversion data, Google’s algorithm has less information to understand what a valuable customer looks like, making optimisation much more difficult.

Equally, avoid testing AI Max on your largest or most business-critical campaign. If the test doesn’t perform as expected during the early stages, it could have a significant impact on overall account performance.

Instead, choose an established campaign with consistent conversion history and enough data to produce meaningful results.

If you’re unsure how your campaigns should be organised, our guide to Google Ads account structure explains how to build campaigns that are easier to optimise and test.

2. Use the right Smart Bidding strategy

AI Max works best when Google’s algorithm understands your business objectives.

For that reason, campaigns using Target CPA (tCPA) or Target ROAS (tROAS) are generally better suited to AI Max than campaigns using manual bidding strategies.

Rather than simply generating additional traffic, these bidding strategies help Google’s AI optimise towards profitable conversions.

This becomes increasingly important as AI Max expands your reach beyond your traditional keyword targeting.

If you’re unsure which Smart Bidding strategy is right for your business, read our guide to Google Ads bidding strategies.

3. Make sure your campaign isn’t budget limited

If your campaign regularly runs out of budget, AI Max won’t have the opportunity to fully explore new search opportunities.

Where possible, ensure the campaign has sufficient daily budget throughout the testing period so performance isn’t artificially restricted.

Otherwise, it becomes difficult to determine whether results are being limited by AI Max or simply by available budget.

4. Monitor the metrics that matter

The success of AI Max shouldn’t be measured using clicks or CPCs alone.

Instead, focus on the business metrics that determine whether the additional traffic is actually valuable.

Metric	Why it matters
Search terms	Assess traffic quality and identify opportunities for negative keywords.
Average CPC	Understand whether AI Max is reducing click costs.
Conversion rate (CVR)	Check whether the additional traffic continues to convert effectively.
Cost per acquisition (CPA)	Measure profitability for lead generation campaigns.
Return on ad spend (ROAS)	Essential for measuring ecommerce performance.
Lead quality	One of the most important indicators for lead generation businesses.
Average order value (AOV)	Helps ecommerce businesses understand whether AI Max is attracting valuable customers, not just additional orders.

Looking at these metrics together provides a much clearer picture than celebrating lower CPCs in isolation.

5. Review search terms and landing pages report regularly

This is one of the biggest factors that determines whether an AI Max test succeeds.

Because AI Max expands beyond your existing keywords or ad landing pages, new search queries will inevitably begin appearing within your campaigns. Some will be highly relevant, while others may be less suitable for your business.

Regular search term reviews allow you to:

• identify irrelevant traffic and landing pages
• build your negative keyword lists and page exclusions
• improve traffic quality
• guide Google’s algorithm towards more profitable searches and best landing pages

AI Max isn’t a feature that should be enabled and forgotten.

In our experience, businesses that actively review search terms and landing pages report throughout the test achieve significantly better results than those that rely entirely on Google’s automation.

How long should you test AI Max?

Like most automated features within Google Ads, AI Max needs time to learn.

Google generally recommends allowing around two weeks for the algorithm to adjust after enabling new automation. During this period, performance can fluctuate while Google’s AI gathers data and identifies new opportunities.

Rather than judging success immediately, use this learning period to review search terms, improve traffic quality and continue refining your negative keyword lists.

Once the initial learning period has finished, continue the test for at least another four weeks. Where possible, allowing six to eight weeks will provide a much more reliable indication of long-term performance.

Short tests rarely produce enough data to support confident decisions.

What does success look like?

Success will look different for every business.

Lead generation businesses are likely to focus on metrics such as CPA, conversion rate and lead quality, while ecommerce businesses will typically place greater emphasis on ROAS and average order value.

Whatever your objectives, it’s important to judge AI Max using business outcomes – not simply platform metrics.

For example, across the Google Ads accounts we’ve tested, we’ve often seen AI Max reduce average CPCs by 10–30%.

That sounds like an obvious improvement.

However, one ecommerce account produced a very different story.

During the test, average CPCs fell by around 20% while conversion rate also increased. On the surface, the campaign appeared to be performing exceptionally well.

However, average order value fell by an even greater percentage.

Although the campaign generated cheaper clicks and more conversions, the lower order values resulted in weaker overall returns, making the test less profitable than the original campaign.

This perfectly illustrates why lower CPCs don’t automatically mean greater profitability.

It’s also why choosing the right Smart Bidding strategy is so important. Using Target ROAS or Target CPA helps Google’s AI optimise towards profitable business outcomes rather than simply generating additional conversions.

Ultimately, success isn’t about generating more clicks.

It isn’t even about generating more conversions.

Success means generating more profitable customers.

Final thoughts

AI Max represents another step towards Google’s increasingly AI-driven approach to Search advertising. For many businesses, it has the potential to uncover new conversion opportunities, reduce click costs and expand the reach of existing Search campaigns.

However, AI Max isn’t a feature that should simply be enabled and forgotten.

Like most automation within Google Ads, its success depends on strong campaign foundations, reliable conversion tracking, the right Smart Bidding strategy and ongoing optimisation. Businesses that actively manage AI Max are far more likely to benefit from it than those who rely entirely on Google’s automation.

Our experience testing AI Max across client accounts has shown that lower CPCs don’t always translate into greater profitability. The businesses that achieve the best results are those that evaluate AI Max against the metrics that genuinely matter – whether that’s CPA, ROAS, lead quality or average order value.

Ultimately, every Google Ads account is different.

The only reliable way to know whether AI Max will improve your results is to run a structured test, monitor the right metrics and make decisions based on business performance rather than platform metrics.

Frequently Asked Questions

What is Google Ads AI Max?

AI Max is a Google Ads feature for Search campaigns that uses Google’s AI to expand your ads beyond traditional keyword targeting. It can identify additional searches that demonstrate similar user intent, select the most relevant landing page on your website and adapt ad messaging based on your website content.

The goal is to help businesses reach more relevant customers and uncover additional conversion opportunities without continually expanding keyword lists.

Should I enable AI Max on every Search campaign?

We recommend testing AI Max on one or two suitable campaigns first before rolling it out across your account.

This allows you to measure the impact on traffic quality, conversions and profitability while keeping any potential risk manageable. It also gives your PPC manager enough time to regularly review search terms and build negative keyword lists, which is one of the most important parts of a successful AI Max test.

Once you’re confident AI Max is delivering positive results, you can consider expanding it to additional campaigns.

Is AI Max suitable for lead generation campaigns?

Yes, AI Max can work very well for lead generation campaigns, but there are a few important considerations.

Because AI Max expands your reach beyond traditional keyword targeting, maintaining lead quality should be a priority. Before testing AI Max, make sure your account has accurate conversion tracking and, ideally, a way of identifying high-quality leads through offline conversion tracking or lead quality tracking.

We also recommend selecting campaigns that have generated at least 30 conversions over the previous 30 days, giving Google’s algorithm enough data to optimise effectively. If you’re able to distinguish high-quality leads from lower-quality enquiries, even better.

If you’d like to learn more about improving lead quality in your Google Ads account, check out our article on the topic.

Does AI Max work well for ecommerce businesses?

AI Max can work extremely well for ecommerce businesses, provided Google’s algorithm is optimising towards profitable customers rather than simply generating more orders.

Although AI Max often reaches additional audiences and can reduce CPCs, those customers won’t always purchase products with the same average order value (AOV) as your existing audiences.

For ecommerce businesses, accurate revenue tracking, a well-configured Target ROAS bidding strategy and sufficient historical conversion data are all essential before testing AI Max.

Does AI Max replace keywords?

No. AI Max works alongside your existing keywords rather than replacing them.

Your keywords continue providing Google with valuable information about your products or services while generating important conversion data for the algorithm. AI Max simply allows Google to identify additional relevant searches beyond your existing keyword targeting.

Think of AI Max as an expansion of your Search campaigns rather than a replacement for keywords.

Does AI Max replace keyword match types?

No. AI Max does not replace or change your keyword match types.

Your existing keywords continue working exactly as they do today, while AI Max expands your campaign beyond those keywords to identify additional relevant search opportunities. Keyword match types remain an important part of your Search campaign structure.

Which bidding strategy works best with AI Max?

We generally recommend using Target CPA (tCPA) or Target ROAS (tROAS) wherever possible.

Because AI Max can significantly expand your campaign’s reach, it’s important that Google’s algorithm understands what a valuable conversion looks like for your business. Smart Bidding strategies such as tCPA and tROAS help Google’s AI optimise towards profitable business outcomes rather than simply generating additional traffic or conversions.

If your campaigns aren’t yet ready to use Smart Bidding, it may be worth strengthening your account’s conversion tracking and historical data before testing AI Max.

How long should I test AI Max before making a decision?

Like most automated Google Ads features, AI Max needs time to learn.

We generally recommend allowing around two weeks for the initial learning period. During this time, performance may fluctuate while Google’s algorithm gathers data and identifies new opportunities. Rather than judging results immediately, use this period to review search terms and continue refining your negative keyword strategy.

After the learning period, continue the test for at least another four to six weeks. In most cases, a total testing period of six to eight weeks provides enough data to make a meaningful decision, although lower-volume campaigns may require longer.

How often should I review search terms when using AI Max?

During the first couple of weeks, we recommend reviewing search terms daily.

As the test progresses and traffic quality improves, reviews can usually be reduced to every few days and eventually once a week, depending on campaign volume.

Regular search term reviews remain one of the most important optimisation tasks when testing AI Max, helping you identify irrelevant traffic, build negative keyword lists and improve overall campaign quality.

Can AI Max reduce profitability even if CPCs fall?

Yes.

Lower CPCs don’t automatically mean higher profitability.

Across the Google Ads accounts we’ve tested, we’ve generally seen AI Max reduce average CPCs. However, we’ve also seen cases where lower CPCs and improved conversion rates resulted in lower overall profitability because average order value fell significantly.

This is why AI Max should always be measured using business KPIs such as CPA, ROAS, lead quality or average order value rather than platform metrics alone.

Can I switch AI Max off if it doesn’t perform well?

Absolutely.

AI Max is a feature that can be disabled if it isn’t delivering the results your business needs.

If performance isn’t meeting your objectives, review the data to understand why. In many cases, improvements to search terms, negative keyword management, Smart Bidding or campaign selection can produce better results before testing AI Max again.

As with any Google Ads feature, decisions should always be based on your business objectives and long-term profitability rather than short-term performance fluctuations.