Search is no longer what it used to be. Users are no longer limited to short queries – they explore, compare, ask questions, and interact with content through voice, images, and AI-powered answers.
As a result, Search is no longer just a tool for finding information. It has become an environment where users compare options, form preferences, and make purchase decisions.
What does this mean for businesses? A significant portion of demand remains outside the reach of traditional Search campaigns. While advertisers optimize bids and keywords, users are already moving forward – through recommendations, content, and new touchpoints that classic Search does not always capture.
This shift leads to a new approach to Search – an AI-driven model. With the launch of AI Max for Search, Google is fundamentally rethinking how Search advertising works: moving from manual control and limited reach to a system capable of discovering, interpreting, and scaling demand in real time.
To understand the role of AI Max for Search, it’s important to look at the broader evolution of Google Ads, which we covered in our previous article on Search and Performance Max. In this article, we explore how AI Max for Search works, with a focus on AI Performance Strength – the ability to scale results through AI, not just manage campaigns. We’ll look at the opportunities it unlocks and how to use it to stay ahead of demand rather than chase it.
AI Max for Search: a new way to work with demand
AI Max for Search is not just an extension of traditional Search campaigns – it represents a fundamentally new approach to working with demand. The system is no longer limited to a predefined list of keywords and instead operates based on user intent.
The key difference is that AI Max can identify search queries that were previously not covered by advertising. By combining broad match, keywordless technologies, and intent signals, the system captures a wider range of relevant search scenarios.
In practice, Search is shifting from a “matching queries” model to an “understanding intent” model. Ads are no longer restricted to specific keywords but adapt to context – even when queries are long, complex, or phrased in unconventional ways.
How it works in practice
AI Max combines two core capabilities: expanding search coverage and adapting creative in real time. The system analyzes multiple signals to understand what the user is looking for and deliver the most relevant message at the right moment. This unlocks additional traffic that would otherwise remain outside campaign reach.
On one side, search term matching allows campaigns to go beyond predefined keywords and discover new relevant queries. The system evaluates existing keywords, creatives, and landing pages to show ads in a broader set of relevant scenarios.
On the other side, asset optimization ensures creative relevance. AI automatically generates headlines and descriptions based on website content, keywords, and existing ads, and selects the most appropriate landing page through final URL expansion.
As a result, users see not just an ad, but a highly relevant response to their query. AI Max enables both expanded reach and maintained relevance at the same time.
Google notes that using AI Max in Search campaigns can deliver, on average, up to +14% more conversions or conversion value at a similar CPA/ROAS level, and for campaigns using exact and phrase match, growth can reach up to 27%.
Control remains with the marketer
Despite the level of automation, AI Max does not remove control. Marketers still manage key parameters, including:
- where ads appear and which brands they are associated with;
- which audiences are targeted (including location-based interest signals);
- which landing pages are used;
- how performance is measured through advanced reporting.
This allows teams to combine automation with transparency and control.
AI Max as part of the Power Pack
It’s important to understand that AI Max is not a standalone solution, but part of the broader Google Ads ecosystem.
Within the Power Pack for Retailers, different tools work together:
- Demand Gen and YouTube create demand;
- AI Max for Search captures it at the moment of intent;
- Performance Max converts and scales results.
This approach enables a full-funnel strategy where channels reinforce each other instead of operating in isolation.
How to get the best results
AI Max delivers results only when properly set up.
First, data quality is critical. Without accurate tracking and clearly defined goals, the system cannot optimize effectively.
Second, a strong creative foundation is essential. The better your messaging and offers are structured, the more precisely AI can adapt your ads.
Third, campaign structure should be simplified. Over-segmentation can limit the system’s ability to learn and scale.
Finally, sufficient budget is required. Without it, the system cannot explore new opportunities or scale performance effectively.
AI Max should be implemented as a structured process:
- start with preparation – setting up analytics, validating data, and defining goals;
- then activate AI Max within existing Search campaigns;
- next, strengthen performance through Smart Bidding and creative optimization;
- and only then move to scaling across new segments.
This approach helps maintain efficiency at the start and achieve results faster.
Smart Bidding Exploration: scaling growth
After implementing AI Max, performance can be further improved with Smart Bidding Exploration.
This feature allows campaigns to participate in more auctions and work with a broader set of search queries, including those that previously did not drive traffic or conversions.
Google notes that Smart Bidding Exploration can deliver:
- up to +19% growth in conversions;
- around +18% increase in new search query categories.
This means campaigns not only improve current performance but also start attracting new audiences.
Together, AI Max and Smart Bidding Exploration help achieve two key goals:
- improve traffic quality;
- increase traffic volume.
This enables gradual scaling while maintaining performance stability.
What this means for your strategy
AI Max for Search marks a shift from keyword-based optimization to working with real user behavior.
If your goal is scaling, the most effective setup combines Performance Max, AI Max, and Demand Gen.
If control is the priority, a strategy built around Search with AI Max and YouTube can be more appropriate.
In both cases, AI Max does not replace existing campaigns – it enhances them and helps unlock additional demand. That’s why it’s important not to delay adoption, but to start testing and scaling progressively.
What businesses should do now
The biggest mistake is postponing adoption. Companies that start testing AI Max earlier train the system faster and gain a competitive advantage.
The most effective approach is to launch, learn, and scale. As an Official Google Ads Sales Representative for Kazakhstan, Croatia, Serbia, and Slovenia, Admixer Media supports businesses in adopting the latest AI solutions and building effective growth strategies.
If you want to understand how AI Max for Search can work for your business, get in touch with us. We’ll help you test the solution and scale your results.
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