Google's AI Max for Search Campaigns: Ginny Marvin's Complete Guide

Google's AI Max for Search represents a significant evolution in Search campaign management, bringing Performance Max-style automation to the familiar Search campaign interface while maintaining advertiser control and transparency. In a May 2025 PPCChat session, Google Ads Product Liaison Ginny Marvin provided comprehensive answers to advertiser questions, clarifying exactly how this feature suite works, what it can do for campaign performance, and how marketers can leverage it effectively. This guide synthesizes her official guidance with practical implementation strategies.

What Is AI Max for Search?

AI Max for Search is not a new campaign type but rather a one-click feature suite that can be activated within existing Google Search campaigns. According to Ginny Marvin, the feature brings three core capabilities to traditional Search campaigns:

1. Search term matching - Expands beyond your explicit keywords using broad match logic and keywordless targeting
2. Text customization - Dynamically generates ad copy headlines and descriptions based on your landing pages, existing assets, and keywords
3. Final URL expansion - Automatically routes users to the most relevant landing page on your site

Your existing campaign settings do not change, including location, budget, and language. However, AI Max introduces new optional location controls at the ad group level that provide additional targeting flexibility for advertisers seeking to reach users based on expressed geographic intent.

How AI Max Differs from Performance Max

A critical distinction that Ginny Marvin emphasized is that AI Max operates only within the Search inventory, unlike Performance Max which spans multiple Google channels. As she explained during the PPCChat session:

"AI Max for Search campaigns is built to have parity with Search on PMax. Both AI Max for Search campaigns and PMax use the latest Google AI and the main difference is that PMax serves ads across Search and non-Search channels, while AI Max for Search campaigns only serves on Search text inventory."

This means AI Max provides the automation benefits of Performance Max while maintaining the focused targeting and transparent reporting that Search campaigns have always offered. Advertisers who want the control of Search with AI-driven expansion capabilities will find AI Max for Search an attractive middle ground between manual Search management and full Performance Max automation.

For teams already running Performance Max campaigns, AI Max offers a way to capture additional Search-specific inventory without the complexity of managing a second campaign type across different channels.

Keywordless Campaign Types

One of the most significant features of AI Max is keywordless targeting, which represents a fundamental shift from traditional keyword-based matching. Ginny Marvin provided crucial clarification on how this works:

"Broad match is not considered 'keywordless' because the keyword is what's used for matching to the query (along with other signals). DSAs and PMax are examples of using keywordless technology where you do not explicitly enter keywords for targeting. AI Max for Search uses two types of info for keywordless targeting: landing page info like DSA, as well as targeting based on the content in the ad group including your assets and keywords."

This means keywordless targeting in AI Max operates on two levels that work together to understand the relevance of your campaign to user queries. The system analyzes your entire campaign ecosystem rather than relying solely on explicit keyword lists.

Search Term Matching Behavior

A common concern among advertisers is how AI Max handles keyword prioritization, particularly with exact match keywords. Ginny Marvin addressed this directly:

"If the user's search query is identical to an eligible Search keyword of any match type in your account, the Search campaign will be prioritized over AI Max for Search campaigns keywordless and broad match expansions, and PMax."

This prioritization ensures that your existing keyword strategy remains the foundation of your campaigns, with AI Max expanding reach only where keywords do not already match. Advertisers can confidently test AI Max knowing that their established keyword investments will not be undermined by automated expansions competing for the same queries.

For campaigns transitioning from broad match or phrase match keywords to AI Max, this means the system will intelligently identify genuinely new query opportunities rather than re-bidding on searches you already capture through your existing keyword portfolio.

Exact Match and AI Overviews

For queries triggering AI Overviews (formerly SGE), Ginny Marvin clarified an important behavior change:

"Google clarified that exact keywords do not serve ads in AI Overviews, but they also no longer prevent broad match keywords from triggering those placements."

This means exact match keywords will not block broader match types from participating in auctions for AI Overview queries, allowing for more efficient coverage of these new search result formats. As AI Overviews become more prevalent in search results, this behavior ensures advertisers using AI Max can capture impressions that might have been unavailable under previous exact match restrictions.

The practical implication is that advertisers no longer need to choose between exact match precision and broad match reach when targeting AI Overview queries. The systems can now work together to maximize coverage while maintaining the advertiser's intended keyword hierarchy.

Search Intent and Targeting

AI Max leverages Google's AI to understand search intent beyond literal keyword matching. The system considers multiple signals to determine when your campaign is relevant to a user's query, even when no explicit keyword matches exist.

• User behavior signals include past searches, browsing history, and engagement patterns that indicate what the user is likely looking for
• Contextual signals encompass device type, geographic location, time of day, and the user's search history
• Landing page relevance measures how well your website content matches the query intent and whether your pages provide value for that search
• Ad group theming considers the collective meaning of keywords, assets, and creative in each ad group to understand the overall relevance of your campaign to different query types

This multi-faceted approach to intent understanding enables AI Max to identify relevant query opportunities that traditional keyword-based targeting might miss, while still maintaining the guardrails that prevent irrelevant matches.

Ad Group Level Controls

AI Max introduces new targeting controls at the ad group level that give advertisers more granular control over how the system expands their targeting:

• Location of interest targeting allows you to target users based on expressed geographic intent in their searches, reaching people who include location terms in their queries
• Brand controls let you specify brands you want to be associated with or exclude from your campaigns
• Search category tracking enables you to add tracking parameters to identify AI Max-generated traffic separately from keyword-matched traffic

Ginny Marvin provided specific guidance on using these controls effectively: "If you are using location in your keywords, we recommend adding it as a location of interest at the ad group level so that keywordless targeting will respect it too."

These new controls work alongside existing campaign-level settings, providing an additional layer of precision for advertisers who need more specific targeting than broad campaign settings allow.

Geographic Targeting Flexibility

For advertisers targeting tourists, travelers, or users interested in locations where they are not physically present, AI Max offers new possibilities through flexible geographic targeting. As Ginny Marvin explained:

"You can use locations of interest at the ad group level to reach users based on their expressed geo intent when they have the location in their search query, or based on their physical location when a location is not expressed in the search query."

This flexibility is particularly valuable for businesses in the travel and hospitality industry, local service providers expanding to new markets, and e-commerce companies selling products associated with specific destinations. The ability to target based on expressed interest rather than physical location opens up new audience segments that traditional geographic targeting could not reach.

When implementing these controls, advertisers should consider whether they want to capture users actively researching a location (geo intent targeting) or users physically present in that location (physical location targeting), as the strategic implications differ significantly for different business models.

Technical Implementation

Smart Bidding Requirements

A critical requirement for AI Max is the use of Smart Bidding strategies. According to Ginny Marvin:

"You must be using Smart Bidding, Max Conversions or Max Conversion Value with optional target, to use AI Max for Search campaigns."

This means traditional manual bidding or enhanced CPC cannot be used with AI Max features enabled. The Smart Bidding requirement ensures the AI can optimize toward your conversion goals while expanding reach in a way that aligns with your business objectives. Campaigns using manual bidding will need to be converted to Smart Bidding before AI Max can be activated.

For advertisers who have been relying on manual bidding strategies, this transition requires careful consideration of conversion tracking setup and goal alignment. The investment in Smart Bidding preparation typically pays off in improved performance, but advertisers should ensure their tracking infrastructure is solid before making the switch.

Drafts and Experiments

Google supports testing AI Max through the standard Drafts and Experiments workflow, enabling advertisers to measure incremental impact before full rollout. Ginny Marvin confirmed:

"Drafts and experiments are available for AI Max! And more backend improvement for A/B testing capability is on the roadmap."

This allows advertisers to create control campaigns without AI Max enabled and test campaigns with AI Max activated to measure the true incremental impact of the feature suite. The ability to run controlled experiments is essential for understanding whether AI Max is delivering genuine performance improvements or simply shifting conversions from existing campaigns.

For the most accurate testing, advertisers should run experiments for a sufficient duration to capture representative performance across different days of the week and seasonal variations in search behavior.

Measurement and Performance Tracking

New Reporting Features

AI Max introduces several new reporting capabilities to provide transparency into automated features that were previously black boxes in Performance Max campaigns. By leveraging AI-driven marketing automation, advertisers can gain deeper insights into how their campaigns perform across different targeting methods.

Search Terms Report enhancements include a new Source column that indicates whether traffic came from your explicit keyword, from AI Max keywordless technology, or from broad match keyword expansion. This visibility allows advertisers to understand exactly how the system is finding their traffic and optimize accordingly.

The dedicated AI Max for Search View shows queries alongside headlines and landing page combinations, helping advertisers identify which asset and URL combinations performed best for keywordless traffic. This level of granular reporting enables optimization decisions based on actual automated match performance rather than relying on aggregate metrics alone.

Early performance data from Google indicates positive results for advertisers adopting AI Max. According to Ginny Marvin's statements during the PPCChat session:

"Advertisers that activate AI Max in Search campaigns will typically see 14% more conversions or conversion value at a similar CPA or ROAS. For campaigns that are still mostly using exact and phrase keywords, the typical uplift is even higher at 27%."

These figures represent aggregate performance across participating advertisers and provide a benchmark for what advertisers might expect when implementing AI Max. The higher uplift for campaigns using exact and phrase keywords suggests that AI Max is effectively identifying genuinely new query opportunities rather than simply re-bidding on existing traffic.

As with any performance benchmark, individual results will vary based on industry, competition, and existing campaign maturity. Advertisers should use these figures as general expectations while measuring their own specific results through controlled experiments.

Strategic Considerations

When to Use AI Max

Based on Ginny Marvin's guidance and available performance data, AI Max is particularly effective for several campaign scenarios that align with its core strengths.

Campaigns using mostly exact and phrase match keywords can expect the highest incremental uplift at 27%, as the system finds genuinely new query opportunities beyond your existing keyword coverage. Advertisers seeking to expand keyword reach can capture untapped query opportunities that would otherwise require extensive keyword research and list building. Brands with strong landing page experiences will benefit most from text customization and URL expansion features that depend on quality destination pages to drive conversions. Seasonal or trend-responsive campaigns can leverage AI's ability to quickly adapt to shifting search behavior without manual keyword updates.

For these scenarios, AI Max offers a compelling combination of automation benefits and advertiser control that can significantly improve campaign performance with proper implementation.

When to Proceed with Caution

While AI Max offers significant benefits, Ginny Marvin identified scenarios where modified implementation or careful monitoring is required for successful deployment.

Strict brand guideline requirements may be challenged by text customization, which generates dynamic ad copy that could deviate from established brand voice and messaging standards. Sensitive business categories like healthcare, finance, or legal services need careful monitoring of automated landing page selection to ensure appropriate content alignment. Frequently changing website content presents challenges as AI may serve outdated page references or combine elements in ways that create inconsistencies.

Niche products with limited inventory require special attention because URL expansion could surface options that are unavailable or no longer relevant. In these scenarios, advertisers should apply appropriate controls including URL exclusions, negative keywords, and manual review of automated content to maintain campaign integrity while still benefiting from AI Max's targeting capabilities.

Sources

1. PPCChat: AI Max for Search Campaigns Questions Answered with Google Ads' Ginny Marvin

2. Search Engine Land: How to tell if Google's AI Max for Search is actually working

3. Search Engine Land: Google Exact match keywords won't block broad match in AI Max

4. Karooya: AI Max for Search - What It Is, How It Works, and When to Use It