Ginny Marvin: AI Max, Search Ads & Advertiser Priorities After GML

Google Marketing Live may have wrapped, but the questions from advertisers are just getting started. To tackle the most pressing concerns, Google Ads Liaison Ginny Marvin recently joined Julie Bacchini and the PPC Chat community for an in-depth Q&A session. The conversation spanned AI Max, AI Overviews, first-party data, AI Brief, measurement, and the evolving landscape of search advertising.

The session delivered several critical clarifications, especially around AI Search eligibility, reporting gaps, and Google’s intensified focus on data quality.

AI Max is not mandatory for AI Search ads

A major takeaway was Marvin’s reassurance that advertisers do not need AI Max enabled to appear in AI-powered search experiences. Campaigns using broad match keywords remain eligible for ads in AI Overviews and AI Mode. AI Max simply expands eligibility by applying broad match behavior to phrase and exact match keywords, plus enabling keywordless matching.

This distinction is vital because many advertisers feared AI Max would become the only gateway into Google’s emerging AI search surfaces. The clarification confirms that multiple paths into AI Search inventory still exist, at least for now.

Don’t expect AI Search reporting anytime soon

For those hoping for placement-level reporting, the news was less promising. Marvin confirmed that ads appearing in AI Overviews and AI Mode are currently lumped together with other top-of-page ads, with no separate performance breakdown. Google is still evaluating what reporting should look like as these experiences mature.

That means advertisers will continue to face limited visibility into how much traffic and performance is specifically driven by AI-powered search experiences.

AI Brief is coming, and Google wants advertisers to guide the machine

Several questions revolved around AI Brief, Google’s upcoming control layer for AI Max campaigns. Marvin explained that advertisers will be able to provide both positive and negative guidance, such as “never mention prices” or specifying audiences, messaging themes, and search intent. The feature will also preview sample assets and queries before deployment.

The rollout begins with AI Max for Search campaigns in English over the coming months, later expanding to Performance Max and AI Max for Shopping. For advertisers worried about losing control in increasingly automated campaigns, AI Brief appears to be Google’s answer.

First-party data remains Google’s favorite answer

If one theme dominated the discussion, it was data. Marvin repeatedly stressed the importance of what Google now calls Data Strength , the quality and completeness of first-party data flowing into advertising accounts. She highlighted tools like Enhanced Conversions, Google Tag Gateway, Data Manager, and direct database integrations as critical inputs for future bidding and measurement systems.

The message aligns with Google’s broader GML narrative: better data fuels better AI.

A new metric aims to measure what traditional attribution misses

Marvin also shed light on Qualified Future Conversions (QFC), one of the more intriguing measurement announcements from GML. This metric estimates conversions that may occur up to 180 days after an ad interaction, helping advertisers understand the long-term impact of campaigns that don’t generate immediate revenue. It’s especially relevant for B2B and lead generation advertisers with lengthy sales cycles.

QFC is currently being tested with a limited group of advertisers, with broader availability expected later this year.

What excites Google most

When asked which GML announcements she was personally most excited about, Marvin pointed to three areas: AI-driven discovery, more sophisticated measurement, and creator-led advertising. Her answer offers a useful glimpse into where Google appears to be investing most heavily.

Why we care

The Q&A provided important context missing from the GML keynote presentations. Advertisers learned that broad match remains a viable route into AI Search, AI-specific reporting is still a work in progress, and Google’s long-term vision continues to revolve around automation powered by strong first-party data.

Perhaps most importantly, it showed that while Google is adding more AI to its products, it’s also building new controls like AI Brief to help advertisers influence how those systems behave , a balancing act that will likely define the next chapter of Google Ads.