Google's Ginny Marvin: AI Search Ads Don't Require AI Max, Here's What Actually Matters

After Google Marketing Live, the ads liaison clarifies eligibility, reporting gaps, and where advertisers should focus their budget and attention right now.

The 5-second version

  • AI Max is not a prerequisite for running AI Search ads, contrary to what some advertisers believed post-GML.
  • Google's push centers on data quality and first-party data, with reporting limitations still being ironed out.
  • Advertisers should prioritize understanding eligibility rules and measurement before rolling out new AI ad formats.

Google Marketing Live ended, but the questions didn't. Advertisers were left wondering which new features they actually need, which ones they can access, and how to measure them. Google Ads Liaison Ginny Marvin joined PPC Chat for an extended Q&A to sort through the confusion, and some of her answers contradicted the take-aways many got from the conference itself.

The Biggest Myth: AI Max as a Prerequisite

One of the most notable clarifications: AI Max is not required to use AI Search ads. This distinction matters because many advertisers left GML with the impression that Google's suite of AI features was bundled or gated behind its largest automation product. It's not.

Data Quality Is the Real Gatekeeper

If AI Max isn't the bottleneck, what is? Data. Marvin's discussion reinforced that Google is increasingly focused on first-party data quality as the foundation for all its newer ad formats. The company is signaling that clean, complete customer data is now the baseline requirement, not an upgrade.

  • First-party data (customer lists, website behavior, CRM feeds) is what powers modern AI ad targeting
  • Data gaps or duplication will limit AI performance and eligibility
  • Google's reporting tools still have blind spots, so you need to know what you can't measure yet

Reporting Gaps Are Real

Marvin confirmed what many advertisers have suspected: measurement and reporting for new AI ad formats have limitations. This is not a small footnote. If you can't measure what an ad format delivers, you can't prove ROI, and you can't optimize spend with confidence.

What Advertisers Should Prioritize Now

  • Audit your first-party data: completeness, accuracy, and recency. This is the limiting factor for all new AI features.
  • Understand eligibility: Not every account qualifies for every format. Confirm directly rather than assuming.
  • Plan for partial measurement: Budget small test amounts where you know measurement is still developing.
  • Hold off on full migration: Don't sunset older ad types until you've proven new ones work in your specific account.

The broader lesson: Google's own liaison had to clarify what Google announced. That's a sign the messaging was muddled, and advertisers were right to ask hard questions. Use this Q&A as your roadmap to avoid wasting budget on features you don't yet qualify for or can't measure.

Questions owners ask

Do we have to use AI Max to run AI Search ads?

No. According to Google Ads Liaison Ginny Marvin, AI Max is not a requirement for AI Search ads eligibility. This was a major clarification after Google Marketing Live left many advertisers confused.

What should we focus on first if we're not ready for all the new AI formats?

Google is emphasizing data quality and first-party data as the foundation. Focus on getting clean, complete customer data into your account before expanding into new AI ad types.

Can we measure everything these new AI ads do?

Not yet. There are reported limitations on what you can measure with AI Search ads and other new formats. Understand the gaps before committing budget, and plan for expanded reporting later.

Is AI Search available to everyone, or are there eligibility gates?

There are eligibility rules for AI Search ads. Marvin's Q&A covered several clarifications on who qualifies, so confirm your account status directly with Google or your ads rep before assuming access.

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