Google Ads Liaison Ginny Marvin just confirmed what many suspected: AI Search ad eligibility requires the same campaign types it always did. The real news is buried in a new metric called Qualified Future Conversions, and it has significant implications for how B2B teams attribute pipeline.
In the latest Ads Decoded Q&A following Google Marketing Live, Marvin addressed three topics generating noise from advertisers: AI Search eligibility, Qualified Future Conversions (QFC), and YouTube Creator Partnerships. No new product announcements. But the subtext matters more than the surface.
AI Search Eligibility: Same Rules, Higher Bar
Marvin's answer on eligibility was blunt. Advertisers using Performance Max, AI Max for Search, Shopping campaigns, or broad match with Smart Bidding already qualify for AI Mode placements. Standard Search campaigns don't. That hasn't changed.
What she spent more time on was why the relevance bar is higher in AI Search. In her words: "Ads are matched to Google's understanding of the user intent based on both the user query and the content in the response." Translation: Google's system evaluates the AI-generated answer alongside the query before deciding which ad to show. Your ad competes against the context of the conversation, not just the keyword.
Text customization and Final URL Expansion were both referenced as mechanisms that help ads match conversational queries. AI Brief, rolling out in English soon, will let advertisers provide messaging and audience guidance in natural language. Brand controls, location-of-interest settings, and URL inclusion/exclusion lists give some guardrails inside AI Max.
The practical takeaway for B2B SaaS teams: if you're running standard Search campaigns only, you're invisible in AI Mode. And given that over 76% of solution-aware searches reportedly trigger an AI Overview, that's a growing slice of demand you can't reach. (That stat is directional, not definitive; validate it against your own SERP sampling before restructuring budgets.)
Qualified Future Conversions: A Measurement Signal Worth Interrogating
QFC is where the conversation gets interesting for anyone running demand gen or awareness campaigns on Google. Marvin described it as a predictive metric estimating conversions up to 180 days after an ad interaction. It combines early signals like branded searches with historical data to forecast future sales.
Google's framing centers on what they call the "growth gap." Their own data: roughly 70% of conversions from standard Google Ads campaigns happen within a 30-day click and 3-day engaged-view window. For Performance Max, that drops to about 50%. For Demand Gen campaigns, 40%.
That means 60% of Demand Gen conversions fall outside the standard attribution window. QFC is Google's attempt to make those visible.
The trade-off is obvious. QFC is a modeled metric, built on Google's data. Some advertisers have already questioned whether it could overstate Google's contribution by predicting conversions that would've happened through another channel. Marvin didn't address that directly. She did emphasize QFC is supplemental, not a replacement for existing conversion metrics.
Here's the operator-level read: QFC is useful as a directional signal, the same way you'd treat Attributed Branded Searches or any platform-reported metric. Don't use it as proof of incrementality. Use it as a hypothesis generator. If QFC shows a cluster of predicted conversions from a specific Demand Gen campaign, that's a signal to run a holdout test against that campaign and measure actual lift in pipeline.
The feature is in limited testing now, with broader availability expected later this year.
Creator Partnerships: Not Just for Consumer Brands
Marvin confirmed that advertisers need explicit permission before promoting creator content in Google Ads. That part is straightforward.
More relevant for B2B: she pushed back on the assumption that creator partnerships are reserved for large consumer brands and influencers. She specifically encouraged advertisers to look at creators with smaller, engaged audiences covering SaaS, lead generation, and niche industries. Many companies already have creators publishing reviews or product walkthroughs that could become paid partnership assets.
For B2B SaaS teams, this is worth a 30-minute audit. Search YouTube for your product name, your category, and your top competitors. If someone with 2,000 to 50,000 subscribers is already making content about your space, that's a potential creative asset you're not using.
What to Do This Week
Campaign structure check: Confirm whether your priority campaigns qualify for AI Mode placements (Performance Max, AI Max, Shopping, or broad match with Smart Bidding). If they don't, map which campaigns need restructuring and what the budget implications are.
QFC readiness: When the feature becomes available to your account, treat it as a leading indicator, not a KPI. Set up a comparison framework: QFC predictions vs. your CRM's actual closed-won data at 90 and 180 days. The hypothesis: if QFC directionally aligns with CRM outcomes within a 15% margin, it's a useful planning signal. If not, it's noise.
Measurement guardrails: Don't let any single platform metric (QFC included) drive budget allocation without a holdout or incrementality test backing it up. Primary metric: pipeline influenced. Secondary: branded search lift. Stop-loss: if QFC-attributed pipeline doesn't materialize in CRM within two quarters, deprecate it from your reporting.
Google's broader direction is clear. They want advertisers deeper inside AI-powered campaign types, and they're building measurement tools that favor longer attribution windows. Both moves benefit Google. That doesn't make them wrong, but it does mean every new metric deserves the same scrutiny you'd give any vendor's self-reported data. Trust the signal. Verify the source.
