Most advertisers still treat their product feed as a Shopping campaign input: fill in the required fields, keep disapprovals under control, move on. Google’s own language about Merchant Center data suggests that view is already out of date. On a recent episode of its Ads Decoded podcast, Google executives described product data as the connective tissue behind free listings, YouTube shopping formats, Lens, virtual try-on, and a growing list of AI-driven discovery surfaces — not just the fuel for a Shopping tab.

That is a meaningfully bigger job description for a data feed that many teams still hand off to whoever has time. Here is what the shift actually signals, and what to do about it before it becomes a competitive gap.

Merchant Center is becoming shared infrastructure, not a Shopping dependency

The clearest statement in the podcast came from Nadja Bissinger, General Product Manager of Retail on YouTube, who called Merchant Center feeds the “backbone that powers organic and ads experiences” and urged merchants to submit the most complete product data they can to maximize discoverability.

That framing matters because it detaches the feed from any single campaign type. Google says people shop across its properties more than 1 billion times a day, spanning Search, YouTube, Maps, and visual search. Lens alone now handles more than 20 billion visual searches a month, and roughly one in four of those carries commercial intent. None of that traffic runs through a Shopping campaign in the traditional sense, yet all of it depends on the same structured product data.

The practical effect is that feed quality now touches organic visibility, merchandising, creative presentation, promotions, and how products surface in newer AI-led experiences — well outside the paid media team’s usual lane. Larger organizations will need tighter coordination between paid media, SEO, merchandising, and product teams to keep that data consistent. Smaller teams can start simpler: give the feed the same attention already given to ad copy and landing pages. We have covered the SEO side of this directly in why your product feed is an SEO asset, and who should own it.

Why Google is pushing this so hard right now

Google’s incentive here is straightforward. It wants more commerce activity to happen inside Search, YouTube, Maps, and whatever agentic shopping tools come next, and none of that expansion works without merchant data that is accurate, structured, and reusable across surfaces. There is a financial angle too: Google’s Q4 2025 earnings showed 17% growth in Search revenue, with YouTube ads and subscriptions combined crossing $60 billion.

A well-built feed tells Google what a product is, who it’s for, what differentiates it, where it’s available, what it costs, and how it should be presented. That is a much richer signal set than the keywords and landing pages that powered traditional search ads, and it becomes more important as shopping experiences get more visual, more personalized, and more automated. Google is building the surfaces; the feed is the raw material that makes them work. Advertisers who keep optimizing bids while ignoring feed quality are tuning an engine that increasingly isn’t the one driving visibility.

A bigger strategic play than “better feeds”

Read broadly, this looks less like a feed hygiene initiative and more like Google positioning itself as a growth partner that extends past media buying entirely. The areas it’s now touching — merchandising, product discovery, pricing visibility, local commerce, measurement, purchase-ready experiences — sit closer to core business operations than to campaign management. The more deeply Google embeds itself in those decisions, the more it becomes tied to a retailer’s overall growth rather than just its ad performance.

The measurement gap that keeps feed work underfunded

Part of why feed optimization stays deprioritized is that most teams are still scoring it against the wrong metric. If the only question asked is “did Shopping ROAS improve this week,” the broader value of better product data disappears from the report. Google cited a 33% conversion uplift for advertisers running Demand Gen with product feeds — a result tied to a campaign type that has nothing to do with classic Shopping ROAS.

The reality is that feed improvements show up in places a Shopping dashboard was never built to capture: a stronger title lifting discoverability, better imagery improving engagement in visual placements, accurate pricing improving click appeal, richer attributes helping Google understand relevance, availability data supporting local and omnichannel visibility. Those gains land across assisted paths and blended performance trends, not one tidy report.

Ginny Marvin, Google Ads Liaison, closed the episode with a line worth repeating to any team still treating the feed as a one-time setup task: merchants with the most structured, high-quality data foundations will be positioned to win. Winning comes from ongoing optimization, not from uploading a feed once and forgetting it. If you want the fuller picture of what Google is signaling about AI-assisted matching, see Google’s Marvin clarifying AI search and qualified future conversions.

What the AI Max emphasis says about the future of Search

One detail stood out in how the panel discussed campaign strategy: AI Max for Search came up repeatedly, while standard Search campaigns barely got a mention. Firas Yaghi, Global Product Lead for Retail Solutions, framed campaign choice around the advertiser’s objective — cross-channel efficiency, granular control, or a hybrid that balances top-line sales against internal targets — and the discussion leaned heavily toward Performance Max, Demand Gen, and AI Max.

That is not proof standard Search is disappearing; there is still a case for tightly controlled campaigns built around brand protection and proven high-intent terms. But it does show where Google wants advertisers’ attention pointed. That direction lines up with Google’s earlier move to fold Dynamic Search Ads into AI Max for Shopping and travel campaigns, part of a broader push toward automation and first-party signals. Search strategies still built on legacy keyword structures will likely become less competitive over time, even if they don’t vanish outright.

How PPC managers should actually respond

In most organizations, Merchant Center data is controlled by merchandising, e-commerce, or product teams focused on inventory and pricing, not media visibility. That gap is exactly where a PPC manager can add value: connecting feed decisions to the campaign performance data only they can see — impressions, traffic quality, conversion trends, missed opportunities.

A few concrete moves:

• Redirect effort toward inputs that scale. A round of minor bid or budget tweaks caps out fast when titles are thin, images are weak, or attributes are missing. Fixing the underlying data often outperforms another optimization pass.
• Put feed health in the regular performance review. Spend, ROAS, and CPA don’t show whether product data is helping or limiting reach. Track disapprovals, missing fields, image quality, and pricing accuracy with the same rigor.
• Test across surfaces, not lanes. Search, Shopping, YouTube, and newer formats are converging. Structure tests around what a stronger feed unlocks across all of them, not one channel at a time — our walkthrough of a feed-only Performance Max campaign is a useful starting point for isolating feed impact.
• Treat data quality as a competitive edge now, not later. Advertisers waiting for these placements to fully mature are ceding an advantage to whoever invests early.

What practitioners are already saying

The reaction on LinkedIn suggests this is landing with working advertisers, not just Google’s marketing team. Zhao Hanbo described feed work as something that “used to feel mostly like ad ops plumbing” and is now “becoming core infra for AI commerce.” Sophie Westall called feed quality “a core part of overall media strategy, not just a hygiene task.” Menachem Ani put it plainly: fixing a product feed means “campaigns start working harder without touching a single bid.” The consensus is shifting from isolated campaign settings toward data quality as the lever that actually moves results — a theme that also shows up in how agentic commerce is rewriting the rules of Google Ads.

The takeaway

Google is rapidly expanding where products can appear — paid, organic, visual, AI-generated — and product data is what makes all of it possible. Treating the feed as maintenance work that only gets attention when Shopping numbers dip is a strategy built for a version of Google that no longer exists. It deserves a permanent seat in planning and testing, because it now influences far more than any single campaign.

Frequently asked questions

Is feed optimization still just a Shopping campaign task?

No. Google now uses the same product data to power free listings, YouTube shopping formats, Lens results, Demand Gen, Performance Max, and AI-led discovery surfaces. Feed quality affects visibility well beyond Shopping ads.

Who should own the product feed inside a company?

Ownership varies, but PPC, SEO, and merchandising teams all depend on the same data and should coordinate on it. In smaller organizations, one person can own it as long as it gets the same attention as ad copy and landing pages.

Does this mean standard Search campaigns are going away?

Not immediately. Google’s messaging leans heavily toward AI Max, Performance Max, and Demand Gen, but there is still a case for tightly controlled Search campaigns around high-intent, brand-protection terms.

How should feed health be measured?

Beyond Shopping ROAS, track disapprovals, missing fields, image quality, pricing accuracy, and promotional coverage as part of regular performance reviews, since feed improvements often show up in blended and assisted-conversion data rather than one campaign report.