Most e-commerce teams treat the product feed as a maintenance task. You configure it in Google Merchant Center, fix the validation errors, submit it, and move on. Task complete.
But Google no longer sees the product feed that way. What was a Shopping-campaign-specific tool two years ago has become, in 2026, the central pillar of retail discoverability. Not just ads. We are talking about organic results, YouTube, Google Lens, Maps, AI Overviews. All powered by the same data set in Merchant Center.
A recent article on Search Engine Journal details how Google is repositioning Merchant Center as retail infrastructure. And after seeing the effects on our clients' accounts, we can confirm: the shift is already showing up in the data.
One billion daily searches and the feed is behind them all
Google processes over one billion shopping-related searches every day. Add 20 billion visual searches per month through Google Lens, where one in four carries direct commercial intent. That volume cannot be served through traditional Shopping campaigns alone. Google had to expand the product feed's role far beyond ads.
Merchant Center data now powers organic Search results through free listings, YouTube shopping formats (YouTube exceeded $60 billion in revenue in 2025), Google Lens discovery experiences including virtual try-on, AI Overviews and generative search, Google Maps for local inventory, and Demand Gen campaigns with a 33% conversion uplift when using product feeds.
Nadja Bissinger, General Product Manager at Google, recently stated that Merchant Center is "the backbone that powers organic and ads experiences." That is not marketing hyperbole. It is an accurate description of what the feed does in 2026. The implications for marketing teams are significant: if you are not optimizing your feed, you are losing visibility on surfaces you are not even monitoring.
Product data quality is now a competitive advantage
We have worked with enough online stores to know the default pattern: the feed is one PPC team member's responsibility. They update it, they fix the errors, and they are the only person who knows it exists. But when feed data influences visibility across six different Google surfaces, that approach no longer holds.
What Google sees when it analyzes your feed: what the product is (title, description, attributes), who it is for (categorization, targeting signals), what differentiates it (images, price, availability), and where it can be purchased (local inventory, shipping options). Every missing or incomplete attribute limits the surfaces where the product appears. A product without shipping information will not show in local results. A product without quality images will not appear in Lens. A product without correct categorization is not eligible for AI Overviews.
Ginny Marvin, Google Ads Liaison, put it directly: "Merchants with the most structured, high quality data foundations will be positioned to win." At difrnt., we see this daily. We have had clients increase organic traffic from free listings by 40% simply by correcting feed titles and categories, without touching their ad budget.
This role shift is not unique to Google. In a broader context, visibility in AI and generative engines depends increasingly on the quality of structured data you provide. The product feed is simply the most concrete example in e-commerce.
What you need to change in your feed strategy
First change: move feed ownership out of the PPC team's exclusive domain. The feed is an asset that requires cross-functional management. How you describe the product, categorize it, and photograph it now affects visibility across all Google channels. Merchandising, product, and SEO teams need direct input into feed data.
Second change: add feed health metrics alongside ROAS and CPA in monthly reviews. Product approval rate, attribute completeness, title and image quality scores. We have seen accounts running Performance Max campaigns with feeds where 30% of products were disapproved. That is like paying rent on a store where a third of the shelves are empty.
Third: test beyond Shopping. Demand Gen with product feeds shows a 33% conversion uplift according to Google's data. YouTube shopping formats connect video content directly with the product catalog. AI Max for Search uses feed data to generate contextually relevant creatives. If you are not testing these formats, your competitors already are.
Fourth: document which attributes are missing and what opportunities you are losing because of them. Google provides diagnostics in Merchant Center that show exactly which products are ineligible for specific surfaces. It is a 30-minute audit that can unlock significant visibility. In the Romanian market, where many online stores still use feeds with minimal attributes, this represents a real competitive edge.
Measuring only Shopping ROAS? You are missing the full picture
The most common trap we see: teams that measure campaign impact exclusively through Google Shopping ROAS. That is like evaluating a store window's effectiveness only by direct in-store sales, ignoring that the same window attracts people who then purchase online.
Feed value now distributes across multiple touchpoints: a user sees the product in Google Lens, searches for it on Search, finds it again in an AI Overview, and purchases through YouTube Shopping. No single-channel attribution model captures that journey completely. The practical recommendation: combine Merchant Center data with conversion path reports in GA4. Track not just direct conversions, but also assisted conversions generated by presence in free listings, Lens, and AI.
If you use Performance Max, channel reporting shows you the actual budget distribution across channels. Correlate this data with feed health scores and a clear pattern emerges: products with complete feeds consistently outperform across all surfaces, not just Shopping. It is a connection that standard reports do not highlight, but one that becomes obvious when you combine the data.
In an era where search is evolving from answers to actions, the product feed is no longer a technical checklist. It is the infrastructure on which Google is building the future of retail discoverability. Teams that treat Merchant Center as a strategic asset will gain visibility on surfaces their competitors do not even know exist. And the difference between a "functional" feed and an optimized one is the difference between being present and being invisible.
