The Grocery Cart Is Changing Fast. Is Your Product Content Keeping Pace?

When Groceryshop named its three anchor themes for this year’s event in Las Vegas (September 22-24), AI-powered shopping and retail media’s next growth phase were the expected picks. The third was not: the GLP-1-driven shift in consumer demand, sitting right alongside them as a topic serious enough to shape 150-plus sessions and draw more than 4,000 retail and CPG leaders. That placement is a signal worth paying attention to on its own. GLP-1 medications have moved from a pharmacy story to a category-performance story, and for anyone managing product content across a grocery or CPG catalog, that shift shows up as a content problem before it shows up anywhere else.

The Numbers Are Already Moving

The scale of this shift is easy to underestimate if you’re not looking at adoption data directly. GLP-1 use among U.S. consumers has grown from 5.8% in 2024 to 12.4% today, roughly 31 million current users, with 137 million adults eligible based on current prescribing guidelines. That’s not a niche wellness trend anymore. It’s a demand shift large enough to move category-level numbers. Frozen food shows the single largest CPG category impact, with dollar spend down roughly 3 points over the first year of active use, and savory snack spending down about 10%, according to Food Business News. On the other side of the cart, active users expect to spend 15% more each month on fruit and vegetables and 11% more on high-protein foods, per eMarketer.

Consumers Are Reading Past the Marketing Claims

The first wave of brand response to this shift leaned hard on front-of-pack language, terms like “GLP-1 Friendly,” “GLP-1 Activator,” or “GLP-1 Support.” None of those terms are regulated by the FDA, and shoppers have started to notice. According to recent reporting from FoodNavigator, GLP-1 users are increasingly skipping past these claims and going straight to the nutrition panel. In one survey cited in that reporting, 39% of respondents said protein and fiber content mattered most in a purchase decision, 38% pointed to clear serving-size guidance, and 42% of current users said refrigerated and frozen formats specifically helped them manage portion control.

That’s a fairly precise list of what this shopper actually wants to see on a product page: accurate protein and fiber counts, serving sizes stated in a way that supports portion control, and ingredient callouts that hold up under a more skeptical read than a vague claim used to get. A front-of-pack sticker doesn’t solve for that. Complete, accurate, well-structured product attributes do.

This Is a Product Content Problem Before It’s a Marketing Problem

Here’s where this stops being a trend piece and starts being an operational one. If protein, fiber, serving size, and portion-control messaging are now purchase-deciding attributes for a fast-growing share of shoppers, every SKU that’s even plausibly relevant needs those attributes populated correctly, consistently, and quickly, not just on your own site but across every retailer PDP, every GDSN feed, and every AI shopping assistant that might be summarizing your product to a customer who didn’t type “GLP-1” into the search bar at all.

That’s a taxonomy and attribute problem as much as it’s a copywriting problem. A catalog with clean, standardized attributes for protein, fiber, serving size, and portion claims can respond to a demand shift like this in days. A catalog where that information is scattered across spreadsheets, inconsistent between SKUs, or missing entirely has to solve the same problem product by product, channel by channel, while the shelf keeps moving. This is precisely the kind of work Sitation’s Plezio Root is built for, giving a catalog the taxonomy and attribute structure to represent something like a portion-control or protein-forward claim consistently across thousands of SKUs, and Plezio Draft for generating and updating the actual product copy, descriptions, and claims at the scale a shift like this demands, without a rewrite queue that takes months to clear.

The AI Layer Makes This Even More Urgent

The GLP-1 theme doesn’t sit in isolation from Groceryshop’s other two headline topics. AI-powered shopping assistants, the kind Albertsons, DoorDash, and Instacart have all been racing to build, are increasingly the layer standing between a GLP-1 user and their cart. A shopper asking an assistant to “build me a high-protein, portion-controlled grocery list” is relying entirely on the assistant’s ability to correctly identify which products actually meet that description. As we’ve written about in Two Shelves to Win, the AI systems making these recommendations depend on structured, complete data to include a product in an answer at all. A product with strong protein content but missing or inconsistent attribute data simply doesn’t get recommended, no matter how well it would actually serve that shopper.

That makes this less of a single-quarter marketing push and more of a durable data infrastructure question. The brands that show up correctly in a GLP-1 shopper’s assistant-built list next year are the ones getting their attribute foundation right this year.

What This Means Heading Into Groceryshop

None of this is a reason to panic-rewrite an entire catalog before next week’s event. It is a reason to treat this as more than a passing headline. The category-level numbers are already moving, the shopper behavior behind them is well documented, and the event where 150-plus retail and CPG sessions are being built around exactly this shift starts in six days. Whether or not you’re in Las Vegas for it, the underlying question is the same: can your product content actually answer what this shopper is asking, and can it do that everywhere they’re shopping, not just on the channel you updated first?

Ready to see what a structured, fast-moving product content foundation would look like for your grocery or CPG catalog? Let’s talk about how Plezio Root and Plezio Draft help teams respond to shifts like this one before the shelf moves on without them.