Google’s AI Shopping Updates Are Here. Feed Readiness Just Got Way More Strategic.

Google just rewired how millions of shoppers discover products—and if your product feed isn’t ready, you might already be missing out.

At I/O 2025, it introduced a wave of AI updates to its Shopping experience: smarter product suggestions, contextual answers, and real-time price tracking. These changes aren’t cosmetic—they reshape how your products get found.

AI now scans listings for details that match a shopper’s intent. Listings with specifics—like size, material, or compatibility—have a better shot at surfacing. Generic or incomplete feeds risk falling behind.

Your product feed is now the starting point for visibility. Every field matters: the attributes you include, how often you update prices, and whether your data matches what shoppers are actually searching for.

AI has made your product data the new front door of discovery

Search is no longer just a list of links. It’s becoming a conversation—one where Google’s AI suggests products based on what people actually want, not just what they type.

That shift puts your product data front and center. When Google builds answers with shopping suggestions built in, it looks at the information in your feed. The details you include—or leave out—can decide whether your product shows up or gets skipped.

Your feed isn’t just a backend tool anymore—it’s your new storefront. Every attribute, from materials to shipping speeds, helps Google match your product to someone’s intent. Clean, structured data isn’t optional anymore—it’s what powers visibility.

Every attribute counts: Why product specificity drives visibility

Google’s AI isn’t just scanning for keywords—it’s looking for answers. When a shopper searches for something like “breathable bamboo crib sheets under $40,” it expects results that match all those details. If your product feed includes that level of specificity, you’re in. If it doesn’t, you’re invisible.

That’s why Google emphasized the need for detailed listings. As they put it: “That’ll make it easier to find more specific, custom products that best align with your needs, while it’ll also mean that brands will want to include as many relevant details along these lines as possible to maximize discovery potential.”

That isn’t just a nice-to-have. It’s a clear signal that products with rich attributes—like materials, sizing, intended use, and compatibility—are more likely to surface in AI-powered results.

You can add these details directly into your product feed using tools like supplemental feeds, rule-based enrichment, or dynamic field mapping. The goal is to give the algorithm enough context to match your products to specific, intent-driven searches.

Price updates matter more than ever as Google’s AI tracks them and shoppers follow them

AI-driven shopping isn’t just about finding the right product—it’s also about timing. Google now lets users track prices and get notified when a product drops to their preferred range. That means pricing isn’t just about conversion anymore—it’s part of how people discover your products in the first place.

Here’s how Google explained it: users are “able to track price changes, and build an alert based on your preferred price.” That turns your pricing into a visibility trigger.

If you’re updating prices manually or inconsistently, you risk missing the window where a shopper is ready to buy. But when your feed reflects real-time price changes, promotions, or seasonal discounts, Google’s AI can surface your listing the moment it matches someone’s budget.

Price syncing is now a core part of your feed strategy. Make sure your data pushes are frequent, reliable, and aligned with your pricing logic—especially across high-volume or fast-moving SKUs.

Product video generation is coming and structured data will determine if you're included

Google's AI capabilities are advancing, and one of the most exciting developments is the upcoming product video generation directly from your Shopping feed. This means that soon, your existing product images, descriptions, and even reviews can be automatically transformed into dynamic, engaging video content.

More specifically, Google is expanding its "Try It On" feature—also known as virtual try-on (VTO) or AI try-on—to generate immersive product videos and demos directly from your Shopping feed. This means your images, product descriptions, and reviews can be auto-transformed into lifelike try-on experiences, especially for categories like apparel, eyewear, and beauty. The better your data, the better your chances of being featured.

This evolution emphasizes the critical role of structured data. Google's AI will leverage the quality and completeness of your product feed to create these videos. The richer and more accurate your data, the higher the likelihood that your products will be featured in these new, highly engaging video formats, including the "Try It On" experiences. This will significantly impact how shoppers interact with products and make purchasing decisions, making a well-optimized feed more strategic than ever.

AI needs clear, detailed inputs to generate visual content that actually represents your product. This isn’t about flashy creative—it’s about providing structured content that AI can work with.

To prepare, make sure your feed includes:

• Clean, high-quality image links (HTTPS, not pixelated, no watermarks)
• Descriptions that focus on use cases and key features
• Accurate titles that include brand, product type, and defining attributes

These fields serve as the raw material for Google’s AI. The more complete and consistent they are, the more likely your listings will qualify for early video features.

Build a feed that keeps up with AI to stay visible as shopping evolves

Discovery isn’t just about ad spend or branding anymore. Visibility now depends on how well your product data aligns with how people search—structured, specific, and always up to date. Google’s AI is evolving fast, and your feed needs to move with it.

To keep up, use tools that help you:

• Enrich your listings with relevant, specific attributes
• Sync pricing changes as they happen
• Clean up missing or incomplete product fields
• Tailor data for different platforms or audiences
• Push updates frequently, without doing it all manually

A solid feed setup doesn’t just fix errors. It gives your products a better shot at showing up when shoppers are ready to buy—based on what they’re looking for, how much they want to spend, and how they search.

Pro tip: If you’re new to feed setup or just need a quick refresher, our Feed Management Basics tutorial covers the core concepts.

Sellers at the top of Google all have one thing in common—cleaner, richer product data

Google’s AI updates are already live, quietly changing how shoppers find and choose products.

Feed quality now drives visibility. The details you include, how frequently you update them, and how closely they match shopper intent are the signals that determine whether your listings appear at all.

This shift isn’t about chasing trends—it’s about building a feed that aligns with how Google surfaces results today.

If your feed isn’t built for AI discovery, your products are already falling behind. See how GoDataFeed helps future-proof your listings in our guide to better data feed management.