Google Doppl expands into an AI-powered shoppable feed, bringing a TikTok-style discovery experience to fashion. The update, still in Google Labs, adds a vertical, scrollable gallery where each video is generated by AI—no influencers, no selfies, just digital twins showcasing outfits designed from real retailer data. This move marks Google’s continued push into visual commerce and AI-driven shopping, signaling a broader shift in how people discover and purchase fashion online. For marketers, the big question isn’t whether AI will influence retail, but how platforms will shape the customer journey next.
What Doppl’s new feed does and why it matters now:
- A fully AI-generated shopping feed that blends short-form video with personalized outfit recommendations.
- Users can tap videos to virtually try on items using a 3D avatar, with most products directly shoppable via embedded links.
- Google builds a style profile from user inputs and interactions within Doppl to tailor future outfit suggestions and visuals to individual tastes.
- The feature is live on iOS and Android in the United States for users aged 18 and up.
This update reflects a growing trend: combining AI personalization with mobile-native shopping. While platforms like TikTok and Instagram have already shown how short-form video can drive impulse purchases, their feeds rely on influencers and user-generated content. Google, by contrast, is testing a fully AI-generated format that replaces personalities with algorithms and static product pages with dynamic, interactive visuals.
In a broader e-commerce context, Doppl sits at the intersection of three key capabilities:
- Discovery via a feed reminiscent of TikTok
- In-app try-on using AR or 3D avatars
- Direct checkout links that send shoppers straight to merchants
Google isn’t alone in exploring AI-generated shopping content. Meta is testing an AI-video feed called “Vibes” in its AI app, and OpenAI has introduced Sora, a platform focused on AI video content. What once felt uncanny—AI avatars and synthetic try-ons—is rapidly becoming a standard feature.
For brands navigating retail, AI, and influencer marketing, Doppl’s feed offers several strategic takeaways:
1) AI-led discovery is expanding the shopping funnel. Traditional strategies centered on influencer posts, SEO, and product pages, but Doppl introduces a personalized AI video entry point. If this approach gains traction, brands may shift from briefing creators to guiding algorithms.
2) Google is prioritizing automation over creators (for now). Unlike influencer-driven platforms, Doppl’s feed relies on AI, reducing immediate dependence on influencer campaigns and creating opportunities to train AI styling on first-party brand assets.
3) Visual content with reduced production cost. Short-form video delivers strong ROI but is costly to scale through studios. Doppl automates this process, potentially enabling brands—especially smaller labels or DTC startups—to reach users with personalized outfit videos without a traditional shoot.
4) A signal of Google’s e-commerce ambitions. This isn’t merely a lab experiment; it’s a testing ground for integrating AI and shopping across Google properties like Search and YouTube. As Google competes with Amazon for product discovery, Doppl could preview features that migrate to other platforms.
Overall, Doppl’s AI shopping feed is less about fashion and more about experimenting with AI-driven retail at scale. It isn’t about replacing TikTok, but about learning from it while avoiding the complexities of creator partnerships and manual content production.
For marketers, the key lesson isn’t to chase every new platform but to understand the mechanics behind these innovations. If synthetic content becomes commonplace, brands should plan how and where to appear within algorithm-driven discovery feeds, and consider how AI-generated visuals fit into their broader strategy.
Would you embrace an AI-generated shopping feed for your brand, or do you prefer traditional creator-driven experiences? Share your take in the comments.
