AI-referred traffic to US retailers grew 393% year over year in Q1 2026. Those visitors convert 42% better than non-AI shoppers. The window to get your products in front of this traffic is open right now, and it closes faster than most merchants realize.
Agentic commerce is a model of online shopping where AI agents handle product discovery on behalf of consumers across platforms like ChatGPT, Google AI Mode, and Microsoft Copilot. As of April 2026, AI-referred traffic to US retailers has grown 393% year over year, and those visitors convert 42% better than non-AI shoppers (Adobe Analytics, Q1 2026). Major retailers including Ulta Beauty, Sephora, Starbucks, David’s Bridal, Carrefour, Walmart, Target, Nordstrom, Best Buy, and Wayfair have all launched AI-powered shopping experiences across ChatGPT, Google AI Mode, and Microsoft Copilot. Something shifted in the last 30 days and every major retailer is launching.The announcements are coming weekly now. Here’s the running list.
Ulta Beauty became the first major beauty retailer on Google’s AI shopping surfaces in April 2026 . Google AI Mode reaches 750 million monthly active users through the Gemini app alone. Shoppers can get product recommendations, compare options, and complete checkout directly inside Google’s AI surfaces. Ulta also launched Ulta AI, an AI shopping assistant on Ulta.com built on Gemini, trained on data from their 46 million loyalty members. Powered by Google’s Universal Commerce Protocol (UCP).
Starbucks launched a beta ChatGPT app on April 15, 2026, reaching ChatGPT’s 900 million weekly active users. Customers can type @Starbucks, describe their mood, and get personalized drink recommendations. Customize, pick a location and checkout on the Starbucks app. Starbucks SVP of Digital Paul Riedel: “Customers aren’t always starting with a menu. They’re starting with a feeling.”
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David’s Bridal went live on ChatGPT and Microsoft Copilot in April 2026 through Shopify’s Agentic Storefronts, which connect 5.6 million Shopify stores to AI shopping surfaces. Their “Aisle to Algorithm” program bridges AI discovery with in-store experience: a bride discovers a dress through ChatGPT, then walks into a store where the stylist already knows what she’s been looking for.
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Carrefour became the first major European retailer to launch shopping inside ChatGPT in early 2026, targeting France’s 26 million ChatGPT users. Customers can plan meals, filter by dietary needs, build a basket, and select delivery options, all inside the chat. The checkout is completed on Carrefour’s site.
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Sephora launched an app inside ChatGPT on March 24, 2026, piloting in the US with access to its 80 million active Beauty Insider members globally. Customers can ask beauty questions in natural conversation, get personalized product recommendations, and link their Beauty Insider loyalty account to unlock member benefits like free shipping and samples. The AI can even analyze a selfie for skin diagnosis. Discovery in ChatGPT, purchase on Sephora’s site, loyalty program intact.
What Do All These AI Shopping Launches Have in Common?
Every retailer on this list invested in making their product data work for AI agents. They’re all product discovery interfaces. For online merchants not directly partnering with AI companies, users are still looking for your products. The key is for your products to be discoverable. What determines which product gets recommended is structured product data. Material, specs, dimensions, use cases, compatibility, care instructions. The brands with rich, machine-readable attributes will be the ones that show up. Adobe’s Q1 2026 data confirms the stakes: AI-referred visitors generate 37% higher revenue per visit, spend 48% longer on site, and are 69% less likely to return what they buy. Only 18% of e-commerce product pages have complete schema markup (upGrowth, 2026). The other 82% are invisible to AI agents that are already sending higher-converting traffic to their competitors.
Check how AI agents see your products with a free readiness score at paz.ai.
As of April 2026, the major retailers that have launched live AI shopping experiences include Ulta Beauty (Google AI Mode), Starbucks (ChatGPT), David’s Bridal (ChatGPT and Microsoft Copilot via Shopify’s Agentic Storefronts), Carrefour (ChatGPT), and Sephora (ChatGPT). Additional retailers including Walmart, Target, Nordstrom, Best Buy, and Wayfair have also announced AI shopping initiatives across these platforms during the same period. The pace of launches has accelerated significantly, with new announcements arriving weekly as of Q1 2026.
Agentic commerce is a model of online shopping where AI agents handle product discovery on behalf of consumers across platforms like ChatGPT, Google AI Mode, and Microsoft Copilot. Instead of navigating a retailer’s website directly, a shopper describes what they want in natural language, the AI agent interprets the request, surfaces relevant products, and in some implementations, facilitates checkout. The shopper interacts with the AI interface; the purchase typically completes on the retailer’s own site or app, keeping the retailer’s loyalty and transaction data intact.
Shopify launched Agentic Storefronts, infrastructure that connects Shopify’s 5.6 million merchant stores to AI shopping surfaces including ChatGPT and Microsoft Copilot. David’s Bridal’s launch in April 2026 was the most prominent early example of a retailer using this infrastructure. For merchants without direct platform partnerships, product discoverability on AI surfaces is determined primarily by structured product data and schema completeness, not by formal integration agreements.
According to Adobe Analytics Q1 2026, AI-referred traffic to US retailers grew 393% year over year. Those visitors convert 42% better than non-AI shoppers, generate 37% higher revenue per visit, spend 48% longer on site, and are 69% less likely to return their purchases. This makes AI-referred traffic among the highest-quality traffic sources currently available to ecommerce merchants, outperforming most paid and organic channels on conversion and revenue per visit metrics.
The primary requirement for AI discoverability is complete, structured product data with full schema markup. This means product attributes including material, specs, dimensions, use cases, compatibility, care instructions, and size guidance must be machine-readable and formatted in a way AI agents can interpret. Only 18% of ecommerce product pages currently have complete schema markup, according to upGrowth’s 2026 analysis, which means the majority of merchants are invisible to AI agents already routing high-converting traffic to competitors. Merchants can assess their current AI readiness at paz.ai.
