Ulta Beauty's Google Deal Proves Agentic Commerce Is Real: Here's How Discovery Changes

On April 22, 2026, at Google Cloud Next, Ulta Beauty announced a partnership with Google that does something most retail executives still think is years away: it moves product discovery, comparison, and checkout entirely inside AI conversations.

Through the integration, which rolls out over the next month, shoppers using Google AI Mode in Search and the Gemini app can ask Ulta-related questions, receive personalized product recommendations, compare options across price points and features, and complete purchases—all without ever visiting Ulta.com. Simultaneously, Ulta launched its own AI shopping assistant, Ulta AI, built with Gemini Enterprise for Customer Experience, to handle the same conversational commerce flows on Ulta's own channels.

This is not a pilot program. It is not a beta test. It is a live, scaling deployment of agentic commerce from a Fortune 500 retailer with $10 billion in annual revenue. The partnership matters because it proves that AI-driven shopping is moving from concept to production at retail scale. And it reveals something uncomfortable for brands that have optimized their entire digital strategy around website traffic: when AI agents handle product selection and checkout, the traditional journey collapses into a single conversational exchange. Brands not surfaced in the AI agent's recommendation set lose the sale entirely, with no click to recover from.

What the Ulta-Google Partnership Actually Does

The technical implementation of the partnership is straightforward, but the business implications are profound. Here is what is actually happening under the hood.

AI Mode and Gemini App Integration

Google AI Mode in Search and the Gemini app now have direct access to Ulta's product catalog, pricing data, inventory status, and customer preference profiles. When a user asks questions like "what are the best anti-aging serums for sensitive skin under $100" or "show me cruelty-free eyeshadow palettes," the AI agent can:

• Query Ulta's catalog in real time
• Filter products based on the user's criteria (price range, skin type, ethical preferences)
• Present a ranked list of recommendations with explanations for why each product matches
• Enable direct comparisons between products on key attributes
• Initiate checkout within the conversation interface using Google's Universal Commerce Protocol (UCP)

The user never leaves the AI interface. There is no "click to visit website" moment. The entire funnel—discovery, consideration, and transaction—happens inside the conversation.

Ulta AI: The Owned-Channel Counterpart

At the same time, Ulta launched Ulta AI, its own shopping assistant built on Gemini Enterprise for Customer Experience. Ulta AI lives on Ulta.com and in the Ulta mobile app, handling the same types of conversational queries that Google AI Mode handles, but with deeper integration into Ulta's loyalty program, purchase history, and personalization engine.

The two systems—Google AI Mode integration and Ulta AI—are complementary. Google AI Mode captures users who start their shopping journey in Search or Gemini. Ulta AI captures users who start directly with Ulta. Both use the same underlying product data and the same conversational AI technology, but they live in different discovery environments.

Powered by Universal Commerce Protocol

The checkout capability in Google AI Mode is powered by Google's Universal Commerce Protocol (UCP), which Searchless covered in detail on April 25. UCP is the open standard that allows AI agents to build shopping carts, process payments, and complete transactions across different retailers without requiring each retailer to build its own AI-specific checkout infrastructure.

For Ulta, UCP means it can participate in AI-driven shopping across multiple platforms—Google AI Mode, Gemini, potentially other AI surfaces—without building separate checkout integrations for each one. The product feed and pricing data flow through UCP, and the transaction rails handle the rest.

Why This Changes Brand Discovery

The Ulta-Google partnership is a case study in how brand discovery fundamentally changes in the agentic commerce era. The traditional discovery funnel—search, browse, compare, add to cart, checkout—collapses into a single AI-mediated interaction.

The Death of the Click-Through Recovery Path

In traditional e-commerce, brands have multiple recovery paths. If a customer sees your product in search results but clicks a competitor's link instead, you still have opportunities to capture that customer later: retargeting ads, email capture, social media engagement, and so on. The initial click is valuable, but it is not the only chance to make the sale.

In agentic commerce, there is no recovery path. When an AI agent recommends a product set and the user completes the purchase within the conversation, brands that were not in the initial recommendation set have no second chance. There is no "also viewed" section, no "you might also like" algorithm, no retargeting pixel. The AI agent makes a selection, the user accepts it, and the transaction is done.

This means the stakes of being in the AI recommendation set are much higher than the stakes of ranking well in traditional search. A #3 ranking in Google search still gets clicks. A #3 position in an AI recommendation set may get zero visibility if the agent only presents the top 2 options.

From Keywords to Intent Attributes

Traditional SEO is built on keywords. You optimize for "best anti-aging serum" or "cruelty-free eyeshadow palette." Agentic commerce optimization is built on intent attributes: skin type, price range, ethical preferences, brand loyalty, purchase history.

The AI agent does not match keywords to product pages. It matches user attributes to product attributes. If a user has sensitive skin and a $75 budget, the agent filters the catalog to products that meet those criteria. If your product matches the criteria but your catalog data is incomplete—missing the "sensitive skin" attribute or the price is incorrectly listed—you will not appear in the recommendation set, no matter how well you rank for keywords.

This shifts the optimization burden from on-page SEO to structured product data. The brands that win in agentic commerce are the ones with the cleanest, most complete, most attribute-rich product feeds.

The Rise of Platform-First Discovery

Google AI Mode and the Gemini app are now discovery platforms for Ulta, not just traffic sources. When a user asks a beauty-related question in Google AI Mode, Ulta products may appear as recommendations, but the user never visits Ulta.com. The transaction happens entirely within Google's interface.

This is platform-first discovery, and it mirrors the shift that happened in mobile app stores a decade ago. Brands used to focus on driving traffic to their mobile websites. Then they realized users were discovering products directly within the App Store and Google Play, and the entire growth strategy shifted to app store optimization.

The same shift is happening now with AI platforms. Brands need to optimize for Google AI Mode, Gemini, Perplexity, Claude, and other AI surfaces as primary discovery channels, not just as referral sources.

The Competitive Implications for Retail

The Ulta-Google partnership is not unique to Ulta. It is a template that will be replicated across retail categories. Every major retailer is having conversations with AI platform providers about similar integrations. The competitive landscape is about to change in three specific ways.

First-Mover Advantage in AI Discovery

Ulta is moving early. In the beauty category, which is highly competitive and driven by both product attributes and brand loyalty, being first to integrate with Google AI Mode gives Ulta a structural advantage. When users ask beauty-related questions in Google's AI surfaces, Ulta products will appear in recommendations, while competitors' products may not—until those competitors launch similar integrations.

This first-mover advantage is not just about market share. It is about data. Every interaction within Google AI Mode generates data about user preferences, product performance, and conversion patterns. Ulta will have access to this data through its partnership, while competitors will not, until they build their own AI platform relationships.

The Data Moat of Owned AI Assistants

Ulta AI, the owned-channel assistant built with Gemini Enterprise, creates a data moat that complements the Google AI Mode integration. When users shop with Ulta AI on Ulta.com or in the Ulta app, Ulta captures first-party data about preferences, purchase history, and conversational patterns. This data can be used to:

• Improve the recommendation algorithm in Ulta AI
• Feed back into the Google AI Mode integration to improve cross-platform performance
• Inform product development and inventory decisions
• Personalize marketing across all channels

Competitors without owned AI assistants will lack this first-party conversational data, putting them at a structural disadvantage in understanding and meeting customer needs.

The Compression of the Consideration Set

In traditional e-commerce, the consideration set for a purchase might include 10-20 products. Users browse multiple pages, compare options, read reviews, and gradually narrow their choices. Brands lower in the initial ranking still have opportunities to break into the consideration set through better reviews, more compelling product pages, or retargeting.

In agentic commerce, the consideration set is compressed. The AI agent typically presents 3-5 top recommendations. Brands that do not make it into that initial set are effectively excluded from the purchase decision, unless the user explicitly asks for more options.

This compression raises the competitive stakes. Product attributes, pricing, and inventory status become make-or-break factors. A brand with slightly better attribute data or slightly more competitive pricing wins the recommendation slot, even if a competitor has stronger brand equity in traditional channels.

What This Means for Your Brand Strategy

The Ulta-Google partnership is a signal of what is coming across retail and e-commerce. Even if you are not in the beauty category, the implications are relevant. Here is how to prepare.

Audit Your Product Data Structure

The foundation of agentic commerce visibility is structured product data. Audit your product catalog for:

• Completeness: Are all relevant attributes populated? (Size, color, material, price, inventory, ethical certifications, target audience, use cases)
• Consistency: Are attributes named consistently across products? (e.g., "sensitive skin" vs "skin type: sensitive")
• Accuracy: Is pricing and inventory data real-time and correct?
• Richness: Do you have descriptive attributes that help AI agents match products to user intent? (Not just "red lipstick" but "matte finish red lipstick for dry lips, long-wearing formula")

Incomplete or inconsistent product data is the single biggest barrier to AI visibility.

Implement Universal Commerce Protocol Readiness

UCP is becoming the standard for AI-driven commerce. Even if you are not ready to integrate with Google AI Mode today, prepare your product feed to be UCP-compliant:

• Standardized product identifiers (SKU, GTIN)
• Real-time pricing and inventory
• Structured product attributes in a machine-readable format
• Webhook support for order status updates and fulfillment notifications

Shopify's Agentic Commerce Readiness Scanner, which checks 31 criteria across AI discoverability, product schema, transaction readiness, trust signals, and operational maturity, is a useful tool for assessing your current state.

Build or Partner for Owned AI Assistants

The brands that will win in agentic commerce have two things: visibility in third-party AI platforms like Google AI Mode, and their own AI assistants for owned channels. If you have the resources, build an owned AI assistant using platforms like Gemini Enterprise, Claude Enterprise, or similar enterprise AI offerings. If you lack in-house AI expertise, partner with agencies or technology providers that specialize in conversational commerce.

The owned AI assistant serves three purposes:

• It captures first-party conversational data that third-party platforms do not share
• It gives you control over the customer experience on your own channels
• It provides a testing ground for optimization strategies that you can later apply to third-party integrations

Redefine Success Metrics

In the agentic commerce era, traditional e-commerce metrics are insufficient. You need new KPIs:

• Recommendation share: What percentage of AI-generated recommendations in your category include your products?
• Zero-click conversion rate: How many purchases complete without a website visit?
• Attribute match rate: How often do your products match the specific user attributes that AI agents query?
• Cross-platform presence: Are your products visible in Google AI Mode, Gemini, Perplexity, and other AI surfaces?

These metrics require new measurement infrastructure. Start building it now, before your competitors do.

The Strategic Takeaway

The Ulta-Google partnership is not a story about one retailer and one tech company. It is a story about the structural shift happening across retail and e-commerce. Agentic commerce is moving from concept to production.

For brands, the implications are clear. The traditional discovery journey—search, browse, click, buy—is being replaced by a single AI-mediated conversation. Brands that optimize for this new reality will thrive. Brands that cling to website-centric strategies will find themselves invisible to the next generation of shoppers.

The time to act is now. Audit your product data. Prepare for UCP. Build or partner for AI assistants. Redefine your success metrics. The brands that move first will build the data moats and customer relationships that define the winners in the agentic commerce era.

Run a free AI Visibility Audit to see if your brand is visible to AI shopping agents across Google, Gemini, Perplexity, and Claude.](https://audit.searchless.ai)

Sources

1. Ulta Beauty Press Release via PR Newswire, "Ulta Beauty Partners with Google to Launch AI-Powered Shopping Experiences," April 22, 2026

Read next:* If you want to prepare your brand for agentic commerce, the Searchless AI Visibility Audit evaluates your product data structure and recommendation share across AI platforms.