Google has introduced a brand new artificial intelligence (AI) agent that shops for you. No more scrolling through hundreds of products and trying to find keywords, you only need to provide your requirements, and Google will do the buying for you. Welcome to the era of agentic commerce.
Image: Google’s CEO, Sundar Pichai, sharing how Google is helping retailers grow in the AI platform shift at Today at the National Retail Federation (NRF) (Source)
Online shopping is entering a new phase as adoption of artificial intelligence (AI) continues to advance. Instead of browsing product pages and comparing tabs or getting influenced by product ads, more shoppers are relying on an AI-based assistant to guide their purchase decisions. These AI-powered shopping experiences are reshaping how consumers discover and evaluate products across digital channels before making purchase decisions.
Google’s recent announcements around agentic commerce confirm that this shift is accelerating. New tools like the Universal Commerce Protocol (UCP), Business Agent and Direct Offers point clearly toward the future of eCommerce with AI. This means traditional browsing will be replaced by an automated and conversational buying experience that is personalized for you. Let’s discuss this in more detail.
What Is Agentic Shopping, and Why Does it Matter?
Agentic shopping refers to the consumer-facing side of agentic commerce, where AI systems actively assist shoppers or act on their behalf. These systems analyze intent, evaluate options and surface relevant products or offers based on context.
Instead of manually comparing dozens of options, shoppers rely on AI shopping personalization to narrow choices. AI agents look for relevance to determine whether they are accurately matching user requirements. They use trust signals when deciding which products to recommend.
For updated retailers, this means understanding how AI agents find customers and match them with products.
As agentic shopping trends continue to grow, the path to purchase is set to become faster and more automated.
Universal Commerce Protocol (UCP): Making Your Store Readable to AI
Image: Universal Commerce Protocol (UCP) (Source)
The Universal Commerce Protocol is designed to help retailers, platforms and AI systems communicate using a shared framework. UCP enables smoother interactions across discovery, checkout and post-purchase experiences by making product and transaction data easier for machines to interpret.
Think of it like this:
Right now, every eCommerce store has its own website, product list, checkout process and payment gateway. No two (different seller) websites are connected to each other. So naturally, when you need to buy something, you may have to jump between websites until you find the right product. This makes the process less efficient. UCP acts as the missing link between all these websites.
So when you ask Gemini, “I’m looking for a modern, stylish rug, for a high traffic dining room. I host a lot of dinner parties, so I want something that is easy to clean.” The AI can see what’s available everywhere (that uses the UCP protocol), and it can complete the purchase on your behalf without ever having to leave the conversation.
Image: Buying directly from eligible retailers on Google AI (Source)
To make this possible, Google has co-developed UCP with some of the biggest names in retail, such as Shopify, Etsy, Wayfair, Target and Walmart. It is endorsed by more than 20 others across the ecosystem, like Adyen, American Express, Best Buy, Flipkart, Macy’s Inc., Mastercard, Stripe, The Home Depot, Visa and Zalando.
Image: Brands supporting UCP (Source)
This is what Google refers to as agentic commerce. The AI isn’t just researching for you and showing information; it is also taking action on your behalf.
In practical terms, UCP supports optimizing product data for AI agents so that inventory, pricing, availability and fulfillment details are consistent and accessible. This consistency plays a critical role in AI-powered shopping experiences, where incomplete or inaccurate data can remove a brand from consideration entirely.
The reason why it gets interesting is that this is not just huge for customers; it is a game-changer for retailers. They retain control even when customers make purchases through Google and are not handing over the business to Google; they are making themselves visible to AI agents and, in effect, customers.
Retailers that invest in eCommerce search engine optimization (SEO) and site optimization are already taking steps toward optimizing product data for AI agents. Structured product feeds, clear metadata and reliable inventory signals improve both human usability and machine understanding.
As agentic commerce strategies evolve, retailers with clean, well-organized product data will have a competitive advantage in AI-driven discovery environments.
Business Agent: Turning Conversations Into Conversions
Image: Business Agent is a conversational experience on Google Search that allows shoppers to chat with your brand. (Source)
Google’s Business Agent introduces a conversational layer between brands and shoppers. It allows customers to ask questions, compare options and get guidance without leaving the search experience. This creates more opportunities for AI shopping personalization during the consideration phase.
By delivering accurate answers and tailored guidance, Business Agent supports personalized AI recommendations that reflect a shopper’s needs, preferences and context. These interactions help reduce friction and shorten the path to purchase.
For retailers, this reinforces the importance of cohesive eCommerce marketing. Product descriptions, frequently asked questions (FAQs) and on-site content must all align so that conversational AI delivers consistent and helpful information.
As part of broader agentic commerce strategies, conversational tools like Business Agent allow brands to meet shoppers where decisions are being made.
Direct Offers: When PPC Meets AI Decision-Making
Direct Offers is a new ad format designed for Google’s AI Mode. It allows retailers to define incentives, such as discounts or promotions, that AI systems can surface at high-intent moments. Instead of relying on broad messaging, Direct Offers focuses on relevance and timing.
Image: User flow of Direct Offers pilot in AI Mode, labeled “Sponsored deal.” (Source)
In AI-powered shopping experiences, these incentives appear when shoppers are close to converting. AI evaluates context and intent to decide when an offer adds value, making paid media more efficient.
This shift changes how PPC campaigns are structured. Success depends on accurate feeds, consistent pricing and landing pages that support a seamless AI-driven checkout. When promotions and checkout experiences align, paid campaigns become a natural extension of the buying journey.
The Rise of Answer Engine Optimization (AEO)
As AI agents become intermediaries, traditional SEO is expanding into AEO. Instead of optimizing only for rankings, retailers must ensure their content provides clear, direct answers that AI systems can trust.
AEO focuses on structured information and consistency across platforms along with accuracy. This approach supports how AI agents find customers by making it easier for machines to match intent with relevant products.
Retailers that invest in AEO improve their chances of being selected, not just seen, in AI-led shopping environments.
Preparing for Seamless AI-Driven Checkout Experiences
One of the biggest advantages of agentic commerce is speed. AI systems can guide shoppers from discovery to purchase with minimal friction. To support this, retailers must deliver a seamless AI-driven checkout that integrates pricing, payment and fulfillment smoothly. This reduces abandonment and increases conversion rates by removing unnecessary steps. It also reinforces trust, which is essential for personalized AI recommendations to translate into completed purchases.
Retailers that prioritize checkout optimization today are better prepared for the future of eCommerce with AI, where automation and convenience define success.
What Agentic Commerce Means for eCommerce Brands Today
Image: Gemini enterprise for customer experience (Source)
The growth of agentic shopping trends does not replace core eCommerce fundamentals. Instead, it amplifies their importance. Data quality, clarity and trust are now evaluated by both humans and machines.
Retailers that succeed tend to understand how AI agents find customers, how recommendations are generated and how incentives influence decisions. They align SEO, PPC and eCommerce optimization efforts to support AI-led evaluation.
How Thrive Helps Retailers Stay Competitive in the Agentic Commerce Age
At Thrive Internet Marketing Agency, we help eCommerce brands adapt to emerging technologies without losing sight of proven fundamentals. Our approach supports AI-powered shopping experiences by aligning SEO, PPC and optimization under one strategic framework.
We help retailers prepare for agentic shopping trends, implement agentic commerce strategies and build infrastructure that supports optimizing product data for AI agents. From discovery to checkout, our services are designed to help brands stay visible, relevant and competitive.
As the future of eCommerce with AI continues to take shape, Thrive helps you stay ahead of change and reach more customers in an increasingly agent-driven marketplace. Get in touch with us today!
Frequently Asked Questions (FAQs) on Agentic Shopping
WHAT ARE AI AGENTS AND HOW DO THEY WORK IN ONLINE SHOPPING?
AI agents are intelligent systems that help shoppers find products, compare options and make purchase decisions. In eCommerce, they analyze intent and context to surface relevant products and guide shoppers through the buying process.
WHAT IS AGENTIC AI AND HOW IS IT DIFFERENT FROM TRADITIONAL AI AGENTS?
Agentic AI refers to systems that can independently plan and take actions to achieve a goal. Unlike traditional AI agents that respond to prompts, agentic AI can manage multi-step tasks such as researching products and completing purchases.
WHAT IS AGENTIC COMMERCE AND HOW DOES IT IMPACT ECOMMERCE BUSINESSES?
Agentic commerce is a model where AI systems actively influence shopping decisions. For eCommerce brands, this means success depends on structured data, relevance and seamless experiences that AI systems can evaluate and recommend.
HOW DO AI AGENTS FIND PRODUCTS AND RECOMMEND THEM TO SHOPPERS?
AI agents use signals like intent, product data, pricing, availability and reviews to identify relevant options. They prioritize accuracy and trust when generating recommendations for shoppers.
DOES GOOGLE FETCH PRODUCT INFORMATION FROM ALL WEBSITES OR ONLY PARTNER RETAILERS?
Google relies on structured data sources such as Merchant Center feeds and approved integrations. Retailers that align with these systems are more likely to appear in AI-powered shopping experiences.
WHAT IS THE UNIVERSAL COMMERCE PROTOCOL (UCP) AND WHY IS IT IMPORTANT FOR RETAILERS?
UCP is an open standard that helps AI systems understand product, pricing and checkout information. It improves visibility and consistency across AI-driven shopping and transaction experiences.
HOW DOES GOOGLE’S BUSINESS AGENT IMPROVE THE ONLINE SHOPPING EXPERIENCE?
Business Agent enables conversational interactions between shoppers and brands within search. It helps answer questions and guide decisions without requiring users to navigate multiple pages.
WHAT ARE DIRECT OFFERS AND HOW ARE THEY DIFFERENT FROM TRADITIONAL PPC ADS?
Direct Offers surface discounts or promotions at high-intent moments using AI. Unlike traditional PPC ads, they focus on relevance and timing rather than keyword-based impressions.
WHAT IS ANSWER ENGINE OPTIMIZATION (AEO) AND HOW IS IT RELATED TO AI-DRIVEN SEARCH?
Answer engine optimization focuses on structuring content so AI systems can easily surface clear, direct answers. It helps brands stay visible as AI agents increasingly mediate search and shopping.
HOW SHOULD ECOMMERCE BRANDS PREPARE FOR AN AGENTIC SHOPPING FUTURE TODAY?
Brands should improve product data quality, align SEO and PPC efforts and optimize checkout experiences. Preparing for agentic shopping means building experiences that work for both shoppers and AI systems.
