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Weekly Round-up of AI in Marketing News – 16th Jan 26

Estimated reading time: 9 minutesThis week, major developments in AI marketing were announced, with Google and OpenAI leading the charge. The introduction of new protocols and tools signifies a critical shift in how retail and ecommerce brands leverage AI to enhance customer experiences and optimise sales channels.This blog post unpacks the implications of these changes for marketers, ecommerce brands, and digital agencies.

Table of Contents

This Week in AI Marketing: Google Launches Universal Commerce Protocol and Agentic Shopping Tools

This week marks a pivotal moment for AI-driven marketing and ecommerce, as Google unveiled the Universal Commerce Protocol (UCP)—a new open standard designed to power agentic commerce across platforms and retailers. Alongside this, Google introduced a suite of AI-powered tools and conversational commerce features, including Business Agent and Direct Offers, all aimed at reshaping how brands connect with shoppers in the era of AI agents. These developments, announced at the National Retail Federation 2026, signal a rapid acceleration toward agent-led shopping journeys, seamless checkout experiences, and deeper personalisation at scale. For marketing leaders and agency professionals, this is a wake-up call: the future of commerce will be defined by open AI standards, cross-platform integrations, and the ability to meet customers wherever and however they choose to shop.Below, we break down the key announcements and what they mean for marketers, ecommerce brands, and digital agencies navigating the next wave of AI transformation.

Google Unveils Universal Commerce Protocol (UCP) for Agentic Shopping

Google’s Universal Commerce Protocol (UCP) is a major leap forward in standardising how AI agents, retailers, and platforms interact across the entire shopping journey—from discovery and decision to checkout and post-purchase support. Developed in partnership with industry giants like Shopify, Etsy, Wayfair, Target, and Walmart, UCP is designed to be open, collaborative, and compatible with existing protocols such as Agent2Agent (A2A), Agent Payments Protocol (AP2), and Model Context Protocol (MCP). This means that instead of building bespoke integrations for every agent or channel, retailers and platforms can now “speak the same language,” enabling seamless agentic experiences across Google Search, Gemini, and partner platforms.For marketers and agency leaders, the implications are profound. UCP paves the way for brands to be discovered, engaged, and transacted with in any conversational or agentic environment—not just on their own sites or apps. This opens up new opportunities for omnichannel engagement, cross-platform attribution, and data-driven personalisation. UCP’s open-source nature also means that smaller retailers and technology partners can innovate on top of the protocol, levelling the playing field and accelerating the adoption of agentic commerce.Practically, this will enable features like instant checkout within Google AI Mode and Gemini, where shoppers can buy directly from eligible retailers using saved payment methods, all without leaving the conversation. For marketers, this means rethinking attribution, conversion tracking, and campaign optimisation in a world where the “point of sale” is no longer a website, but any AI-powered interface. Agencies will need to upskill in conversational UX, agent training, and API integrations to help clients remain competitive as the commerce landscape fragments across AI-driven surfaces.The strategic message is clear: open standards like UCP will define the next decade of digital commerce. Brands and agencies that move early to integrate with these protocols will be best placed to capture demand, optimise customer journeys, and future-proof their marketing operations.

Sundar Pichai Outlines Google’s AI Vision for Retail: Gemini Enterprise and Agentic Customer Experience

In his keynote at NRF 2026, Google CEO Sundar Pichai positioned the company as the driving force behind the “AI platform shift” in retail. He highlighted the explosive growth in AI usage among retailers—Google Cloud processed over 90 trillion tokens in December 2025, up 11x year-on-year—underscoring the urgency for brands to embrace AI at every touchpoint. Pichai introduced Gemini Enterprise for Customer Experience, a suite of tools designed to unify fragmented search, commerce, and customer service journeys into a seamless, AI-powered experience. This platform enables retailers to deploy agentic shopping assistants, support bots, and agentic search both online and in-store, with partners like The Home Depot and McDonald’s already piloting these solutions.For senior marketers and digital leaders, this signals a strategic shift: AI is no longer a bolt-on, but the connective tissue of the entire retail operation. Gemini Enterprise’s integration with UCP means that every customer interaction—whether it’s product discovery, personalised recommendations, or support—can be orchestrated by AI agents that have access to real-time data and context. This enables hyper-personalisation, proactive service, and the ability to drive loyalty and lifetime value at scale.For agency professionals, the rise of agentic CX platforms like Gemini Enterprise is both an opportunity and a challenge. Agencies will need to develop expertise in agent design, conversational analytics, and cross-channel orchestration. The focus will shift from campaign-centric thinking to journey-centric optimisation, where the goal is to guide customers seamlessly from awareness to purchase to advocacy—often without ever touching a traditional website or app.The expansion of Google’s Wing drone delivery service also highlights how AI is being used to solve last-mile logistics challenges, further blurring the lines between digital and physical retail. For brands, this means the customer experience must be designed end-to-end, with AI as the backbone for both online engagement and fulfilment.

OpenAI and Stripe Launch Agentic Commerce Protocol with Instant Checkout in ChatGPT

OpenAI has taken a significant step towards agentic commerce by launching Instant Checkout in ChatGPT, powered by the open-source Agentic Commerce Protocol (ACP) co-developed with Stripe. This feature allows U.S. users to purchase products from Etsy sellers directly within ChatGPT, with support for over a million Shopify merchants rolling out soon. The ACP is designed as an open standard for AI commerce, enabling AI agents, people, and businesses to collaborate on purchases across platforms and payment providers.For marketers and ecommerce leaders, this is a game-changer. ChatGPT is already a go-to destination for product discovery and research; now, it becomes a complete shopping channel, handling everything from product recommendations to secure checkout. The ACP ensures that merchants retain control over payments, fulfilment, and customer relationships, while AI agents handle the heavy lifting of matching products to intent, passing order details, and facilitating payment—all within a conversational flow.For agencies, the emergence of agentic commerce in ChatGPT means clients must optimise not just for search engines and marketplaces, but also for AI-native environments where discoverability depends on structured data, product feeds, and integration with open protocols. The ability to surface products in organic, unsponsored results—ranked by relevance, not ad spend—raises the bar for product data quality and content strategy. Agencies will need to advise clients on ACP adoption, conversational commerce optimisation, and how to leverage ChatGPT as a new conversion channel.Strategically, this move by OpenAI and Stripe signals the convergence of AI, payments, and ecommerce infrastructure. Brands that embrace agentic commerce protocols early will gain access to new audiences, streamlined customer journeys, and a competitive advantage as conversational shopping becomes mainstream.

Industry Reaction: TechCrunch on Google’s Agentic Commerce Protocol and the Future of AI Shopping

TechCrunch’s coverage of Google’s UCP launch highlights the industry-wide impact of agentic commerce protocols. The article notes that UCP, developed with major retailers and platforms, is designed to facilitate every stage of the shopping journey—from discovery to post-purchase support—by enabling AI agents to work across different systems and surfaces. The protocol’s compatibility with existing standards like AP2, A2A, and MCP ensures broad interoperability, allowing agents and businesses to choose the extensions that best fit their needs.For marketing leaders, this means the competitive landscape is shifting rapidly. As Google, OpenAI, Amazon, and others race to define the standards for AI-driven commerce, brands must prepare for a future where shopping journeys are orchestrated by AI agents, not just websites or apps. The ability to offer exclusive discounts, integrate branded AI agents in search, and optimise product data for conversational surfaces will become critical differentiators.TechCrunch also points out the growing ecosystem of startups and technology providers working to make products more discoverable in AI chatbots and agentic environments. This opens up new partnership opportunities for agencies, martech vendors, and brands looking to extend their reach beyond traditional search and social channels.For practitioners, the practical takeaway is clear: invest in structured data, API integrations, and open protocol adoption now. The brands that are most discoverable in agentic environments will win the next wave of customer acquisition and retention.

AI Marketers: What Google’s UCP and Agentic Tools Mean for Marketers

AI Marketers’ analysis of Google’s UCP and agentic commerce tools puts the spotlight on the marketing implications of these developments. The newsletter highlights how UCP, Business Agent, and Direct Offers are designed to help retailers and brands connect with high-intent shoppers at the moment of discovery, using AI-powered conversations and personalised incentives. The move to open standards is framed as a shift from closed, platform-centric ecosystems to a more collaborative, interoperable future—one where brands can reach customers across multiple AI-powered surfaces without being locked into a single provider.For CMOs and agency leaders, this is a call to action: marketing strategy must now account for agentic journeys that start, continue, and convert across a patchwork of AI agents, chatbots, and digital assistants. UCP’s compatibility with existing protocols means that integration is less about ripping and replacing, and more about layering new capabilities on top of existing commerce infrastructure. This reduces friction for adoption and accelerates time-to-value for brands willing to experiment.On the tactical front, the introduction of new data attributes in Merchant Center, the ability to deploy branded AI agents, and the launch of Direct Offers in Google Ads all point to a future where personalisation, relevance, and value are delivered in real time, at the precise moment of intent. Marketers will need to rethink how they structure product data, design conversational experiences, and measure performance in a world where the “customer journey” is increasingly non-linear and agent-driven.Agencies should view these developments as an opportunity to differentiate through technical expertise, strategic consulting, and the ability to orchestrate complex, multi-agent customer journeys. The winners will be those who can bridge the gap between marketing, technology, and commerce in an AI-first world.

Conclusion: Strategic Direction and Recommendations for Marketers in the Age of Agentic Commerce

The launch of Google’s Universal Commerce Protocol, OpenAI’s Agentic Commerce Protocol, and a raft of new agentic shopping tools marks the beginning of a new era for AI in marketing and ecommerce. The future will be defined by open standards, cross-platform integrations, and the rise of AI agents as the primary interface for discovery, decision, and purchase.For marketing professionals and agencies, the path forward is clear:
  • Prioritise open protocol adoption: Ensure your product data, feeds, and commerce infrastructure are compatible with UCP, ACP, and other emerging standards. This will future-proof your brand and unlock new channels for discovery and conversion.
  • Invest in conversational and agentic experiences: Develop branded AI agents, optimise for conversational commerce, and design customer journeys that can be orchestrated by AI across multiple platforms and touchpoints.
  • Upskill teams and partners: Build expertise in structured data, conversational UX, agent training, and cross-channel attribution. Agencies should position themselves as strategic partners who can bridge marketing, technology, and commerce in an increasingly AI-driven world.
The agentic commerce revolution is here. Marketers who move early, embrace open standards, and reimagine the customer journey for an AI-first world will be best placed to lead their organisations—and clients—into the next decade of digital growth.

Key Takeaways

  • The introduction of the Universal Commerce Protocol (UCP) represents a transformative shift for how brands can interact with consumers across multiple AI platforms.
  • Marketers must prioritise the integration of UCP and other open standards into their commerce strategies to remain competitive.
  • Agencies will require new skills in conversational UX and API integrations to navigate the evolving landscape effectively.
  • AI-driven tools such as Instant Checkout in ChatGPT redefine the traditional purchase process, requiring marketers to adapt their strategies accordingly.
  • The convergence of AI, payments, and ecommerce signifies the need for marketers to invest in structured data and conversational commerce optimisation.

Frequently Asked Questions

How will AI Mode affect my SEO strategy?

AI Mode will change how search results are generated, meaning marketers must adapt their SEO strategies to ensure high visibility in an AI-centric environment. Optimising for conversational queries and structured data will be crucial.

What changes should I make to my Google Ads campaigns?

With UCP and agentic tools, focus on creating contextually relevant ads that integrate seamlessly with AI agents. Campaigns may need to leverage real-time data for personalisation and relevance.

How do I optimise for AI Overviews?

Optimising for AI Overviews requires a focus on structured data and enhancing the relevance of product information to improve discoverability within AI interfaces.

What are the key benefits of adopting open protocols like UCP?

Adopting open protocols allows for interoperability across platforms, enabling brands to reach customers in a more integrated way, improving customer journeys and conversion rates.

How should my agency prepare for the rise of agentic commerce?

Agencies need to upskill in areas like conversational analytics and agent design while also developing strategic partnerships with technology providers to stay ahead in an AI-first market.

Conclusion

The recent announcements from Google and OpenAI mark a significant evolution in the landscape of ecommerce and marketing, necessitating a reevaluation of strategies across the board. The rise of agentic commerce offers both challenges and opportunities for brands and marketers alike. Need help adapting your search strategy for AI-driven search? Contact the Anicca team for expert guidance on SEO and PPC in the AI era.
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