Diving into 2026, the retail product discovery landscape is undergoing a seismic shift from traditional marketing channels, to chatbots that are essentially smarter search engines, and increasingly, to agentic commerce, where AI-powered agents act autonomously on behalf of consumers to find, compare, and make purchases.

This shift officially entered a new era with the launch of the Universal Commerce Protocol (UCP), an open standard for supplying data to AI agents and chatbots, co-developed by Google, Shopify, Walmart, and Target.

One-click purchases now feel like antiquated technology. We’re shifting to an age where ecommerce will require no clicks at all. Instead, consumers will define an outcome, such as “keep me stocked” or “find the best deal,” and an agent makes it happen.

The beginnings of this shift are already there: in Saleforce’s 2025’s Cyber Week shopping data, the company reported AI chatbots and agents drove $67 billion in global sales, and influenced 20% of all purchases. And with Google’s UCP, the coming “zero-click” reality will take shape where UCP-enabled agents allow consumers to research and checkout directly within AI Mode or the Gemini app, using credentials already saved in their Google Wallet.

In an agent-driven world, loyalty is no longer earned at checkout—it is earned inside the algorithm making the purchase decision.

In this new paradigm, loyalty is no longer earned with points at checkout, it will be earned in the algorithm. When autonomous agents decide what gets bought, brands must optimize on three new elements for success: Discoverability, Alignment, and Trust.

1. Be more discoverable: Machine-readable retail

In a retail era where machines talk to machines more than ever, a brand’s visibility will depend entirely on its product data attributes. AI assistants and agents are picky and will not waste time interpreting unstructured or messy product data. And with UCP, it’s expected that the number of product attributes available for merchants to provide will increase by as many as 60, expanding with fields such as “compatible accessories,” Q&As, substitutions, etc. These new fields will allow an AI agent to parse complex details that were previously buried in unstructured product descriptions.

To stay visible, retailers must ensure their product data is detailed, accurate, and agent readable. This requires meticulously structured data feeds that include real-time inventory, shipping speeds, sustainability signals, and other attributes likely to be valuable to shoppers and the agents that act for them. Utilizing Schema.org markup and the Model Context Protocol (MCP) is now a baseline requirement. And similar to what happened in the previous era of retailers providing detailed product catalog feeds to Google and/or Amazon, there are now vendors emerging who will optimize a retailer’s product feed for AI agents, which is especially helpful in light of the 60 additional attributes to manage.

2. Be aligned: Winning the agent’s preference through value

Once discoverable, a brand must prove it is the optimal choice for the agent’s human user. AI agents are programmed to act in the human’s best interest, narrowing down to the product best reflecting a combination of convenience and value – known as “alignment.”

Alignment also means integrating loyalty incentives directly into the agent’s decision-making logic. In 2026, successful retailers will use MCP servers to provide real-time information on incentives, including personalized discounts, loyalty points, or cashback offers, directly to the agent.

This is critical because 75% of the consumers we surveyed for our 2025 report, “The AI Shopping Shift,” stated they would trust AI tools more when they receive a bonus or cashback for buying a suggested product. Monetization of these interactions is likely to shift toward performance-based affiliate models, where platforms like OpenAI may take a commission for purchases made on its recommendations.

3. Be trusted: The infrastructure of agentic choice and service

Trust in 2026 will be built on both secure transaction execution and reliable post-purchase support. Salesforce also reported in their Cyber Week 2025 data that agentic customer service conversations grew 55% week-over-week, with agents hailed as “service heroes” by autonomously handling 70% of the more simple actions such as returns and address updates.

However, trust also requires recognizing human intent as dynamic and contextual. Consumers make shopping decisions based on moods, social cues, and personal preferences that shift on-the-fly. To maintain trust, agents must be collaborative partners rather than rigid executors and give consumers the authority to set boundaries and adjust behavior rather than making them manually approve every decision.

On the technical side, tokenization and secure protocols help maintain consumer trust. Developments like Mastercard’s Agent Pay, Visa’s Intelligent Commerce and the Agentic Commerce Protocol (co-developed by OpenAI and Stripe) allow agents to complete transactions using authenticated tokens while ensuring the retailer remains the merchant of record (MOR). UCP also promises to allow retailers to maintain control of business logic and to remain the MOR for purchases made through agents.

By adopting these secure systems, retailers can participate in the agentic future while maintaining control over fulfillment and customer data.

In 2026, the most adaptable companies will be those that realize loyalty is evolving beyond a purely transactional, points-driven program, to a dynamic relationship built on trust, consistency, and machine-readable value.