For years, retailers have been fighting a slow erosion of brand loyalty. Inflation has changed the way consumers shop, customer service teams have struggled to keep pace with demand, and shoppers have become increasingly comfortable switching brands in the name of convenience or price. But in 2026, something far more transformative is happening that will redefine how loyalty is formed in the first place.
Across our work with retailers and brands, one trend points to a new era of commerce: generative search traffic to U.S. retail sites has surged more than 4,700%. For some, it feels like the death of consistent brand loyalty. For others, it’s the dawn of unprecedented discovery. As a self-proclaimed optimist, I choose the latter.
Imagine a shopper uploading a photo of a celebrity wearing dark boots and asking for something similar within their budget. The generative engine doesn’t just return a list of familiar brands; it surfaces a product from a retailer the shopper has never before seen. And just like that, a new favorite brand is born. The retailers who win in 2026 will be the ones who recognize that AI is not eroding brand loyalty, but merely providing new ways to capture it.
Generative and Agentic AI Become Core Retail Competencies
The retailers pulling ahead right now are the ones treating generative and agentic AI not as experiments, but as core capabilities. We’re watching teams build entirely new skill sets, such as Generative Engine Optimization (GEO) and Agentic Engine Optimization (AEO), to ensure their products are discoverable in AI-driven environments. Their digital properties, once a shopping channel, now strive to become trusted citable sources for answers these engines present to shoppers.
Retail loyalty is not disappearing, it is being redistributed as generative and agentic AI reshape discovery, decision-making, and the emotional connections that define how modern customers choose brands.
Just as brands once learned to optimize for search engines, they now must optimize for AI engines that interpret images, understand natural language, and make autonomous decisions about what to surface. Retailers who invest early in these capabilities are already seeing the benefits, ranging from higher visibility in generative search to more qualified traffic and a growing cohort of shoppers who discover them through AI-powered recommendations rather than traditional channels.
But the opportunity doesn’t stop at discovery. AI agents can help customers find, compare, research and purchase products, becoming a new interface for commerce. Retailers experimenting with these agents are seeing deeper engagement and more confident purchasing behavior. When an agent can instantly retrieve relevant, context-aware answers, the customer feels understood. That emotional experience is the foundation of modern loyalty.
Agent-to-Agent Interactions Redefine Customer Experience
One of the most important shifts we’re seeing in 2026 is the rise of agent-to-agent interactions. In this model, AI agents don’t just respond to customers, but rather collaborate with each other behind the scenes. They coordinate tasks, complete services, and resolve issues without requiring human initiation. The result is a customer experience that feels seamless and deeply personalized.
Today, most customers have to repeat their issue every time they log in, restart a chat, or get transferred between support reps. In an agent-to-agent world, that friction disappears. The system remembers context, understands intent, and continues the conversation without forcing the customer to start over.
This shift from interaction to outcome is already underway. We’re seeing AI agents autonomously handle complex workflows, configuring technical products, optimizing inventory distribution across channels, or preparing personalized recommendations based on real-time signals. Organizations that adopt this model aren’t just improving efficiency; they’re elevating the entire customer experience.
Customer Service Becomes Truly Helpful Again
Customer service is another area where generative and agentic AI are reshaping expectations. Field support agents can now access instant, context-specific guidance. Customer service representatives can retrieve more relevant answers faster and with greater accuracy. Instead of searching through knowledge bases or escalating issues, they’re empowered to deliver solutions in real time.
This doesn’t replace the human. It makes them more effective at problem-solving.
The best customer service interactions happen when a representative has the right information at the right moment. AI agents make that possible. The result is a service experience that feels more human, not less.
AI as a New Type of Customer
Here’s the most radical shift we’re preparing retailers for: AI itself is becoming a customer.
As shopping agents grow more capable, they will increasingly determine which retailers and products are surfaced. They will decide what gets added to a cart. They will influence which brands earn visibility and which fade into the background.
With this in mind, retailers must now optimize for two audiences simultaneously: human customers that require personalized experiences, and AI customers that need trusted, citable information along with structured product data.
It can’t be one or the other. The retailers who thrive will be the ones who understand how to serve both.
The Bottom Line
Retail is entering a new era, one defined not by the decline of loyalty, but by the redistribution of it. Generative and agentic AI are reshaping how customers discover brands, how organizations operate, and how loyalty is earned.
The retailers who win in 2026 will be the ones who experiment with AI early, often, and boldly, keeping both human and AI customers in mind. Those who do will create frictionless, intuitive, deeply personalized relationships that feel present, understanding, and effortless.
