Skip to main content

Agentic commerce for consumer products

Competing on the algorithmic shelf

Autonomous buyers are on the rise: With 55% of consumers now starting their shopping journeys through large language models, AI agents are actively taking over purchasing decisions. These algorithms don’t browse aisles or get persuaded by traditional marketing; they analyze data and verifiable claims. Consumer products companies now have a unique opportunity to translate their brand equity into machine-readable proof, build trust, and claim their space on the algorithmic shelf.

Key takeaways

  • Because AI agents are increasingly taking on buying decisions, traditional marketing and brand awareness are no longer enough.
  • To maintain influence over demand, consumer products companies must shift from relying on persuasion and emotional resonance to providing verifiable proof points that agents can trust.
  • We’ve identified five strategic moves consumer products companies can take to adapt their data, become readable to machines, and remaining visible as algorithms take over purchasing journeys.

The risk of invisibility on the algorithmic shelf

Agentic commerce is changing how products are considered. If AI agents cannot reliably interpret, compare, or trust a product’s data, that product is quietly excluded from recommendations without any human rejection or warning signs in existing KPIs. Products are continuously ranked, substituted, or excluded in real time by algorithms.

Traditional defenses like brand awareness, scale, and trade investment still matter, but they no longer guarantee inclusion in agent decisions. If a brand can’t demonstrate a clear advantage on attributes that matter to agents, it will be treated as interchangeable. 

Five moves to prepare your brand for AI shoppers

The speed of change depends on your category, but setting the right foundation matters now. Here are five practical steps to make sure your brand is easy for AI agents to find, trust, and buy.

Create structured, machine-readable data for all SKUs. This allows agents to consistently discover, interpret, and select your products across every retailer and platform.

Identify high-potential use cases like replenishment, subscription, and B2B ordering. Targeted pilots help you test agent-enabled commerce while building the operating model required to scale.

Establish partnerships with hyperscalers and AI-native platforms. Co-developing vertical solutions positions your organization at the center of emerging agent workflows.

Upgrade your data pipelines and APIs. Real-time systems ensure that agents have authoritative access to product, pricing, and inventory information without friction.

Learn how these new buyers make decisions. By monitoring how agents interact with your brand, you can turn those insights into a real competitive advantage.

Adapting to an agentic world

As AI platforms shape the shopping journey, brands face losing their influence over demand allocation, pricing power, and awareness. Competitive advantage belongs to companies that make their products easy to trust, choose, and reorder at scale. By acting today, you can actively shape how these new systems view your portfolio rather than simply reacting to lost sales. Agentic commerce isn’t a distant trend to observe, it is an immediate test of your company’s strategic readiness.

Download the full report

Did you find this useful?

Thanks for your feedback