Agentic Commerce: Moving from search and filters to AI powered product discovery

If you don't have the 45 minutes to watch the recording here's the summary of our masterclass at E-Commerce Berlin Expo:

• The Problem: Traditional search and filters act like static "filing cabinets," forcing customers to do all the cognitive work to find products.

• The Opportunity: Traffic from generative AI sources has grown 1,200% since July 2024. Customers are choosing agents because discovery is finally effortless.

• The Result: Moving to an intent-driven, conversational interface can drive a 60% uplift in purchase probability.

• The Strategy: Brands must pivot from SEO to AEO (Answer Engine Optimization) and GEO (Generative Engine Optimization) to ensure AI agents recommend their products correctly.

The strategic shift from navigation to conversation

For decades, we’ve forced customers to to the heavy lifting. We gave them filters we sometimes even do not understand and a search bar that only understands technical attributes, not human intent. This "cognitive load" is the primary reason conversion rates have hit a ceiling.

In the agentic commerce era, the interface does the work. By using Large Language Models (LLMs) to interpret intent like "I need a bike for a 5-day mountain trip" the search process moves from a manual chore to a natural conversation.

Owning the "Agent Layer"

Most brands are currently "invisible" to AI agents like Amazon’s Rufus or in LLMs like ChatGPT. If your data isn't machine-readable, these agents will use generic logic to describe your brand. Or worse, recommend a competitor.

To stay in control, you need to own the agent layer on your own site. This isn't just a UX upgrade. It’s a battle for your brand’s sales logic.

SEO vs. AEO vs. GEO. A new hierarchy

To capture the 1,200% surge in AI traffic, your content needs to be optimized for three distinct engines:

1. Search Engine Optimization (SEO): Getting the click on a "blue link."
2. Answer Engine Optimization (AEO): Providing the definitive answer for AI agents to repeat.
3. Generative Engine Optimization (GEO): Influencing how LLMs synthesize and describe your brand's unique value.

Key Takeaway: In 2026, being "findable" is no longer enough. You must be "recommendable" by the agents your customers are already using.