AI Is Deciding What Your Customers See. Most Brands Haven’t Caught Up

Source Domain: www.forbes.com

AI technology power search engine button optimization. Digital data command prompt for article automatic generator illustration concept.

getty

The retail landscape is entering a period of structural change. According to recent research from Deloitte Insights, we are moving toward a world of “Agentic Commerce,” where intelligent AI agents research, compare, and purchase products on behalf of consumers. With analysts projecting that AI agents will account for 25% of global e-commerce sales by 2030, the traditional model of capturing consumer attention is breaking down. This isn’t just a new tool; it is a fundamental shift in how demand is created and fulfilled.

For years, we thought we had search figured out.

SEO became a playbook: keywords, backlinks, paid bidding. Entire performance marketing engines and hundreds of billions in revenue for platforms like Google and Meta were built on that foundation.

Now, the language has shifted: search engine optimization (SEO), answer engine optimization (AEO), generative engine optimization (GEO), and artificial intelligence SEO (AI SEO).

Most brands are left asking the same question: What actually matters now?

I’ll admit, even I had a moment of pause. When I first heard “AEO,” my immediate thought was American Eagle Outfitters. It wasn’t. So, I did what I always do when a shift feels seismic: I went straight to the source.

I called Neha Singh, the Founder & CEO of Stellar AEO Labs, and a former Google engineer, who is uniquely qualified to translate this new reality into plain terms. Her insights reframed the entire conversation.

From Agentic Vision to Current Reality

While the industry buzzes about the future, Singh points to a critical distinction between what is coming and what is already here:

“The biggest theme of Shoptalk 2026, the retail industry’s premier innovation event, is Agentic Commerce. But much of that vision depends on in-chat checkout and platform-level integrations that are still evolving. What is…

Source