Reiser's Pieces: Agentic Commerce Is Shrinking the Shelf. Will Your Brand Make the Cut?

If your ecommerce plan still assumes the shopper will land on your product page, you’re betting on a path to purchase that’s getting shorter by the day.

Up until recently, digital commerce was predictable. Search, browse, product page, cart, checkout. If you controlled the shelf and the story, you had a fighting chance.

Welcome to agentic commerce, where AI doesn’t just recommend. It curates options, builds carts, and is starting to complete checkout. More consumers are beginning their shopping inside AI experiences that feel less like search and more like a conversation, and more of those conversations are ending in transactions.

Instead of using keywords, shoppers describe real situations in natural language:

“What’s a low sugar electrolyte for workouts?”

“What’s a detergent for sensitive skin?”

AI interprets the context, narrows options, and recommends a small set or single best answer. And in some cases, can execute the purchase without the shopper ever visiting a website.

This isn’t creeping in slowly.

AI adoption has reached roughly 800 million global users in just three years, outpacing the internet’s early curve.

At the same time, mobile commerce and AI engagement are no longer siloed: nearly two-thirds of purchases now occur on mobile devices, over one-third of adults report having used AI guidance while shopping, and trust in agent-led purchasing is high among consumers who engage.

Here’s why this matters for brands.

When AI surfaces fewer options, visibility stops being about winning a page and starts being about being understood in a structured, machine-readable way.

We humans tolerate messiness. A shopper might squint at an image, guess a size, shrug at a slightly wrong title, and still buy. Agents don’t. If availability is wrong, pricing is messy, attributes are incomplete, or item setup is stale, you don’t just lose conversion. You risk not being recommended at all. That’s the shift. This isn’t a lower rank problem. It’s a visibility problem. You’re competing to even make the cut.

And the pipes are getting built to make this mainstream. OpenAI and Stripe introduced the Agentic Commerce Protocol, and Google introduced the Universal Commerce Protocol, designed to connect agent driven discovery to cart, checkout, and post purchase workflows without forcing retailers to rebuild their stacks. Retailers are rolling out their own agentic experiences too. Amazon has Rufus inside the Amazon Shopping app. Walmart and Target have each partnered with OpenAI to enable shopping experiences inside ChatGPT. Different wrappers, same direction: The agent is becoming a real gatekeeper, influencing what makes it into the cart, and sometimes completing the purchase.

Here’s what it looks like when it works.

A clean beauty brand partner applied AI forward practices and saw a 101% sales increase on a hero bundle by upgrading imagery, refining backend data, rewriting copy, and updating content regularly. Not glamorous. Very effective.

When content is built to be interpreted cleanly and kept current, performance follows.

So where should you start, without boiling the ocean?

Pick a handful of SKUs and the missions they should win: Replenishment, routine personal care and wellness, meal planning and pantry building, seasonal needs. Then get ruthless about pack and variant logic, decision attributes, taxonomy mapping, item content syndication, and governance that keeps your brand source of truth aligned with retailer item setup.

Here’s the question I leave you with.

If a shopper describes the consumer need-state you should own, in plain language, will your product even be eligible to show up as the answer? Because in an agent-driven world, you’re either in the set, or you’re not in the conversation at all. Time to tighten up your item discoverability for agentic commerce.

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Jason Reiser is Chief Executive Officer, Market Performance Group