# AI is becoming a new sales channel. Here's how to make sure your products show up.

## Summary

AI agents are emerging as a new sales channel. If your product pages introduce ambiguity, they cannot act with certainty, and the safest option for them is to skip your products entirely. How can you stop that happening to your products?

- AI shopping agents fail in the same places customers fail: unclear options, hidden prices, missing confirmation of actions.
- Accessible product pages make product identity, options, and outcomes explicit for both customers and AI agents.
- Removing ambiguity from product pages is the simplest way to stay visible as AI-driven shopping matures
- Focus on certainty. Clear product identity, predictable interactions, reliable outcomes

AI agents are starting to compare products and complete purchases on customers’ behalf. This is already happening inside search engines, marketplaces, and shopping apps. But agents can only recommend products from stores they can reliably understand, which means unclear and inaccessible product pages are increasingly invisible by default.

I'm not particularly an "AI will fix everything" person - but if you follow any AI news it's becoming increasingly clear that the largest technology platforms are pushing hard to turn AI into a place where shopping happens right in their apps, not just where people go to research or 'chat'.

And so if you're responsible for growth, revenue, or digital performance across your online store, then 

## Amazon has already been testing this - and it shows the risk

Amazon's recent **“Buy For Me”** experiment is a useful early signal - and the reaction from independent merchants shows what can go horribly wrong when agents act without enough certainty.

A recent to report in the [Financial Times](https://archive.is/20260107052832/https://www.ft.com/content/724c2910-76f2-45d7-8f2e-0ac5c82a5ad2) explained how independent retailers discovered their products being listed and sold through Amazon's AI-driven experience without consent, sometimes with incorrect information or stock availability. _Modern Retail_ also reported that merchants were unhappy with how Amazon positioned itself between them and their customers, including the use of Amazon-controlled relay email addresses that interfered with customer data and communication.

You can make moral arguments about this, but there's also a practical one: if an agent can't reliably use your site, someone else will try to "standardise" the experience for you.

While it's not entirely clear what went wrong with some of these stores, when a platform cannot reliably understand or transact on a merchant's site, it has an incentive to **proxy the experience**, standardise it, and pull it into its own system.

That standardisation often strips out nuance, brand control, and direct customer relationships.

The mere existence of opt-out mechanisms tells us something important: **merchants are going to care, increasingly, about how AI agents interact with their stores - and on what terms**.

## Where AI shopping agents commonly fail on product pages

Here's the reassuring part if you already care about customer experience.

**AI agents fail in many of the same places humans fail.**

On product pages, the most common problem areas seem to be **product variants** that change visually but not programmatically, **stock messages** that aren't clearly exposed, **price changes** that only appear after interaction, **add-to-cart actions** with no clear success or failure signal, and **errors communicated** only through colour, animation, or layout.

Without a 

## Being easy to understand is how your store stays visible as AI shopping grows

AI shopping isn't a distant prediction anymore. It's the clear direction of travel.

The stores that win won't be the loudest or the most experimental. They'll be the easiest to understand - for people and for machines.

If your store works well for customers who browse without a mouse, use a keyboard, or rely on assistive technologies, it's also far more likely to work well for AI agents deciding what to recommend and what to skip.

That's not a compliance argument.  
It's a commercial one.

Early adopters get the head start. Start by making your product pages unambiguous, then keep iterating as the channel matures.