Treat Your Product Feed Like a Storefront

Ecommerce is built around the website. Get people there, convert them there. Every SEO, paid ads, landing pages and checkout optimization, all exist to pull shoppers and make the transaction happen on your surface.

This is changing. The surfaces where people discover products, AI assistants, social feeds, ads, video, are becoming the surfaces where they buy. The transaction is moving toward the point of discovery, instead of being funneled back to your site.

AI assistants are already a real discovery channel. Hundreds of millions of people use ChatGPT, Perplexity, and Google's AI Mode to research and compare products. These platforms are building native checkout to turn discovery into transactions, powered by OpenAI's Agentic Commerce Protocol (ACP) and Google's Universal Commerce Protocol (UCP).

These systems aren't algorithms you can reverse-engineer with rules and keywords. They're probabilistic. They reason semantically over your product data. What gets recommended isn't determined by a ranking you can game. It's determined by whether the model can find, understand and trust your products.

Ads are getting native checkout too. Stripe and Meta recently launched one-tap purchasing inside Facebook ads, powered by ACP. A shopper sees an ad, buys within it, and never leaves the app.

PayPal launched Storefront Ads, where shoppers can browse and buy inside the ad itself. The ad is no longer a link to your store. It's becoming the store.

Product data determines whether you get surfaced, and whether you get chosen. It's how you stay in control when the transaction happens outside your website. Quality data means increased visibility and sales. Treat it like a storefront.

Most product data wasn't built for semantic reasoning. Keyword stuffing and marketing copy don't work with agents. They need data that answers questions, not just states facts, but contextual data and use cases, not specifications and selling points. Data that lets a system understand your product well enough to recommend it to the right person.