Before you invest another pound in your storefront

Before you invest another pound in your storefront, ask a different question: can an AI choose your product quickly, reliably, and without error?

Microsoft quietly announced something last month that most people dismissed as a developer convenience: a command-line version of the Microsoft Store. No interface, no browsing, no visual hierarchy — just text. You can search, install, and manage applications entirely through instructions. On the surface, it's simply faster and cleaner. But it also reveals something more important.

The moment a store can be navigated through text, it becomes perfectly legible to a machine. Not just usable, but efficient. There is no ambiguity, no interpretation, no friction. An instruction goes in, an outcome comes out. AI has always been able to interact with software in theory. In practice, it has had to work around interfaces designed for humans — parsing layouts, interpreting buttons, approximating intent. A command-line interface removes all of that. It is, effectively, a store designed in a language AI understands natively.

That doesn't mean AI can't use traditional storefronts. It can. But it won't use them equally. Over time, it will favour environments where it can operate with speed, precision, and certainty. Not because it has a preference, but because those environments are easier to execute within. The difference is subtle, but the consequences are not.

Once selection is happening through systems rather than people, small differences in friction become decisive. A platform that can be queried, compared, and acted on instantly will outperform one that needs to be interpreted. Not through marketing, but through mechanics. This is how distribution begins to shift.

For the last two decades, storefronts have been built to attract and persuade humans. Design, branding, and positioning determined what got seen and what got chosen. The best-presented product often won. But an AI does not see any of that. It evaluates. And it will increasingly select from the environments that are easiest to evaluate.

That changes the question for every business. Not how visible your product is. Not how compelling your messaging is. But whether your product is structured in a way that an AI can understand, compare, and act on without hesitation. Most companies are not. Their information is fragmented, inconsistent, or buried inside interfaces that assume a human is doing the work. That was fine in an attention-driven world. It becomes a disadvantage when the decision-maker is a system optimising for speed and certainty.

Microsoft may have intended this as a developer tool. It may even remain one for some time. But it also points toward something larger: a gradual shift toward storefronts that are designed not to be browsed, but to be queried. Not to be experienced, but to be executed against. And in that world, the companies that win won't simply be the most visible. They'll be the ones that are easiest for AI to choose.