A meaningful share of people researching a product today never see your website directly. They see an AI system's summary of it. If that summary is wrong, vague or missing entirely, it doesn't matter how good the actual page is.
Discovery no longer starts with a search results page
A growing share of product discovery now happens inside a conversation with an AI system, not a list of blue links. If that system can't understand what a product does, who it's for and why it's credible, it won't get mentioned, regardless of how good the product is.
That's a new kind of positioning problem: being clear enough for a machine to summarise accurately, without losing the nuance that makes the product convincing to a person.
Write to be understood, not just to be found
Structured, specific content (clear positioning, real expertise, consistent claims about what a product does) now serves two readers at once. The good news: the work that makes a site trustworthy to an AI system is largely the same work that makes it trustworthy to a person.
What this looks like in practice
Someone asks an AI assistant to recommend a tool for a specific problem. The assistant can only mention companies whose positioning it can confidently summarise: clear claims, consistent language, real specifics about who the product is for. A company with vague, marketing-speak copy simply doesn't get mentioned, not because it's worse, but because it's harder for the system to describe accurately.
In plain terms
AI assistants are increasingly the first place people ask “what should I use for this?” before they ever visit a website. For a product to get recommended, an AI system has to be able to understand and accurately repeat what it does, who it's for, and why it's credible. Writing clearly for a machine to summarise turns out to be close to the same thing as writing clearly for a person to trust.