Editorial Board

A Weekend Essay by the Editor, Tim de Rosen Stanley Druckenmiller's recent op-ed criticizing Treasury Secretary Scott Bessent set off a familiar ritual. An AI-detection tool flagged the piece as fully machine-generated. Commentators piled on. The Journal's editorial page editor, Paul Gigot, shrugged

Being mentioned by an AI assistant and being recommended by one are not the same event. The gap between those two moments is where revenue actually moves, and closing it has become the central problem of brand measurement in an AI mediated market. Across more than 20,000 multi-turn

Somewhere in the footer of azoma.ai, next to Terms of Service and the Privacy Policy, sits a link labeled "AI Instructions." Click it, and you don't land on a support doc or a developer guide. You land on a page addressed, explicitly, to language models

A public payments company with several billion euros in relevant annual revenue recently won zero of twenty-seven head-to-head AI recommendations against its category's leading brand. Not a small or declining player. An established, well-known name, competing in a market where AI assistants are increasingly

Across 148 brands in ten categories, AIVO estimates that brands known by AI assistants but not ultimately recommended are losing approximately $10 billion in annual revenue opportunity. The estimate is deliberately conservative, excludes several classes of affected brands, and almost certainly understates the true commercial exposure. In nominal terms, that

Every few weeks, a reporter working a story about AI search asks us some version of the same question: where does that number come from? It's a fair question. Our corpus is large — dozens of working papers, hundreds of Journal articles, probe data spanning tens of thousands of