The assumption has been that producing something more detailed, more original, and more useful would naturally lead to stronger results, since that approach worked in a search ecosystem where discovery (and success) depended on rankings, clicks, and users actively choosing what to read. That ecosystem rewarded the most compelling, scannable, or comprehensive option on the page, which made craftsmanship feel like the primary lever for success. It is no longer the ecosystem we are working in, and continuing to apply that same logic without adjusting is exactly where many teams are starting to fall behind. We’ve seen this with the gamification of listicles already, and how large language models (and Google) are having to “patch” exploits as they’re found. AI has not reduced the importance of content, but it has shifted where value is created and how that value is realized, which now revolves around who gets surfaced, cited, and reused within systems that sit between users and the web.…