Most teams don't struggle to choose a knowledge base. They struggle to choose the right one for how they actually operate. The decision looks straightforward on the surface. You compare editors, check how the widget looks, skim the search experience, and confirm that articles are easy to publish. For smaller teams, that's often enough. The knowledge base is a publishing tool, and the main job is getting useful content in front of customers quickly. That assumption breaks down as support becomes more intertwined with the rest of the product. Articles need to stay in sync with APIs that change every few weeks. Support agents need live customer context alongside documentation. AI assistants need structured content they can reliably retrieve and reason over. Engineering teams want to plug the knowledge layer into workflows, not manage it as a separate system. At that point, a knowledge base is part of your support infrastructure. The problem is that most platforms aren't evaluated that way.…