Insights on AEO strategy, AI-powered search, and how brands stay visible when answers replace links.
92% of users don't verify AI outputs. Here's a framework for knowing when that's fine and when it'll burn you
Stop comparing AI research tools by features. I tested six approaches on the same project and compared what actually matters: source handling, synthesis quality, citations, and workflow fit.
A Reddit post about telling Claude you work at a hospital went viral. Turns out there's actual research explaining why this works across all LLMs.
Microsoft just told thousands of engineers to install Claude Code and compare it to Copilot. When you're running internal benchmarks against a competitor, you're not confident you're winning.
Enterprise AI has a 5% success rate. Consumer tools hit 40%. No wonder employees are going rogue.
Your knowledge is scattered across a dozen tools, and none of them talk to each other. The AI tools are supposed to help, but they forget everything the moment you close the tab.