Enterprise knowledge fails quietly. Subject-matter experts often publish articles without realizing links break, accessibility standards fail, or titles weaken searchability until issues surface as failed searches or unresolved support requests. Article Optimization redesigns knowledge quality as a continuous workflow. Contextual recommendations appear directly in the editor, explaining both what requires attention and why it matters. The system distinguishes AI-generated guidance from rule-based detections, creating transparent and explainable interactions at enterprise scale.