Article Optimization

Article Optimization is a knowledge quality system integrated into the article editing experience. It helps authors identify structural, accessibility, searchability, and content quality issues through contextual recommendation cards that explain each issue before changes are applied. The system supports both in-editor guidance and scheduled scans across knowledge bases, enabling continuous and transparent quality management at enterprise scale.