How do you measure the ROI of AI reputation management?

ROI on AI reputation work, like ROI on any reputation program, is measured against the goals defined at the start of the engagement. The leading indicators come from AIQ™ directly: sentiment improving across engines, accuracy gaps closing as source-level work lands, source quality improving as the engines start citing higher-authority content, prominence rising on category-level peer-comparison prompts. The lagging indicators are business outcomes that AI mediates: recruiting funnel performance (especially for senior roles where candidates research employers via AI), deal pipeline conversion in markets where investors and counterparties do AI-based diligence, IR meeting requests and quality, customer acquisition cost in categories where buyers ask AI for recommendations. The connection between AI metrics and business metrics is empirically observable in well-monitored programs over six to twelve months. Beyond that, the program is producing protection rather than improvement, which is harder to value but no less real.