AI REPUTATION AGENT

Overview A company’s digital reputation directly dictates its bottom line, yet monitoring public sentiment and responding to reviews across multiple platforms is a labor-intensive process. AI Reputation Manager resolves this challenge by establishing an enterprise-grade brand intelligence and sentiment workstation inside Claude Code. Operating completely from the command line with zero external API dependencies, this framework audits multi-platform brand health, benchmarks performance against industry rivals, handles customer service recovery workflows, and exports client-ready PDF dashboards in under 60 seconds. Key Features & Technical Architecture The architecture leverages a cohesive, automated delivery model comprising a central command orchestrator, 14 targeted functional sub-skills, and 5 parallel specialized AI agents. Parallel Sentiment Extraction: Executed via the primary /reputation command, the orchestrator simultaneously launches 5 agents—Review Aggregation, Sentiment Scoring, Competitor Benchmarking, Response Strategy, and Action Recommendations—to parse public directories (Google, Yelp, Trustpilot, BBB) and calculate a composite Reputation Score (0–100). Crisis & Recovery Frameworks: The tool contains dedicated sub-modules engineered to handle live operational hazards. It automatically writes empathetic review responses, constructs containment playbooks for active PR incidents/review-bombing, maps out local reputation SEO search overrides, and sets up continuous alert configurations. Automated PDF Asset Compiling: Integrating a custom Python script powered by ReportLab, the system packages all real-time analysis logs, emotional drivers charts, and chronological 30/90-day action matrices into crisp, publication-quality PDF reports.