14 AI Agents Screened 120,000 Influencers to Pick 30, Boosting CTR by 2.7%

A multi-agent AI system comprising 14 specialized agents was deployed in a real marketing campaign to automate influencer selection and ad execution end-to-end. The system scanned approximately 120,000 influencer profiles and narrowed them down to 30 using multi-dimensional scoring that factored in content style, audience alignment, conversion history, and pricing efficiency. Each selected influencer received a customized 60-point strategy brief tailored to their format and audience, rather than a generic campaign document. The automated pipeline replaced a traditionally fragmented manual workflow involving multiple platforms, spreadsheets, and personnel, delivering a reported 30% efficiency gain. The campaign ultimately achieved a 2.7% improvement in click-through rate, with no manual execution steps required between influencer discovery and ad settlement.