Brands today spend 500+ hours of manual work running a single influencer campaign with 100 creators. Finding them, reaching out, negotiating, chasing content, reviewing it, tracking results. Existing tools are databases with dashboards. They surface data but leave all execution to humans. The lead-to-content-submission rate sits at just 3%.

Scoop replaces this with autonomous AI agents. A brand sets up a campaign brief, and our agents take it from there. The Discovery Agent finds and shortlists creators using context-aware matching and vision-based content analysis. The Negotiation Agent manages outreach, handles back-and-forth communications, and negotiates budgets and deliverables. The Content Review Agent runs compliance checks on submitted content with brand-brief alignment scoring and timestamped feedback. The Performance Agent tracks campaign metrics and builds brand-specific knowledge graphs.

These agents communicate through an event-driven orchestration layer with a shared context store. Every campaign compounds brand-specific intelligence, so the system gets sharper over time. Marketing teams stay in control of strategy and creative decisions while the agents handle execution.