By replacing manual research and outreach with AI-driven targeting, personalization, and workflow automation, Nick and Noah turned XWeCan into a lean, high-throughput PR machine capable of landing headline coverage at global scale.

PR Outreach Systems
Media Research Systems
Coverage Tracking Systems

XWECAN

PR agency serving global tech firms, public figures, and politicians
Challenge

High-touch PR campaigns required large account teams and manual research; scaling to tens of thousands of hyper-personalized pitches daily was impractical.

Solution
  • Auto-generated pitch drafts from client onboarding summaries, emphasizing the angles most relevant to each media segment.
  • Research engine scraped recent, thematically similar articles, identifying journalists by beat and publication; records enriched with email, LinkedIn, X, Muck Rack, and past coverage links.
  • 100+ rotating sender identities allowed > 10 000 personalized emails/day with sequenced follow-ups.
  • GPT-powered icebreakers referenced each journalist’s latest work or social posts, producing human-sounding intros that routinely earned “best pitch I’ve seen” replies.
  • Automated media-hit tracking, Qwoted/HARO matching, and project-management
  • workflows cut admin to near-zero.
Impact
  • Placements secured in CNN, Forbes, WSJ, Fortune, BBC and dozens of tier-1 outlets.
  • Positive-reply rate ≈ 18 %—4-5× typical cold-PR benchmarks.
  • 80 % reduction in account-management headcount while delivering more wins per client.