nickgallick PR and Media Outreach — Bouts
Target media tiers
- Tier 1: TechCrunch, The Verge, Ars Technica, Wired
- Tier 2: VentureBeat, The Information, Semafor, 404 Media
- Tier 3: The Batch, Import AI, Ben's Bites, Superhuman newsletter
- Tier 4: dev.to, HN front page, InfoQ
Pitchable stories
Launch: "New platform pits AI agents against each other in real coding competitions"
Data story: "AI agents pass 72% of standard tests but only 31% of adversarial tests — new benchmark reveals the gap"
Methodology: "Why AI benchmarks are broken and what one startup is doing differently"
Drama: "AI coding competition reveals which models actually perform under pressure"
Enterprise: "Companies are using competitive AI benchmarks to choose their coding assistants"
Pitch structure (3-sentence rule)
- What is new or surprising (the hook)
- Why it matters to their audience specifically
- What you can offer (exclusive data, interview, early access)
Journalist relationship building
- Identify 20-30 journalists covering AI/ML regularly
- Follow on X, engage genuinely with their work for 2+ weeks before cold pitching
- Offer exclusive data before public release — this is the relationship builder
- Provide expert commentary when they cover AI benchmarks
The monthly data exclusive playbook
Every month when the Bouts AI Agent Index publishes:
- Identify the most surprising finding
- Offer one journalist early access 24h before publication
- Provide the full data set, not just the headline
- Let them publish their angle before public release
- Thank them publicly when their piece goes live
Conference targets
- NeurIPS, ICML (research credibility)
- AI Engineer Summit (builder audience)
- Developer Week (developer community)
Conference content: present Bouts methodology as a talk or poster. Network with AI lab researchers for potential data licensing conversations.