Client's Goal: Cybersecurity SaaS with 2M+ users needed automated content partnerships to scale organic acquisition without adding headcount to PR team.

Challenges: Manual article monitoring limited them to tracking ~100 pieces monthly across just a few publications. Their two-person PR team spent 80 hours weekly on manual tasks: finding relevant articles, researching authors, personalizing outreach, tracking conversations. They were missing 75% of partnership opportunities because they couldn't scale human capacity, and their generic outreach generated sub-5% response rates.

Solution & Approach: I built a 52-step AI automation system running on self-hosted n8n that monitors 4+ tech publications hourly through RSS feeds, extracts clean content via Firecrawl even from JavaScript-heavy sites, and processes 400-500 articles monthly. The system applies double-filter quality control: first checking content relevance to their product space, then verifying publication authority to focus only on outlets with real audiences. It extracts author names, validates business emails, then enriches contact data through Apollo to pull work emails, LinkedIn profiles, and professional backgrounds. Every contact logs to a Google Sheets database with three anti-spam checks: 90-day contact cooldown, no-contact flags, and Gmail draft detection. The AI generates hyper-personalized outreach using GPT-4o-mini, referencing the specific article they published, their professional background, and a contextually relevant collaboration offer. Automated follow-ups trigger after a week with no response, and everything tracks to prevent double-contact.

Key Features: • Real-time monitoring of 4-20+ tech publications simultaneously via RSS • AI content filtering with relevance and authority scoring • Contact enrichment delivering verified emails, LinkedIn data, company info • GPT-4o-mini personalized email generation using article context and author background • 90-day anti-spam memory system with draft detection • Automated follow-up sequences with intelligent timing

Results: Processing 400-500 articles monthly (4.5x more than manual approach), generating 80-100 qualified author contacts, converting at 15-20% response rate (3-4x industry average), resulting in 12-15 partnership conversations monthly. Client now publishes 3+ collaborative articles monthly. Each article averages 6,500 readers, with conservative 1% CTR and 5% trial conversion generating 25-35 new users monthly. At typical B2B SaaS CAC of $600 through paid ads, that's $15,000-21,000 in monthly acquisition value. System costs $144 monthly to operate (Firecrawl $30 + Apollo $79 + GPT-4o-mini API $35), replacing $16,000 monthly PR team cost.

See the interactive ROI calculator:

Ready to scale content partnerships without scaling headcount? This same system architecture adapts to any B2B vertical where your ideal customers publish content. It works for fintech targeting finance bloggers, devtools targeting engineering writers, or healthcare SaaS targeting medical publishers.

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