SportsPulse Media — AI Content Pipeline for Daily Sports Publishing
How FLYZEO built an AI content pipeline for SportsPulse Media that generates and publishes 40+ pieces of sports content per week across all platforms — with zero manual writing.
SportsPulse needed to publish match summaries, player news, highlight commentary and social clips across Instagram, TikTok, X and LinkedIn within minutes of events happening. Their 2-person content team was writing everything manually and couldn't keep up with the pace of live sports. They were publishing 3–4 pieces per day. Competitors were publishing 20+.
SOLUTION
FLYZEO built a fully automated AI content pipeline that monitors sports data feeds, generates platform-specific content and publishes across all channels automatically — from final whistle to published post in under 5 minutes.
Key automations delivered:
- Sports data feed monitoring: live scores, match events, player stats updated in real time
- AI generates match summaries in 3 length variants (short, medium, long) for different platforms
- Platform-specific formatting: Instagram caption, X thread, LinkedIn post, TikTok video script — all from one event
- Scheduled evergreen content: player profiles, historical statistics, upcoming fixture previews
- Automated image overlay generation with match result, score and team logos
- Cross-platform publishing to Instagram, TikTok, X and LinkedIn with optimal timing
- Engagement analytics pulled weekly and fed back into content generation to improve performance
TECH STACK: n8n, OpenAI GPT-4o, Sports Data API, Buffer (scheduling), Canva API (images), Meta Publishing API, TikTok API
TIMELINE: Deployed in 11 days
RESULTS
- Publishing velocity increased from 4 to 40+ pieces of content per week
- Content team of 2 now manages strategy and quality review only — zero manual writing
- Follower growth rate increased 4x across all platforms within 90 days
- Average time from match end to published content: under 5 minutes
- Engagement rate improved 3.2x as consistent publishing drove algorithm favourability