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social-yt-competitive

Business
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Analyze YouTube channels for outlier videos and packaging patterns. Identifies what's working (2x+ average views) across any set of channels. Use when asked for YouTube competitive analysis, viral video patterns, or packaging/title inspiration.

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YouTube Competitive Analysis

Outlier detection and packaging pattern extraction for YouTube channels.

When to Use

  • User asks for YouTube competitive analysis
  • User wants to find viral video patterns
  • User wants packaging/title inspiration from specific creators
  • User wants to track competitor YouTube performance

Prerequisites

  • YouTube Data API v3 key set as $YOUTUBE_API_KEY

Usage

# Analyze specific channels
python3 analyze.py "$YOUTUBE_API_KEY" --channels "@handle1,@handle2" --days 30

# Use predefined sets
python3 analyze.py "$YOUTUBE_API_KEY" --set ai
python3 analyze.py "$YOUTUBE_API_KEY" --set business
python3 analyze.py "$YOUTUBE_API_KEY" --set both

# Export formats
python3 analyze.py "$YOUTUBE_API_KEY" --set both --output json
python3 analyze.py "$YOUTUBE_API_KEY" --set both --output console

Predefined Channel Sets

AI Creators: Jeff Su, Alex Finn, Riley Brown, Dan Martell, Matt Wolfe, Nate Herk, Grace Leung, Matt Berman

Business Creators: Alex Hormozi, Gary Vaynerchuk, Patrick Bet-David, Codie Sanchez, Leila Hormozi, Iman Gadzhi, My First Million

Output Interpretation

  • Multiplier: Times above channel average (2.0x = double normal)
  • Outlier threshold: 2x average. Study anything above this.
  • Title patterns: Common words in outlier titles indicate proven formats
  • Cadence: Videos per week. Higher cadence creators may have lower per-video averages.

Packaging Skeletons (Proven Formats)

Long-form:

  • "X, Clearly Explained"
  • "X hours of Y in Z minutes"
  • "The Laziest Way to X"
  • "Give me X minutes and I'll Y"
  • "X INSANE Use Cases for Y"

Shorts:

  • "2024 vs 2025 X" (year comparison)
  • "Bad Good Great X" (tier ranking)
  • "Stop doing X, do Y instead" (contrarian)