My "Brown M&Ms Test" for Filtering Bad Podcast Pitches

My "Brown M&Ms Test" for Filtering Bad Podcast Pitches

Update: 2025-07-24
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Description

Remember Van Halen's famous "no brown M&Ms" rider clause? It wasn't because they were divas - it was a genius test to make sure venues actually read their contract. I've borrowed this concept to create my own screening system for podcast guest pitches.

With 4-8 pitches hitting my inbox daily (and most being AI-generated garbage), I needed a better way to separate serious guests from spray-and-pray agencies. In this episode, I share the exact screening question I use that instantly reveals whether someone actually researched my show or just copy-pasted a ChatGPT template.

I'll also share some real examples of terrible pitches I've received (spoiler: one agency sent me the SAME pitch twice for different shows), plus the simple criteria that save me hours each week in pitch evaluation.

What you'll learn:

  • Why Van Halen's M&Ms clause was brilliant (and life-saving)
  • My specific screening question that AI can't fake
  • Real examples of hilariously bad AI-generated pitches
  • The exact criteria I give to agencies to stop wasting my time
  • How this system helped me find amazing guests like Jackie Schiff and Elizabeth Howell

Read the full article

What's your "Brown M&Ms test"? Share it at streamlinedfeedback.com

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My "Brown M&Ms Test" for Filtering Bad Podcast Pitches

My "Brown M&Ms Test" for Filtering Bad Podcast Pitches