The explosion of AI-generated music has created a new, massive challenge: getting your songs heard. With thousands of tracks flooding streaming platforms daily, how can an artist using AI tools break through the noise and find an audience? This episode dives deep into the world of playlist pitching services, the modern-day gatekeepers of music discovery.

We explore the specific strategies required to successfully pitch AI-produced songs. We reveal how to overcome curator bias, what to look for in a pitching service, and how to use the power of AI itself to get your music onto the right playlists. We discuss a real-world case where an artist went from zero streams to thousands by changing their pitching approach, turning their AI collaboration into a compelling story that curators couldn't ignore.

In this episode, you will find out:

- Are playlist curators biased against AI-generated music, and how can you win them over?

- Which pitching services use their own AI to find the perfect playlists for your songs?

- How do you craft a compelling story for a track that was made by a machine?

- What are the critical red flags of a fake or bot-driven playlist service?

- Is it better to pitch directly to Spotify's editorial playlists or to independent curators?

- How should you describe your creative process when an AI was your co-writer?

- Can you actually use AI-powered tools to write the perfect pitch?

- What specific data points do AI-driven pitching platforms use to match your song to a playlist?

Follow my YouTube: https://www.youtube.com/@chenran818 or listen to my music on Apple music, Spotify or other platforms: https://ffm.bio/chenran818