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AI Music Gold Rush: How to Build a Stock Music Empire on Artlist and Pond5

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Manage episode 492816771 series 3670994
Content provided by Ran Chen. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Ran Chen or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
In this episode of the AI Music Podcast, we unlock the secrets to building a profitable, royalty-free music library using the power of artificial intelligence. Forget spending hundreds of hours composing and mixing individual songs. We reveal a modern workflow for creating a massive catalog for stock music platforms like Artlist and Pond5, focusing on strategy, efficiency, and discoverability. Imagine trying to create a single, high-quality corporate track. It could take a full day of writing, recording, and mixing. Now, imagine needing a hundred of them to build a competitive portfolio. We break down how AI turns this impossible task into a weekend project, allowing you to move from a struggling musician to a savvy music entrepreneur by shifting your focus from pure creation to smart curation and optimization. Key Takeaways: - What is the "recipe" method for generating dozens of stylistically consistent tracks in one session? - How can you use a simple spreadsheet to create "invisible" metadata that gets your music discovered? - What are the "use case" keywords that video editors are actually searching for? - Why is locking certain musical elements and regenerating others the key to efficient variation? - How do you write a track title and description that acts as a powerful SEO magnet? - Which AI music platforms offer the best control for batch generation? - How do you avoid the most common metadata mistakes that make your music impossible to find? - What's the optimal workflow for taking a track from AI generation to a final upload-ready file? Follow my YouTube: https://www.youtube.com/@chenran818 Listen to my music on Apple Music, Spotify or other platforms: https://ffm.bio/chenran818
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27 episodes

Artwork
iconShare
 
Manage episode 492816771 series 3670994
Content provided by Ran Chen. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Ran Chen or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
In this episode of the AI Music Podcast, we unlock the secrets to building a profitable, royalty-free music library using the power of artificial intelligence. Forget spending hundreds of hours composing and mixing individual songs. We reveal a modern workflow for creating a massive catalog for stock music platforms like Artlist and Pond5, focusing on strategy, efficiency, and discoverability. Imagine trying to create a single, high-quality corporate track. It could take a full day of writing, recording, and mixing. Now, imagine needing a hundred of them to build a competitive portfolio. We break down how AI turns this impossible task into a weekend project, allowing you to move from a struggling musician to a savvy music entrepreneur by shifting your focus from pure creation to smart curation and optimization. Key Takeaways: - What is the "recipe" method for generating dozens of stylistically consistent tracks in one session? - How can you use a simple spreadsheet to create "invisible" metadata that gets your music discovered? - What are the "use case" keywords that video editors are actually searching for? - Why is locking certain musical elements and regenerating others the key to efficient variation? - How do you write a track title and description that acts as a powerful SEO magnet? - Which AI music platforms offer the best control for batch generation? - How do you avoid the most common metadata mistakes that make your music impossible to find? - What's the optimal workflow for taking a track from AI generation to a final upload-ready file? Follow my YouTube: https://www.youtube.com/@chenran818 Listen to my music on Apple Music, Spotify or other platforms: https://ffm.bio/chenran818
  continue reading

27 episodes

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