The dream of growing on Spotify often meets the harsh reality of slow, expensive music production. For independent artists, staying relevant to the platform's algorithm feels like a losing battle. This episode of the AI Music Podcast unpacks a modern strategy to solve this exact problem, leveraging AI to create a consistent flow of new music. We go beyond theory and dive into a step-by-step playbook. Learn how a high-frequency release schedule can capture the attention of Spotify's algorithm, and discover the importance of precise metadata for landing on discoverability playlists. We also reveal how to integrate your AI-generated tracks with viral short-form video content on platforms like TikTok to create a powerful engine for audience growth. A case study in point: An indie artist was stuck, only able to release a new song every few months, causing their stream count to flatline. By adopting an AI-assisted workflow, they began releasing a new single every Friday. Within two months, Spotify's "Release Radar" was constantly working for them, tripling their monthly listeners and creating a real, engaged audience from a simple, catchy AI-generated hook that went viral. Key Takeaways: 1. How can releasing a new song every week trick the Spotify algorithm into promoting you? 2. What are the three key metadata tags that get your music onto editorial playlists? 3. Is it better to release one perfect song a year or 52 good songs? 4. How do you turn a 15-second AI clip into a track with over 100,000 streams? 5. What is the secret to getting your AI music onto influential user-curated playlists? 6. Can you build an authentic fanbase with music you didn't physically play? 7. What is the number one mistake artists make when uploading AI-generated tracks? 8. How do you find the perfect niche genre on Spotify to target with AI? Follow my YouTube: https://www.youtube.com/@chenran818 Listen to my music on Apple Music, Spotify or other platforms: https://ffm.bio/chenran818 Interested in how much money I made from AI music? Checkout this report: http://ranchen.org/music-earnings.html