It has become fairly standard practice for major streaming services to offer some kind of AI playlist generator, through which users can request prompt-relevant songs.
YouTube Music was testing a feature in select countries called “Ask Music”, which functioned much like a personalised radio station rather than a playlist.
Now they’re shifting gears, with YouTube Music and Premium users now having the option to create personalised playlists using the platform’s new AI Playlist feature.
Spotify, Amazon Music and Deezer have similar features — including Spotify and Apple Music’s integrations with ChatGPT that allow users to generate playlists using the service.
As discussed at Music Ally Connect in January, a growing number of AI-led discovery channels have implications for how to best optimise releases to increase chances of inclusion via conversational interfaces.
Think of AI discovery as Musical SEO. Just as you’d optimise a website for Google, you are now optimising an artist’s digital footprint for LLMs.
How to make the most of AI discovery updates?
Implement “vibe” metadata: Use descriptive language in profile bios, post captions, on-screen text, playlist titles and descriptions. Think of specific contexts and feelings to help AI models map your artist’s music to specific user prompts.
Prompt-engineer PR: Draft press releases that include keywords of the prompts users actually type. Try to paint a picture of how the music feels, and the places and scenarios it would be listened to. Align with creators that fit with the same undercurrents.
Focus ad strategy. Target artists in the same sonic world that are already performing well in AI-generated listening sessions to elevate the artist’s algorithmic positioning.
‘ The preceding article may include information circulated by third parties ’
‘ Some details of this article were extracted from the following source musically.com ’
