AI Trace
Recommendation SystemVerified

Reviewed and published by trentmaziarz, May 11, 2026. Discovered and drafted by our automated research pipeline.

SoundCloud deployed an AI-driven autoplay and discovery feed that recommends music to listeners based on their listening history, genre preferences, and user activity. The system surfaces tracks in playlists, autoplay queues, and personalized feeds across the platform.

Details

SoundCloud's discovery page confirms the platform automatically analyzes, tags, and surfaces music using AI trained on audio characteristics rather than popularity signals alone. The system detects patterns, genres, moods, and fan preferences to match listeners with tracks they are likely to enjoy. In March 2023, SoundCloud also announced a TikTok-style vertical recommendation feed that serves 30-second clips based on listening history, built on Musiio technology. SoundCloud's autoplay algorithm connects fans with similar tastes based on user activity and listening history; this applies to all publicly available tracks.

Products affected

SoundCloud (all listeners)SoundCloud GoSoundCloud Go+

Sources & Evidence

Cite this record

Trace Foundation. (2026). SoundCloud: SoundCloud deployed an AI-driven autoplay and discovery feed that recommends music to listeners based on their listening history, genre preferences, and user activity. The system surfaces tracks in playlists, autoplay queues, and personalized feeds across the platform (data as of 2026-05-11) [Data set record]. AI Trace. https://www.aitrace.org/r/practice/12b4dae3-5b75-4c03-afe6-af2463b21249. Accessed October 4, 2026.

Stable link
https://www.aitrace.org/r/practice/12b4dae3-5b75-4c03-afe6-af2463b21249
Data as of
May 11, 2026
Last verified
Not recorded

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