AI Music Licensing Scout
Inspiration:
Sync licensing for film, ads, and games is huge. Music supervisors drown in submission emails, while indie artists struggle to reach decision-makers.
Target Customers:
Two-sided marketplace:
- Buyers: Music supervisors at film/ad/game studios.
- Sellers: Indie musicians looking to monetise via sync.
Pain Points:
- Supervisors: Needle-in-haystack search for the perfect track; inbox overload.
- Artists: Nearly impossible to get music heard by the right supervisors.
Solution (Micro-SaaS):
An AI-driven licensing platform.
- For supervisors: Natural-language or reference-track search ("Upbeat indie-pop female vocal about friendship, BPM ~120, HAIM vibe").
- For artists: Upload catalogue; AI auto-tags each song on hundreds of dimensions: genre, mood, instruments, lyric themes, BPM, key, "sounds like", etc.
MVP Core Features:
- Artist portal: Simple bulk upload with metadata.
- Supervisor portal: Powerful search bar + multi-faceted filters + reference-track search.
- Auto-tag engine: Core tech generating tags & embeddings.
- Projects & playlists: Curate candidate tracks per production.
- Streamlined licensing: Pre-made licence tiers (YouTube, indie film, commercial spot).
Development Effort (Tech Implementation): High.
- Lyrics: Whisper-transcribe + GPT-4/Claude analyse themes/mood.
- Audio:
panns-inference
,librosa
for features;CLAP
embeddings for similarity search.
Traffic Acquisition & Validation (SEO Enhanced):
- Step 1 – Validation
- Curate a seed library of 1 000 indie tracks, auto-tag them, and demo to 5–10 supervisors; gauge wow-factor.
- Step 2 – SEO Growth
- Head terms: "AI music licensing", "sync licensing platform", "find music for film".
- Long-tails: "submit music for tv shows indie", "music supervisor search tool", etc.
- Site architecture: /for-creators, /for-artists, /blog.
Competitor Analysis: DISCO, Artlist, Epidemic Sound, Songtrader.
- Weak search, canned music = our wedge with semantic AI search + indie authenticity + transparency.