AI disclosure metadata: what stores want and why

Two things are true at once: major streaming services accept AI-generated music, and they increasingly want to know that it is AI-generated when it arrives. AI disclosure metadata is how those two facts coexist — a structured flag that travels with your release from distributor to store.

What is AI disclosure metadata?

When a distributor delivers a release, it ships a metadata package alongside the audio: titles, credits, identifiers, rights declarations. AI disclosure adds provenance to that package — whether the recording was AI-generated, which parts (audio, vocals, artwork), and by what kind of tool.

It is the same principle as the explicit-content flag: a fact about the release, declared upfront, that lets each store apply its own policies without guessing.

Why do stores want it?

Stores are managing two pressures: a flood of AI-generated uploads, some of it spam or impersonation, and listeners and artists who want transparency about what they are hearing. Provenance metadata lets platforms tell good-faith AI releases apart from bad actors — which is exactly what a legitimate AI creator wants, because it means enforcement lands on impersonators and spam farms instead of on you.

Does disclosing hurt your release?

Disclosure does not block distribution — Spotify accepts AI music delivered through distributors, as do the other major stores. What creates risk is the opposite: representing AI-generated work as something it is not, then having a store discover the mismatch after a flag or complaint. Accurate metadata is the cheap insurance.

AIMD handles this automatically: provenance is scanned before you pay, and the disclosure fields DSPs expect are attached to every AI release. You do not fill in a form or make a judgment call at 2am.

Disclosure is one piece of the metadata package every release carries — the rest, from ISRC and UPC to credits and art, is covered in how to distribute Suno music.