Right now, most independent artists are operating in a moment of uncertainty — especially those using AI-assisted tools like Suno.
At the moment, DistroKid does not actively gatekeep AI-assisted music. You can upload tracks, release albums, and distribute to streaming platforms without being blocked simply for using AI tools. That situation, however, feels temporary. Given the growing industry backlash against AI, it’s likely this will change in some form.
What has already changed is how fragile distribution has become.
One Flagged Track Can Take Down an Entire Album
Currently, if one streaming platform flags a single track on an album, DistroKid will remove the entire album from all platforms. This isn’t unique to DistroKid — all major distributors behave this way, and they did so even before AI entered the conversation.
The process is automated. There’s no human listening, no appeals process that happens in real time. A flag on one platform ripples outward and erases the release everywhere.
This matters more now because more platforms are experimenting with AI filtering, whether transparently or not.
Metadata Is Already Being Used Against You
Some platforms and services scan metadata, not audio.
For example, Suno-generated MP3 and WAV files often include the word “Suno” in the Comments metadata field. Any platform that reads tags can detect this instantly.
The fix is simple:
- Open the file in Audacity or another audio editor
- Remove or edit the Comments tag
- Re-export the file
This isn’t deception — it’s basic file hygiene. Metadata should reflect the artist, not the tool.
Audio-Based AI Detection Is Far Murkier
Some developers claim to detect AI music by analyzing audio artifacts. Benn Jordan has been particularly vocal about this approach.
I’m skeptical.
There are common artifacts in AI-generated audio — but they are:
- inconsistent
- model-dependent
- often indistinguishable from artifacts found in human-made recordings
Compression artifacts, phase issues, strange transients, and tonal smearing appear in plenty of non-AI music. Treating them as definitive proof of AI involvement feels more ideological than technical. In my opinion, this has crossed from analysis into anti-AI advocacy.
The Submithub Problem
Platforms like Submithub now offer AI detection checks. The bigger issue is that Submithub has effectively become a gatekeeper for indie press coverage.
Paying for reviews has always been a racket, and it always ends badly. AI detection just adds another toll booth.
This isn’t about quality control — it’s about control.
Cleaning Your Audio Is Still a Good Idea
Regardless of AI politics, cleaning your audio is good practice.
Some audio experts claim they can remove AI artifacts. I trust this more — not as “AI erasure,” but as standard audio refinement.
Simple, effective steps you can take in Audacity or similar tools:
- Remove DC offset (Suno’s isn’t terrible, but still)
- Widen the stereo field slightly
- EQ thoughtfully
- Normalize or master the track
Suno leaves about 3 dB of headroom, which is a clear signal that tracks are meant to be finished elsewhere. I would never upload a Suno track to a distributor without doing at least some post-processing.
The Vocal Sameness Problem
No amount of mastering fixes the biggest issue: AI vocals still have limited range and sameness.
Covering an uploaded track with a real singer can guide the AI vocal somewhat, but the similarity between voices remains noticeable — and in recent Suno versions, this sameness has arguably gotten worse.
That said, I suspect future versions will allow:
- deeper training on uploaded vocals
- more distinct voice shaping
- better timbral variation
Another option is recreating AI-generated tracks with real musicians — but that’s expensive and often defeats the purpose of using AI in the first place.
Where Suno Still Wins
Despite all of this, I think Suno itself is currently the best platform for engaging with people using your music.
Not distributors.
Not streaming platforms.
Not press submission sites.
Suno is where:
- listeners understand the context
- creators engage with each other
- experimentation is expected
In a hostile distribution climate, that matters.
The Reality We’re In
AI-assisted music isn’t going away. Gatekeeping will increase. Automation will punish edge cases. And indie artists will keep adapting, because that’s what we’ve always done.
The smartest move right now isn’t pretending AI doesn’t exist — it’s understanding how the systems work, cleaning your files, owning your process, and choosing platforms intentionally.
DIY has always been about control.
That hasn’t changed — only the tools have.
Leave a Reply