June 18, 2026·3 min read

What Is a Good AI Music Detection Score? (Suno & Udio)

You ran your Suno or Udio track through an AI music detector and got a score. Now what? Is 30% fine? Is 70% going to get you rejected?

Here's what the numbers actually mean.

What AI detection scores measure

AI music detectors analyze the spectral and structural characteristics of your audio and output a probability that the track was AI-generated. A score of 80% means the detector thinks there's an 80% chance the audio is AI-made.

The important thing to understand: these scores vary by detector. A track that scores 60% on one tool might score 35% on another. There is no universal threshold — each distributor uses their own detection system with their own cutoffs, and most of those systems are not public.

What scores are "safe" for distribution?

There's no official published cutoff, but based on community experience and our own testing:

Under 30% — Generally safe. Unlikely to trigger automated flags at the major distributors currently using detection.
30–60% — Grey zone. Usually passes, but more likely to get flagged as detectors improve or distributor policies tighten.
Over 60% — Higher risk. Some distribution systems and content ID tools will flag or reject tracks at this level.

The honest answer: even a 5% score doesn't guarantee you won't get flagged. Detection systems are evolving, and a track uploaded today may be re-scanned later against a newer model. The goal isn't to hit a magic number — it's to reduce the detectable fingerprint as much as reasonably possible.

What actually affects your score

Several things move the needle on AI detection scores:

Things that lower your score:

Mastering (especially EQ changes that alter the spectral balance)
Anti-AI processing (our Anti-AI pipeline targets the specific frequency signatures AI detectors look for)
Adding live recorded elements (real drums, vocals, a guitar part)
Pitch correction tools applied post-export

Things that don't reliably lower your score:

Simply converting to MP3 (some reduction, but detectors are trained on MP3 too)
Changing the filename or metadata
Adding reverb only (doesn't change the core spectral fingerprint enough)
Speeding up or slowing down slightly (pitch-shifting doesn't fool modern detectors)

How to check your score

You can scan your track for free in our mastering studio. Upload the file, run the AI detection check, and you'll get a score along with a breakdown of which frequency bands are contributing to it.

What Suno and Udio scores typically look like

Raw Suno exports (no mastering, no processing) typically score between 80–99% on most detectors. Raw Udio exports score similarly.

After standard mastering: typically 40–70%.

After mastering with our Anti-AI pipeline: typically 15–30%, depending on genre and how dense the original arrangement is.

Tracks with a lot of layered instrumentation tend to score lower because the AI fingerprint gets masked by the complexity. Simple, sparse arrangements are harder to clean.

Should you care about your score?

If you're distributing on DistroKid, TuneCore, or a similar mainstream distributor: yes, somewhat. Most distributors currently allow AI music with disclosure, but the distribution landscape is changing quickly and detection-based policies are becoming more common.

If you're uploading to YouTube only: less urgent. YouTube's ContentID looks for copyright matches, not AI detection.

If you're distributing to classical or sync licensing platforms: very important. These platforms have stricter content standards and often run their own detection.