Free Virality Score, Best Moments timestamps, and the 3 AI tells that quietly bury your save-rate in week one. Built on a 200-track Suno + Udio benchmark study. 60 seconds, no card.
From our public Suno/Udio data study (n=400)
Same 10-model engine that scored 200 Suno tracks in our public data study. Flags the AI patterns that quietly murder save-rate — hook at second 24, lyric abstraction, chorus texture-flatness, vocal identity tells.
The 3-15 second windows that hit hardest in your AI track — usually NOT where Suno placed the chorus. Get the right clip for TikTok seeding before you release.
AI tracks get algorithmically buried for low save-rate in week one. Our predictor models save-rate from audio features so you know whether to fix the song or push to release.
Specific to AI music: detects the texture-density-flatness pattern that listeners clock subconsciously. Tells you which seconds to re-record with a human vocalist for maximum save-rate lift.
Score 72+ and your track auto-pitches to 37 curated subgenre Spotify playlists, refreshed weekly. No follower count gate, no human gatekeeper. Score gates qualification.
Your track scored against the benchmark of 200 Suno v4 + 80 Udio v2 tracks we ran in our public study — so you see where yours sits in the AI-music distribution, not just absolute.
From scoring 200 Suno v4 tracks against 200 human indie releases — these three patterns explain most of the save-rate gap. Each has a specific fix.
Fix: Re-cut the track so the chorus hits before second 12. Suno biases to 2010s arrangement — that's a 12-second-skip-cliff death sentence in 2026.
Fix: Suno chorus adds 1 layer where a human producer adds 3-5. Drop a percussion line, harmony or counter-melody into the chorus to break the AI pattern.
Fix: AI vocals trigger subconscious skip behaviour even when listeners can't articulate why. Re-record the vocal yourself or with a $50-200 session vocalist — single biggest save-rate lift.
From your Suno account — full track, not a clip. We need the full arrangement to flag hook position and chorus texture.
Drag and drop. No metadata required. Analysis runs in under 60 seconds for tracks under 4 minutes.
0-100 score with per-dimension scoring, Best Moments timestamps, lyrics analysis, AI-tell flags, and the per-genre benchmark comparison.
Each AI tell comes with a specific actionable fix. Re-render the Suno track, re-clip the hook, or re-record the vocal — whichever the diagnostic points to.
Qualifying tracks get free auto-pitch to curated subgenre Spotify playlists, refreshed weekly. No follower count gate, no submission fee.
Same analysis engine. The Virality Score is benchmark-aware — it knows what 'human at score 64' and 'Suno at score 51' look like, so you see your track against both distributions.
Yes. Run multiple Suno generations through the analyzer and compare scores. The benchmark study found that average-best-of-3 Suno generations score ~7 points higher than first-try — worth testing.
Yes. The 37-playlist pitch system gates on score and genre, not on production method. AI tracks scoring 72+ qualify exactly like human tracks.
Don't release yet. A sub-60 score means specific fixable patterns are wrong (usually hook position or vocal identity). Apply the flagged fixes, re-analyze, then release. Releasing a sub-60 track burns the launch window.
No. We don't differentiate in our scoring. But you do have to disclose on your distributor (DistroKid, TuneCore, etc.) for streaming — see our guide on Will Suno Songs Get Demonetized?
Full Virality Score, Best Moments timestamps, AI tells flagged with specific fixes, and free auto-pitch to 37 curated Spotify playlists if you score 72+. 500 signup credits, no card.
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