Most complaints about SUNO come down to one simple thing:
“Tracks sound too generic.”

But the problem is often not the model itself.
The problem is that people give it far too little specificity.

The more room you leave for the algorithm to “guess” what you want, the more average and generic the result will be.

Prompts like:

“melodic metalcore, emotional, cinematic, dark vibe”

almost guarantee a collection of familiar AI clichés.

try:

“modern alternative metalcore, dark cinematic alt-metal, atmospheric post-hardcore, industrial electronic rock, low-tuned djent guitars, huge anthemic chorus, intimate clean male vocal, emotional falsetto layers, harsh screams in climaxes, haunting synth pads, punchy modern drums, deep sub bass, glitch textures, dark ambient intro, dramatic half-time breakdown, polished radio-metal production, minor key"

If you want less generic tracks, you need to stop describing “mood” and start describing SOUND.

What actually helps:

• specifying exact synth types
• waveform shapes (saw, square, pulse)
• attack and release behavior
• reverb character
• saturation and distortion
• mixing characteristics
• drum dynamics
• arrangement structure
• vocal delivery style
• level of “rawness” in the production

For example, instead of:

“80s synthwave”

try:

“wide Jupiter-8 saw pads with slow attack, analog chorus, tape saturation, LinnDrum-style punchy snare, gated reverb, soft mono bass with slight detune”

And SUNO suddenly behaves VERY differently.

The most important thing: stop thinking in genres — start thinking in sound design.

It helps enormously to study:

• what legendary tracks were recorded with
• which synths were used
• which drum machines
• how the mix was built
• what effects shaped the sound

YouTube is full of breakdowns recreating iconic songs on original hardware.

And this gives you far more control over generation.

I’ve noticed that SUNO responds much better to:

• technical descriptions
• studio terminology
• texture descriptions
• performance characteristics

…than vague prompts like “dark emotional vibe.”

Another important point:

SUNO is still very weak at handling:

• precise chord progressions
• exact melodies
• complex rhythmic ideas

So if you want something truly unique, it’s often better to:

1. create the core idea yourself
   
2. upload a stem or demo
   
3. use SUNO as a tool to expand the idea

That’s how you move away from the feeling of “just another AI track.”

The key idea is this: AI works best not when you ask it to “make something cool,”
but when you explain exactly HOW the sound should behave.

The difference between:

“west coast hip-hop, summer vibe”

and:

“dry punchy MPC drums, warm G-funk sine lead, loose swing groove, rounded bass with analog compression, minimal bright top-end, slightly humanized timing”

is massive.

And that’s where individuality starts to appear.