AI Mastering Results Across Five Genres: A Practical Guide

The mechanism here is simple. What people get wrong is the consequence.

This covers AI mastering results across five genres the way it actually works in a session: the mechanism, the numbers that matter, and the decisions that follow from them.

Nothing below is theory for its own sake. Every number here is one you can check on a meter, and every step is one you can run on the next track you open.

Key takeaways

Balance with faders before you reach for a plugin.
Cut to solve problems, boost to flatter, and know which you are doing.
Check in mono early and often.
Leave 3 to 6 dB of headroom for mastering.

Why genre changes the mastering decision

Mastering is not one process applied at different intensities. The target moves, the tonal balance moves, and the acceptable amount of dynamic reduction moves with the genre.

A classical recording mastered to a hip-hop target is destroyed. A trap beat mastered to a classical target sounds broken and thin next to anything else in a playlist.

Genre	Typical target	What matters most
Hip-Hop	-8 to -10 LUFS	The 808 owns everything below 100 Hz. Mastering protects tha...
EDM	-7 to -9 LUFS	Club systems are unforgiving below 40 Hz. High-pass the sub...
Pop	-9 to -10 LUFS	Dense arrangements, loud vocals, and a wall of production. C...
Rock	-9 to -11 LUFS	Guitars and cymbals fight in the same 3 kHz region. Restrain...
Jazz	-14 to -16 LUFS	Dynamic range is the music. Loudness is not a goal, it is a...
Classical	-16 to -18 LUFS	Fortissimo means nothing without a real pianissimo to measur...

Typical integrated loudness by genre.

How the engine handles style

MaestroNet does not apply one curve to everything. It analyses the source first: spectral balance, crest factor, stereo correlation, transient density, and where the energy actually sits.

Style selection then sets the targets rather than the processing. The chain is the same. What changes is the loudness target, the tonal reference curve, how much low end is protected, and how aggressively the limiter is allowed to work.

That distinction matters. A style preset that swaps in different EQ curves regardless of the source will fight a mix that is already correct.

Prepare the mix before you master it

Bounce at 24-bit, at the session sample rate. Never bounce to MP3 and master that.
Leave 3 to 6 dB of headroom. Peaks around -6 dBFS is a good working target.
Take the limiter off the mix bus. Leave gentle bus compression if it is part of the sound.
Check the mix in mono. If the low end vanishes, fix it now rather than in mastering.
Fix problems at the source. Mastering cannot un-mix a vocal that is buried.

A ten-minute version of this

If you have one evening and not one week, this is the order that gets the most improvement for the least time.

Two minutes: listen all the way through without touching anything, and write down the three things that bother you.
Two minutes: fix the loudest problem on the list, with the simplest tool that will do it.
Two minutes: check in mono and on a phone speaker. Fix anything that falls apart.
Two minutes: level-match against a reference and note the tonal difference, not the loudness difference.
Two minutes: make one broad corrective move based on that comparison, then stop.

Three specific problems solved beats twenty small adjustments that cancel out. The written list is what stops the session drifting.

Knowing when to stop

There is a point in every session where further work stops improving the record and starts merely changing it. Recognising that point is most of the skill.

You are undoing changes as often as you are making them.
You cannot articulate what the last move fixed.
The reference no longer sounds obviously better in any specific way.
You are adjusting things you would not notice as a listener.

Bounce it, sleep on it, and listen once in the morning on a system you did not use to make it. That single listen tells you more than another two hours ever will.

What MaestroNet does with this

MaestroNet analyses the source before it processes anything: spectral balance against a genre reference curve, crest factor, stereo correlation across frequency, transient density, and where the energy actually sits.

The targets move with the style. The chain does not. That matters, because a system that swaps in a different EQ curve regardless of what you sent will fight a mix that was already correct.

Loudness targeting to the platform standard, measured integrated across the whole track.
True peak limiting with oversampling, so the AAC encode stays clean.
Bass management below the crossover, keeping the low end mono and centred.
Tonal correction referenced to the selected style, applied in broad strokes rather than narrow ones.

What it will not do is decide that the second chorus should feel bigger than the first. That is an interpretive call, and it stays yours.

Frequently asked questions

What is the most important thing to get right with AI mastering results across five genres?

Tonal balance and translation. A track that holds up on a phone, in a car and on monitors is finished. One that only works on your monitors is not.

What loudness should I target?

-14 LUFS integrated with a -1 dBTP ceiling covers almost all streaming. Go quieter for acoustic and classical material, louder only where the genre genuinely demands it.

How much headroom should the mix have?

Three to six decibels, with no limiter on the mix bus. That gives the mastering stage something to work with.

How do I know when it is finished?

When it holds up level-matched against a commercial reference, translates on several systems, keeps its low end in mono, and your changes have stopped improving it.