I got into AI music generation back in March when Suno v3 dropped.

Since then, Ive dabbled with many AI music generators and generated well over 1,000 AI songs.

you’re free to check out mySunoandUdiooverviews to get an idea of how AI music generation works.

Cyrberspace where a person is standing on the edge and music notes and gradiant colors surrounding them

Dibakar Ghosh / How-To Geek | Midjourney

1Visualize (or Audialize?)

the Song

The cool thing about AI music generation is the surprise me element.

The auto-generated lyrics can also be somewhat cliche and “meh.”

An AI image of a woman visualising a song in her mind.

Dibakar Ghosh / How-To Geek | Midjourney

To solve this problem, approach AI music with a goal.

Don’t let the music generator surprise you, but work for you instead.

You should have a clear idea in your head and thenuse the tool to manifest that idea.

A collage of different musicians generated by AI

Dibakar Ghosh / How-To Geek | Midjourney

Most importantly, you gotta specify the genre or music style of the song playing inside your head.

For instance, is the song similar in sound or style to any other popular song you have heard?

and then use that in your prompt in the AI music generator.

Suno Explore Feature Overview

You’ll get the best results if you have your own lyrics to feed the AI model.

It should have identifiable elements like verses or chorus.

You should also specify the instruments, vocalization techniques, sound effects, and much more.

Hand writing lyrics and music notes with a lot of AI generated artifacts

Dibakar Ghosh / How-To Geek | Midjourney

Popular AI music generation tools likeSunoandUdiocan pick on cues from well-structured lyrics and incorporate them into the finished track.

The tools don’t seem to register round brackets or curly brackets.

Instead, add instrument solos or riffs in places where they’d fit naturally in a normally produced song.

An AI-generated cloud of different meta tags

Dibakar Ghosh / How-To Geek | Midjourney

That way, you’ll find success more often.

This level of detail helps create a richer, more dynamic song that aligns with your vision.

you’ve got the option to also throw in some non-word vocalizations like “Ooh, wah-ah-ah-ah!”

A collection of different instruments

Dibakar Ghosh / How-To Geek | Midjourney

(bonus points if you know where that’s from!)

to infuse more substance into the tracks.

These are usually easily captured and incorporated by most AI music generators.

An AI image of three people trying different singing techniques

Dibakar Ghosh / How-To Geek | Midjourney

This usually happens with proper nouns like brand names, technical words, numbers, etc.

Don’t be afraid to mix contrasting genres, such as classical instrumentation with hip-hop lyrics.

take a stab at combine different vocal styles within the same song, and experiment with unconventional song structures.

An AI-generated image of a robot trying to pronounce hard words

Dibakar Ghosh / How-To Geek | Midjourney

Create a contrast between your lyrics and the musical style.

Try pairing serious lyrics with an upbeat melody or matching silly words with an intense musical backdrop.

This juxtaposition can create interesting and memorable songs.

An AI-generated yin and yang symbol of fire and ice in the clouds

Dibakar Ghosh / How-To Geek | Midjourney

I’ve found that using the same prompt across different platforms can yield fascinating results.

For example, try your prompt in both Suno and Udio.

Compare how each tool interprets your lyrics and genre specifications.

I’ve discovered that Udio excels in English songs but struggles to pronounce more uncommon languages with regional dialects.

By using multiple tools, you might leverage each of their strengths to create the perfect track.

Don’t be afraid to push the boundaries with your prompts and tags.

The more specific and creative you are, the more unique and exciting your AI-generated music will be.