How to Make AI Generated Music: Step-by-Step Guide

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The barrier to entry for making music has effectively collapsed. You no longer need to spend years mastering an instrument, memorizing music theory, or navigating expensive digital audio workstations (DAWs) just to bring a melody in your head into the real world.

Whether you want to score a background track for a YouTube video, prototype a song idea, or simply experiment with turning poetry into a fully produced anthem, AI music generation has made it remarkably accessible. Here is everything you need to know to go from zero to your first complete AI-generated song.


Step 1: Choose Your AI Music Platform

Before writing a single word, you need to pick the tool that matches your creative goals. Different platforms excel at different styles and workflows:

  • Suno: Widely considered the gold standard for full-song generation. It handles vocals, realistic instrumentation, and diverse genres (from hyper-pop to gritty blues) with impressive coherence. It’s the most intuitive tool for beginners.
  • Udio: Known for pristine audio fidelity and clean instrumental separation. It’s a favorite for electronic, ambient, and complex pop arrangements where mix clarity is paramount.
  • ElevenLabs Music: Ideal if your primary focus is safe commercial usage or integrating specialized, high-grade AI voices into background tracks for professional projects.
  • AIVA: Best suited for cinematic, orchestral, and classical compositions. If you need a sweeping film score or a dramatic piano arrangement, AIVA shines.

Step 2: Master the Art of the Prompt

The quality of your AI-generated track depends almost entirely on how well you communicate your vision. A vague prompt like “Make a sad song” will yield a generic result. A professional prompt provides clear architectural constraints.

Think of your prompt as having five key pillars:

  1. Genre & Era: Be specific. Instead of just “rock,” try “90s grunge rock” or “synthwave from the mid-80s”.
  2. Instrumentation: Mention primary instruments or textures—such as “distorted electric guitar, heavy 808 bass, and a driving drum machine”.
  3. Vocal Style: Specify gender, tone, and delivery. For example: “breathie female indie vocals” or “powerful male baritone.”
  4. Mood & Tempo: Define the emotional core and speed. Use terms like “melancholic, slow tempo, 75 BPM” or “high-energy, triumphant, fast-paced.”
  5. Song Structure Tags: Many advanced tools let you guide the arrangement using brackets.

Good vs. Bad Prompt Example:

  • Bad: “A cool pop song.” (The AI guesses everything, leading to generic output).
  • Good: “Indie pop, fingerpicked acoustic guitar with a warm analog synth, upbeat tempo, 115 BPM, bright and nostalgic female vocals, song about summer road trips, 2 minutes.”

Step 3: Directing the Lyrics and Structure

When creating songs with vocals, you generally have two paths: Simple Mode (letting the AI generate lyrics automatically based on a short description) or Custom Mode (inputting your own lyrics or writing them out line by line).

If you choose Custom Mode, you can use metatags to direct the AI’s arrangement in real time. Inserting tags in brackets helps control the flow of the song:

  • [Verse] / [Chorus] / [Bridge] / [Outro]
  • [Guitar Solo]
  • [Drop]
  • [Spoken Word Intro]

By structuring your lyrics with these markers, you prevent the AI from rushing straight into a chorus and give the track natural breathing room.


Step 4: Generate, Iterate, and Refine

Rarely does an AI music generator nail a masterpiece on the very first try. Treat the first generation as a rough draft:

  • Listen critically: Did the vocals clip? Did the genre veer off track halfway through?
  • Tweak and re-roll: Adjust your prompt. If the guitars are too loud, add descriptors like “lo-fi mix” or “balanced mastering.”
  • Extend segments: Many platforms feature an “extend” or “continue” feature. If you love the first 45 seconds of a track, you can lock it in and tell the AI to generate the next verse and chorus.

Ethics, Copyright, and Commercial Use

As you step into AI music creation, keep copyright and licensing in mind. Free tiers on most platforms are typically restricted to personal use. If you plan to monetize your tracks on Spotify, YouTube, or use them in client work, you will generally need a paid subscription tier that explicitly grants commercial rights. Always review the specific terms of service of the platform you choose to ensure your creative workflow stays compliant.

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