The Complete Guide to Suno AI Prompts — What Actually Works
Suno AI is the most popular AI music generator right now — and the quality of your prompt directly determines the quality of your music. This guide covers everything that matters.
How Suno reads your prompt
Suno's model processes your prompt as natural language and extracts musical intent. It's looking for signals in several categories: genre/style, mood/energy, instrumentation, tempo, and production character. The more clearly you signal each of these, the better your output.
A vague prompt like "peaceful music" gives Suno minimal signal. A structured prompt like "meditative Indian classical, Sitar and Tabla, slow 65 BPM, Yaman raga, late evening, sparse arrangement, no vocals" gives Suno clear direction in every category.
The 5 elements of a good Suno prompt
1. Genre and style
Lead with the genre. Suno responds strongly to genre labels: lo-fi hip hop, Indian classical, cinematic orchestral, jazz fusion, ambient electronic. Be specific — "jazz" is weaker than "late night jazz, intimate piano trio".
2. Mood and energy
Add mood descriptors after genre: melancholic, uplifting, serene, haunting, triumphant, slow-burning, floating. 2-3 mood words work better than a long list.
3. Instrumentation
Name your instruments specifically. Suno handles a wide range — from Sitar, Tabla, Bansuri to Moog synthesizer, upright bass, fingerpicked acoustic guitar. Name 2-4 instruments maximum.
4. Tempo (BPM)
- 40-65 BPM — sleep, deep meditation
- 65-85 BPM — lo-fi, gentle study music
- 85-110 BPM — moderate, background music
- 110-140 BPM — upbeat, dance-adjacent
- 140+ BPM — high energy, electronic
5. Production character
Add 1-2 words: warm, crisp, spacious, reverberant, intimate, raw, tape-saturated. These affect the mix feel significantly.
Character limit: Suno's prose prompt accepts up to 350 characters. The style tag box has a separate 120 character limit.
Suno prompt examples that work
Indian classical meditation: "Indian classical, Sitar and Tabla, Yaman raga, late evening, slow 68 BPM, sparse and contemplative, reverberant, no vocals, meditative"
Lo-fi study music: "lo-fi hip hop, warm vinyl texture, slow jazz chord progressions, muted kick drum, fingerpicked guitar, 78 BPM, nostalgic, rain in the background"
Cinematic orchestral: "cinematic orchestral, rising strings, French horn, soft choir, emotional build, 90 BPM, major key triumph, film score quality, no vocals"
What Suno struggles with
- Too many instructions — a 10-item list produces worse results than 4-5 clear ones
- Contradictory signals — "heavy metal meditation music" confuses the model
- Abstract concepts — "music that feels like a rainy Tuesday" is too vague
Using RaagEngine to generate Suno prompts
RaagEngine generates optimised Suno prompts by asking you to pick your mood, instruments, BPM range, and music world — then assembles the prompt in the right structure automatically. It also generates your YouTube title, description, and tags alongside the prompt.