Suno output quality depends entirely on input quality. Vague prompts produce generic music. Specific, well-structured prompts produce tracks that sound intentional and professional. The difference between a forgettable demo and a standout song is usually just a few words in the right places.
You're using broad genre terms without subgenre specificity. "Pop" gives Suno infinite directions; "dark synth-pop with 80s influence" gives it one.
Missing vocal style descriptors. Add "smooth", "powerful", "soft", or "raspy" to guide vocal performance. Also check for pronunciation issues with unusual words.
No structure tags in lyrics. Without [Verse], [Chorus], [Bridge], Suno guesses—and often guesses wrong.
Conflicting descriptors. "Upbeat melancholic" confuses the model. Pick a clear emotional direction.
rock song about love
90s alternative rock, bittersweet, jangly guitars, dynamic drums, vulnerable male vocals, raw production
electronic dance music
progressive house, euphoric build, layered synths, four-on-the-floor beat, ethereal vocal chops, festival-ready mix
Combine genre + era + mood + production: "70s soul, warm and intimate, live band feel, vintage analog warmth" creates a highly specific target.
Tell Suno what to avoid: "no electronic elements", "avoid autotune", "minimal reverb". Constraints sharpen focus.
Generate 4-6 versions. Keep the best elements from each. Use "extend" on promising sections. Suno rewards patience.
Generic prompts produce generic results. If you use broad terms like "pop song" or "rock music," Suno defaults to the most common patterns. Add specific subgenres, unique instrumentation, and distinct vocal styles to differentiate each track.
Add production quality descriptors: "polished radio-ready mix", "crisp modern production", "professionally mastered". Also specify instrument clarity and vocal treatment like "clear vocals with subtle reverb".
Newer versions may be more responsive to nuanced prompts and handle longer descriptions better. However, the core principles—genre, mood, instruments, vocals, production—remain the same across versions.
At least 4-6 per prompt. Suno has inherent variance, and later generations often capture what earlier ones missed. If nothing works after 6 tries, refine the prompt.
Yes. Tools like HookGenius generate optimized prompts with proper structure, targeted descriptors, and pronunciation fixes. They eliminate guesswork and produce more consistent results.
HookGenius builds optimized prompts automatically. Describe your idea; get Suno-ready output.
Generate with HookGenius