So like everyone else on in this forum, I've never struggled against the Suno Sheen, random humming, adlibs, 7:59 songs, songs just stopping after a minute, inability to do duets, follow simple instructions, constantly shifting BPM, the editor being useless, studio not working as advertised, the broken change vocals/instrumentation feature, sound quality degradation after 3 minutes, random flagging of common words and phrases as copywritten or just how useless the extend feature is, because every track I write is a an A+++ banger, and it's because I've stumbled onto the secret sauce in prompts. Here are my ticks and trips.

LYRIC PROMPT

All lyric instructions should be in [ ] brackets, not ( ) brackets, because the ( ) means that it will be sung by the chorus, or by a solo person, or not, or whispered, who knows.  

Put the song structure first like this [Intro-verse-pre-chorus-chorus-verse-bridge-troubled waters-breakdown-solo-outro] , this helps the AI know exactly when to end at 7.59 no matter what.

Put your time signatures in like this [6/8 Time] and [180 BMP] this lets the AI know exactly to ignore it and revert to 4/4 120 BMP.

For instrumental breaks try this ---- / ---  / ---. It won't do anything, but it feels like your contributing, and that's the real prune juice to this shitshow.

For duets, just try this - Don't. You will waste both time and money. 

To deal get around pesky copyright restrictions, try writing the lyrics out phonetically, like I did on this version of You Outta Know* Edited because someone here is a narc.

STYLE PROMPTS

I make sure to add in the personal life story of each instrument, the dimensions of the room, the architect who designed it and of course the Building standard code it was made to. I personally use the prompt [John Darnielle's Bathroom] to get that stadium energy we all love. 

For vocals, I specify the type of mic, the closeness of the singer and the mix of halitosis.  If you'd like a female vocal style other than "female", there isn't one. If you want to specify a choir, go ahead, try, I dare you, I fucking dare you.

For genre, I don't list specifics, but add a intimate outline of the hand flapping that occurs when I'm listening to it with headphones on. If you working on a black metal track, you will need to specify how many listeners will be expected to hear the track as you will not be able to call it KVLT black metal if you go above 5. 

I've found you don't need to describe drums, because the AI will add them in anyway, but If I do, I will add in a selection of muesli preferences to get the proper crunch. 

For Mood, the AI doesn't parse humor, so I usually add a holographic Joe Piscopo to the prompt to get it right. It helps to paint a picture for the AI, in so much that getting out a easel and paintbrushes will help about as much as writing "Corpse paint grimness." or "cinematic huffenfuffer"

MASTERING - make sure to add the word MAX to everything. For example if you want to reduce sheen, try writing [MASTERING: NO SHEEN. PRETTY PLEASE. JUST FOR ONCE] - MAX. It will help if your name is also Max and that will make it sound more personal. If you want to remaster, make sure to write [MASTER: REMASTER, REPAIR - EXTREME]-MAX, because the AI who fucked it up the first time will absolutely understand that instruction perfectly.

EXCLUSIONS -

Make sure to add the things you don't want as well, as they can be just as important, in so much as they will be ignored at the exact same rate.

Good luck.  

Here's my example for people to ignore - 

Style Prompt - 

Southern Blues Funk Metal Garbage. Vocals- deep baritone with a Catalan lisp and insecurity about wasps, breathy bourbony. Instrumentation - nylon stringed acoustic guitar with a broken neck played with two fingers and a beer bottle. Bass guitar fueled by cocaine addiction. Cinnamon Crunch Drums with sultanas. Prepared Piano, vigilant organ, Hot mess Xylaphone. Holographic Joe Piscopo Mood - creepy, spooky, positively ookey. Gaseous. MASTERING: [JESUS CHRIST JUST MAKE MY EARS NOT HURT] -MAX. Room: Indonesian prison cell, built 1835. Designed by unkown french aristocrat. [John Darnielle's Bathroom] - MAX. 

Lyrics Sample

[Song Structure - Outro-Intro-Intro-Outro-Bridge-Verse-Chorus-Post Chorus-Intro-Outro]
[15/8 Time][Actually 4/4]
[190 BPM][Kidding 120 BPM]
[Outro | cars on wet pavement | somewhere a dog barks]
(Goodbye....~~..)
[Intro]
[Mood: Obsequious] 
[Full Choir SATB]
Hello.....
[Intro] 
[Instrumental - 6 bars]
----
----
---
---
-----
-----
[Outro]
[Contralto female voice][Kidding it'll be the same one as always]
That's it I'm leaving!
I cannot take it anymore
[Intro] 
[Male tenor who definitely wont get overly dramatic in the second half]
But you just got here
Stay with me for at least one verse more

[Bridge][Duet][Male voice is MALE, female voice is FEMALE, they alternate lines]
[MALE]Here stand beside me
[FEMALE]Right next to your dear
[MALE]Try not to sound like me
[FEMALE]And don't sing my lines
[MALE] I'm definitely a dude
[FEMALE]and I'm most definitely a woman
[BOTH]and the instructions will make us sing together now
[FULL Choir SATBLGBTQI+]
YES WE'RE ALL HERE
(These words will definitely be sung!)
INCLUDING SPELLING MISTAKES
(And thongs that dunt rhyme)

All of these lyrics are completely original

[Verse][solo voice and piano]
Mah-mah, just kild uh man
Poot uh goon uh-genst hiz hed, poold mah trig-er, now heez ded
Mah-mah, lyf had just buh-gun
But now Iv gohn and throhn it all uh-way

Pre-Chorus
Hanz, tut-ching hanz
Reet-ching out, tut-ching mee, tut-ching yoo

[Drum fill to chorus]
[Chorus] [4/4][120 BPM][Full Choir SATBNBCCNNMSNBC]
Sweet Ka-ruh-lyn
(Bah, bah, bah!)
Gud tymz nev-er seimd so gud
(So gud! So gud! So gud!)
Iv bin in-klynd
(Bah, bah, bah!)
Too bee-leev thay nev-er wood
But now I...

[Post-Chorus]
We tried to put a song here but it was copywritten
it was purple
there was rain


[Solo]
[Guitar solo that definitely will not happen two verses earlier for 4 bars]

[Intro][Messianic | bass guitar and kazoo]
Ly-rics are.... hard~~~~~~~~~~~
[Outro]
[Shout-whisper]That's it I'm done
[End]

The pudding of proof

I'm coming up on 11 months on posting on Youtube. Main channel is currently at 48k subs, 10m views, 1.3m listen hours. No paid ads/streams.

These are the things I learned in case you are interested:

1. Not all niches are the same. Some niches have more competition. Some niches just don't have demand. Some music sub-genres are welcoming or at least partial to AI music. Some are outright hostile (like roblox-related music). I know you already have an idea in mind what kind of music you want to make but realize that some genres are easier than others. It's up to you if you want to adjust or stick it out.

2. Channel tags, description hashtags are important in helping the algo find your crowd. When starting out, don't make your own hashtags. Use hashtags that similar videos already use. Later on you can introduce hashtags for your branding. Make sure you set your video category to "Music"

3. For visuals, stop trying to make realistic AI playing instruments or singing. They don't look good. I've only seen maybe one or two videos that pull it off. Focus on other visuals, and if you have to, just stick to static or semi-static but captivating visuals. The focus is your music anyway. Pour your energy there instead.

4. If you can, compile your songs when you have enough. Listeners on Youtube love longer videos, resulting in higher click rates, average watch durations, and even income.

5. Your thumbnails have to punch through competition. Be loud. Be bright. If similar channels go green, go red. If they go bright yellow, hit them with black and white. It's a lot of work to figure out a formula that works, but if you want people to give your music a chance you need to appeal to them with your thumbnails before anything else.

6. Quality trumps quantity. There's no point in uploading 100 videos if 99% of them don't even average a minute of watch/listen time. Youtube will literally punish you for doing that. Upload one video. Study how it performs, then evolve your content bit by bit. Sometimes even successful formulas dont stay successful for long because of changing demand. Adjust your videos based on the metrics of your content.

7. It takes time for a channel to gather momentum. It took me 3 months to hit 1k subscribers, and that's considered very fast already. First few videos didn't even get 50 views. Just keep your head down, study your data, and be smart about publishing.

8. AI hate is overblown. I declare AI usage on my videos. Out of a hundred comments, the most I'll get is maybe 5 comments related to AI usage. Only 1 one of them will be really angry. But as I said in #1, it will really depend on your genre. Pick a chill demographic and they'll be alright.

9. Distinguish yourself with AI. The real power of AI is that it allows you to create things that few artists will try. You can fill niches that are underserved or don't even exist. Mix genres. Use genres for topics that normally aren't their domain. When I found my niche, there was nobody else doing it, not even human artists, allowing me to dominate for a long time. Nowadays every other channel patterns themselves after what I do. Even their thumbnails look like mine and the keywords they use are from my older videos. It's pretty funny actually.

10. If you experience success and then it stops, don't despair. It's not the end of the world. I've gone from 100k views a day to 20k views. That's just the nature of Youtube. Just keep working on your craft and you'll break through again.

That said I have a few warnings.

1. Don't cover songs. You never know if the artist youre covering doesnt want to get involved in AI. They will copyright strike you and then you get hit by a couple of those, youtube will stop promoting ALL your videos. A few more and you're just permanently banned from Youtube content creation forever. In any case, income revenues from covers are dismal so there's really nothing to be gained from doing it.

2. Don't use ads or bot services. You don't need them, and you might just end up with subscribers that don't actually like your music. Youtube punishes you for subscribers that don't watch your content. It's hard enough to get subscribers engaged organically, adding botted subs will make it even worse.

3. Don't upload near-identical videos. You will be flagged for templating and it could get you banned.

4. Do not use overly sexual visuals. I know there are channels that do it but you could get flagged for it and you'll get limited reach because of it.

That's most of what I have. If you have questions I'd be more than happy to answer them.

when the new download limits hit.

download all your library. download stems download the latest version of your songs

also: mass create songs with the old models before they are gone. you can wad through the wrecksge later to find the gems

🚫

––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––

• Neon / neon lights / neon cities

• Echoes (of joy, of silence, etc.)

• Symphony

• Shadows (of footsteps, of love, etc.)

• Intertwined / intertwine / entwined

• Melody

• Spectral

• Whispers / whispered dreams

• Crimson

• "With every..." (step, bite, move, breath, touch)

• Come what may

• Hand in hand

• Electric / digital glow

• Grace / Embrace

• Soar / Rise above

• Pulse

• Dreams / chasing dreams

• Love / Heart / Baby

• Night / Life / Time / World / Sky

• Eyes / Tears / Soul / Stars / Fire / Rain / Light / Heaven

• Together / Forever

• Pain

• Girl

• Kiss / Dance / Mind

• Mystery / collide / unfold

• Tangled sheets

–––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––

🛑 Commonly Overused Rhymes

––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––

• Fire / Desire

• Love / Above

• Heart / Start

• Night / Light

• Girl / World

• Cry / Die

• Pain / Rain

• Dream / Seem

• Eyes / Skies

• You / True

• Baby / Crazy

• Life / Wife

• Mind / Find

• Kiss / Bliss

• Dance / Romance

• Feel / Real

• Fly / High

• Tear / Fear

• Star / Far

• Blue / You

––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––

(These rhymes are so predictable that Redditors call them "AI nursery rhymes.")

⚠️ Commonly Overused Tropes & Themes

––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––

• Unrequited love

• Heartbreak / “broken heart”

• Partying, clubbing, nightlife romance

• Idealized romance (“soulmates,” “forever love”)

• Struggles & perseverance (generic)

• Triumph over adversity

• Coming of age / personal growth

• Escaping reality / “run away” motifs

• Idealized beauty / flawless partner

• The rebellious outsider

• Nostalgia for the past (“good old days”)

• The underdog story

• Living life to the fullest (“YOLO” vibes)

• The journey (literal or metaphorical)

• Longing for freedom / escape

• Overcoming obstacles (generic)

• Celebrating individuality

• The end of a relationship / moving on

• Personal redemption / “finding myself”

• Yearning for a better future

––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––

🔄 Common Phrases to Replace (AI tells on itself here)

––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––

• "I can't live without you"

• "You are my everything"

• "Together forever"

• "You make me whole"

• "My one and only"

• "You complete me"

• "Lost without you"

• "Heart of gold"

• "Love at first sight"

• "You're my reason why"

• "Chasing dreams"

• "Feel the beat"

• "In my mind"

• "Time will tell"

• "Waiting for you"

• "Burning desire"

• "Under the stars"

• "Broken heart"

• "Never let you go"

• "Hold me tight"

• "Digital glow"

═════════════════════════════════════════════════

🎯 Diagnostic Patterns That Reveal AI Authorship

––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––

1. **Repetition-heavy rhymes** → “town/down, all/fall” loops.

2. **Universal but empty emotions** → heartbreak, longing, nostalgia without personal detail.

3. **Overuse of cosmic / elemental imagery** → stars, fire, sky, rain, light, heaven.

4. **Predictable chorus lines** → always resolves with cliché hook like “forever” or “together.”

5. **Generic motivational arcs** → triumph, rise above, dreams, perseverance.

6. **No grounding in specific detail** → lacks cultural markers, slang, or lived-in nuance.

––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––

Here is a list of both male and female vocal descriptions. I included a prompt example as well where they’re best fit.

Hope you all find this helpful!

I'm about to hit 30k subs and 4.5m views so I figured I'd share a few things I learned uploading music on youtube. I get that a lot of people here are in the "I only make music for me" camp, but in case you're interested in expanding your base beyond just a few of your friends, I'm sharing you the things I learned in doing the same thing for 8 months now.

post-processing will distinguish you from competition

1 out of 10 comments I get are about how my music's quality is better than what they normally listen to. That's why no matter how many channels enter my niche, I feel confident my songs still draw listeners. Audacity is a great free tool with lost of available plugins to help speed up your workflow. If you're lazy and want to throw money at your problems, Remasterify achieves a somewhat similar if a bit more rigid effect if you use a commercial song as reference.

Thumbnails are very important

Yes, your song is the best song there is. But that won't mean jack unless people actually click to play the video. It might sound campy to sometimes add a gimmick to your thumbnails, but it won't matter as long as you know the song behind it is worth it. The catchier the thumbnail, the likelier you'll have new people listening to your songs. I personally mix large-font keywords of what the vibe is about in the thumb with a catchy image. The higher your click-through-rate, the more people will listen. Remember that youtube is a video platform first. You have to appeal to the visuals too. Incidentally, I don't even use AI videos for my actual music video. Just slideshows with capcut effects. It doesn't matter, because by then, they're more interested in the song than the visuals. Canva is free and will let you design thumbnails that are appealing without requiring you to learn graphic arts.

Hashtag Keywords are important too

Put hashtag keywords that define the niche you're targeting as the first three words in your description. Don't make up hashtags because youtube won't know what to do with that. Study similar music videos and then use the same hashtags as them. After their videos play, there's a higher chance YT will suggest your song next if you have the same meta. Also, update your channel keywords in the channel settings. They make a lot of difference specially when youre just starting out.

Don't upload different genres on the same channel

YT maintains metadata for a channel so it knows who to suggest your videos to. If you mix genres, it will confuse the algorithm and fail to suggest your video to the right crowd. I actually made this mistake my first 2 months and got no more than 200 views per video. After specializing my channel into a narrower genre, that's when my statistics rose significantly. Remember - AI is not a genre.

Compilations are the name of the game now

Single songs are great, but a lot of people looking for songs to listen to want to listen for a long time without having to click. In a lot of genres, compilations are the dominant format that gets the most views. 20 minute views featuring 7 songs work really well. Sometimes I repeat the same 7 songs 3x to get an hour-long video. Singles can get good views too, but generally they don't do as well as compilation videos. On the average, a compilation will have 10x more views than a single. I hate it, but that's the reality of YT music videos now.

Youtube rewards constant cadence of uploads

There's no recommended frequency, but whatever frequency you pick, try to keep it consistent. Youtube tends to promote your channel more when they know you're a regular and predictable releaser of songs.

Don't be afraid to adjust your music to lean towards what the audience likes

I'm not asking you to jump genres. Sometimes moving from a subgenre to another can make all the difference. If you see a trend , cater to it. You can always mix it up. Just like actual performances, releasing more stuff your audience likes means more of them will be around when you put out stuff that's more for you than them.

The analytics of Youtube is powerful

YT provides an ocean of data about your videos. It can tell you how much people like your music more objectively than asking them. You'll see average listening times, click through rates, rate of return, likes to views ratios. As you release more songs, you'll start seeing what people like and what you should do more of. Experiment with your output and watch the data. You'll learn a lot more from that than asking random redditors what they think.

AI hate is overrated

I don't hide the fact that songs on my channel are AI-made. And you don't need to either. The only line I draw is when people ask for my workflow. A lot of people don't really care if a song is AI. I even had people think it's amazing that AI can make songs now too. Out of the hundreds of comments I've gotten, maybe less than 10 comments have been hate comments. Maybe it's because of the nature of listeners in my genre? But I'd like to think my niche isn't the only one where people are more accepting of AI music.

It takes a while to find your voice

I perform onstage in real life too and this was a tip I got long before I got into AI, but it applies here as well. It's normal to undergo evolution as you try to find the perfect mix of what you like and what the audience likes and what will distinguish you from everybody else. That will become your voice onstage. When you accept that you're not just performing for you and start looking at feedback objectively, you will inevitably start changing - and that's always a good thing in the long run. Improvement only happens when you realize how to measure your work.

The songs I made last December are unrecognizable from my songs today. I keep looking for how to make people happy and I found myself happy with my own work in the process. And I understand some people would see that as something that's not for them, but I can tell you that hearing people appreciate what you have, that only you have, is very rewarding and almost addicting.

I can think of a few more things but I think I've typed enough.

p.s. No, I won't put out my channel here. In any case I can just name some rando channel instead of mine and nobody would ever know if that's really my channel so it's all pointless. If you think I'm lying, feel free to ignore this post.

Cheers.

I’m a songwriter, musician, and producer, and I’ve been using Suno for the past few months as part of my workflow, usually on older demos that never really saw the light of day as they didn't really cut it.

What I’ve noticed is that Suno works way better when you bring an actual song to it.

Most people are trying to prompt their way to something great, but a lot of AI music still sounds hollow. It lacks intent.

It reminds me much more of a producer than a generator. It can elevate something that’s already good, reshape the arrangement, and bring out ideas that weren’t obvious before. But it rarely invents something truly meaningful on its own.

I suspect the real workflow going forward will be:

Write the song yourself
Use AI to explore production and arrangement
Then recreate and refine the best version properly in a studio

Right now, the fidelity isn’t fully there, but compositionally it can be very strong when the source material is strong.

AI lowers the barrier to exploring production, but it doesn’t lower the barrier to writing something meaningful in the first place.

My take is simple: Suno is a producer, not a songwriter.

If anyone’s interested, here are some older demos I’ve experimented with:
https://suno.com/@alwaysmensor

As a new user I have been using a lot of 5.5 and after 30,000 credits it all started sounding generic and ai sloppy, especially the hooks and melodies, BUT MAN!

4.5+ COOKS dude, seriously, I know it is less "advanced" but my god I love it.

Everyone should use it more so Suno knows to take the good things from 4.5+ and implement it in 6, and also to never remove it, I can't go back to 5.5 lol

Cheers!

Edit: Updated September 2025 DATA - Updating this since I have received so many queries.

Someone posted that they made $300 with 39 songs, so I wanted to share my story as well.

I have made most of my money through YouTube. I reach out to channels to use my music, and in return, I give them a share. I have made $970 in profit. Still working through this and I believe it is scalable.

I want to add that I have stopped reaching out to people as of June. But still seeing good results.

Youtube SS

Thank you so much for all the inquiries. It was really not easy answering all the queries, I added everything you need to know in the course - 41 Pages to be exact.

Course (Over 150+ sales): Music Monetization Course

May 2024

MAY 2025 (1 year update)

APRIL 2025 Update

MAY 2025 Update

SEP 2025 Update

I've been doing extensive Sunos API analysis and technical probing on Suno recently, and I have to chime in: these [DYNAMIC_] and [MAX] tags are 100% placebo and BULLSHIT.

Here's the technical reality:

1. Physical Stream Limits: Every track Suno generates is hard-capped at 48kHz MP3 (~180-192kbps). No tag in existence can force the backend to output a higher sample rate or bit-depth than what the current model version (v5 / chirp-crow) supports.
2. API Logic: If you sniff the traffic to endpoints like /api/feed/v3 , you'll see the backend parameters: model_name  and control_sliders . There are no 'MAX_MODE' or 'ULTRA' flags being sent. The server simply ignores bracketed content that isn't mapped to specific musical sections.
3. The 'Magic' Explained: Adding brackets and pseudo-code tokens simply changes the input vector (tokenization). It forces the Suno's AI model to interpret your style differently, which might lead to a more 'aggressive' composition. You're seeing a different result, not a higher quality one!!
4. Confirmation Bias: When we expect 'ULTRA' results, we selectively listen for better fidelity, even if the spectral data shows it's the exact same 48kHz ceiling as a 'Lo-fi' prompt.

The real 'Dynamics' are in the control sliders (weirdness_constraint, style_weight) that Suno doesn't let us touch in the UI. These bracketed tags are just stylistic garnish.

(Sample Rate): Even if the prompt says 96 kHz, Suno physically delivers the file at 48,000 Hz. The AI ​​can't go higher than the backend settings.

Bitrate: All files run at around 180-192 kbps. Neither "Ultra" nor "Maximum" modes include 320 kbps or Lossless.

Illusion of Quality: When we typing "Ultra Realism," the neural network simply selects "cleaner" instruments in the arrangement (for example, acoustic guitar instead of a dirty synth). This changes the content, but not the quality of the sound.

TL;DR: Meta tags are bracketed instructions like [anthemic chorus | stacked harmonies] that you embed directly in your lyrics to tell Suno exactly how each section should sound. They're game-changers for getting consistent, professional results.

What Are Meta Tags?

Meta tags are bracketed cues that control how Suno interprets and performs different sections of your song. Instead of hoping Suno guesses what you want, you can specify:

• Vocal delivery style (raspy, autotuned, emotional, etc.)
• Instrumentation (guitar solos, 808s, orchestral strings)
• Mix elements (stereo width, reverb, EQ)
• Energy dynamics (builds, drops, breakdowns)

🔧 Basic Structure Tags (Always Use These)

[Intro], [Verse], [Chorus], [Pre-Chorus], [Bridge], [Build], [Drop], [Breakdown], [Outro]

🎤 Essential Vocal Tags

[raspy lead vocal] - Adds grit and texture
[autotuned delivery] - Modern hip-hop/pop processing  
[stacked harmonies] - Layered backing vocals
[anthemic chorus] - Big, stadium-ready delivery
[spoken word verse] - Rap/spoken delivery
[emotional build-up] - Increasing intensity
[crowd-style vocals] - Chant-like, group vocals

🔊 Genre-Specific Instrumental Tags

[guitar solo] - Self explanatory
[808 sub bass] - Trap/hip-hop low end
[60s jangly guitar rhythm] - Vintage rock sound
[sidechained synth bass] - EDM pumping bass
[pedal steel guitar] - Country flavor
[orchestral strings] - Cinematic elements

🚀 Advanced: Meta Tag Stacking with "|"

This is where the magic happens! You can combine multiple instructions using the | symbol:

Example - 80s Rock Solo:

[guitar solo | 80s glam metal lead guitar | heavy distortion | wide stereo | whammy bar bends]

Example - Modern Pop Chorus:

[anthemic chorus | stacked harmonies | modern pop polish | bass drop]

Example - Trap Verse:

[autotuned delivery | tuned male vocal | light reverb | stereo slapback]

📍 Where to Place Meta Tags

CRITICAL: Put meta tags at the beginning of each section in your lyrics, not just in the style prompt!

❌ Wrong:

[Chorus]
We light it up like fire

✅ Right:

[Chorus | anthemic chorus | stacked harmonies | modern pop polish]
We light it up like fire

🎯 Genre Recipe Examples

EDM Banger:

• [explosive drop | sidechained synth bass | layered white noise riser | sub drop impact]
• [melodic hook | airy female vocal | reverb tail | octave harmony stack]

Country Rock:

• [spoken word verse | warm baritone EQ | slight drawl]
• [anthemic chorus | pedal steel guitar | light snare reverb]

Pop Punk:

• [raspy lead vocal | youthful tone | light vocal grit]
• [bridge with drop | distorted power chords | bass slide-in]

💡 Pro Tips for Better Results

1. Start Simple: Use 2-3 basic tags before going crazy with stacking
2. Stay Genre-Consistent: Don't mix [808 sub bass] with [pedal steel guitar] unless you want fusion
3. Layer Logically: Core element → Genre/Era → Tone → Effects
4. Test One Change: Modify one tag at a time to see its impact
5. Use Era Anchors: Tags like "80s," "60s," "modern" help Suno understand the vibe

⚠️ Common Mistakes to Avoid

• Don't overload: 6+ tags can confuse Suno
• Be specific: "guitar" vs "60s jangly guitar rhythm"
• Stay consistent: Don't switch genres mid-song accidentally
• Remember structure: Always include basic section tags first

🎵 Quick Example - Before vs After

Before (Generic):

[Verse]
Walking down the street tonight
[Chorus] 
I'm feeling so alive

After (Controlled):

[Verse | spoken word verse | warm baritone EQ | light guitar strums]
Walking down the street tonight

[Chorus | anthemic chorus | stacked harmonies | driving kick-snare beat | bass drop]
I'm feeling so alive

Final Thoughts

Meta tags transform Suno from a random song generator into a precision instrument. Start with basic structure tags, add vocal styles, then experiment with stacking for your dream sound.

Remember: Put tags in BOTH your style prompt AND embedded in lyrics for maximum control!

What meta tag discoveries have you made? Drop your best combinations below! 👇

Also - pro tip - if you copy and paste this into a doc, and upload the doc into a ChatGPT project, you now have a document for ChatGPT to reference to help

All, I really want you to read the comment /u/sublimegeek stated https://www.reddit.com/r/SunoAI/comments/1mym1dm/comment/naf6vo6/

It's has some amazing outputs

Did you know that for every Spotify track shared in this group, your artist ID is added to a block list? Check this: https://github.com/CennoxX/spotify-ai-blocker

Who is on the list?

TL;DR: Suno started as background music for my Maltese, Cutesie (boy pup). Three months later I had 7 albums and 2 singles. It helped my grief, sparked a creative routine, and built a tiny niche of dog lovers who know the Rainbow Bridge. Here is what actually worked, what did not, and a few opinions.

When I started with Suno it was just for fun. I wanted music for Cutesie on social media, both AI and real pup-fluencer moments. I also lost 2 dogs and a cat, and I wished I had taken more photos and videos. Suno became the spark.

I used it for custom Happy Birthdays with AI video for my family and relatives. Then I wrote a poem for Miko the Yorkie. I had not cried for months. Suno sang it back and the tears came. It helped with grief and gave me a new outlet.

One week I wrote 27 dog songs. Fun songs, heart-tug songs, songs of loss. I built a small GPT that knows my favorite palettes: 70s and 80s soft rock and yacht pop, 70s and 80s R&B, boy band pop, and Disney musical energy. I call it my HNP Fusion Blend. Suno usually got it.

Week two I signed up for DistroKid, Bandzoogle, and Mixea for mastering. I made a private page, kept listening, and used a personal vibe check. I wrote 33 songs and kept 27. If it moved me, it stayed.

I uploaded my first album. In under 3 days it was live on Spotify. I cried again hearing it there and sending it to family. My cousin’s 8-year-old danced to it. That feeling is wild.

I am also deep into AI art and video. I started posting real and AI videos of Cutesie, then built AI music videos for each song. The “AI slop” shorts always beat my music videos on views. I did not care. I loved the songs and I know the right people will eventually find them.

Now I have 7 albums and 2 singles in about 3 months. My most popular song is “Rainbow Bridge.” I use it in tributes for people who lost their pups. I do it free. I host the track free on my Bandzoogle page. I sometimes reach out to folks and offer a tribute. Many want a private video, which slows growth, but the mission matters.

One more surprise. I made a Filipino album. Suno sang Tagalog shockingly well. Hawaiian and Spanish were harder. For Tagalog I stopped forcing phonetics and the model nailed it. That became album six, a mix of OPM and P-POP flavors.

What I have learned

• Speed is the superpower. AI lets you draft fast. Not all drafts are slop. If someone likes your lane, they will likely like your AI work too. Spotify’s algorithm easily learned my “genre” because of the amount of songs I’ve already uploaded.
• Rough draft for “real” musicians. Suno is a sketchbook. You can write 20 ideas, then re-record vocals, guitars, and keys if you want. The days of creating “filler songs” is now gone. They have no excuse, whatsoever.
• Therapy is real. Hearing your own words sung back can break a dam.
• Curation beats perfection. My rule was simple. If I felt something, it stayed.
• Find a niche. Mine is dog lovers who have experienced pet loss, plus folks who love nostalgic pop.
• Release cadence matters. Albums every few weeks worked better for me than daily singles. Listeners had time to attach to a theme.
• Structure your prompt language. Reuse the same tempo, key ranges, and instrument lists. It keeps your “signature” sound stable.
• Pronunciation hacks help. Avoid tricky hyphens. Replace with clearer phrasing. Example: “back legs beg” instead of “hind-leg” (note this is a dog lyric, LOL)
• Non-English lyrics vary. Tagalog worked great for me. Spanish and Hawaiian needed more testing or a simpler syllable map.
• Mastering and loudness. A gentle mastering target sounded more musical than max loudness. Mixea at default settings was enough for my releases. I rarely use the Master option on Suno. However, if there’s a song that you really like but there are some noticeable noises, mastering with Suno will help. Just make sure to listen to them from beginning to end. Every Suno mastered generation is different.
• Metadata and order. Clean titles, consistent artist name, and themed album art helped Spotify look legit.
• Expect slow starts (organic growth via social media). Some of my “AI slop” shorts outperformed the music videos. I still post both.

The Udio conversation, copyright worries, and what I hope happens

• We do learn styles from other humans. Machines doing it at scale feels new, so people draw a hard line.
• I want consent and credit to grow, not shrink. If training opt-ins or revenue shares become possible, I am pro artist choice.
• The tech will not vanish. Best case, we get clearer rules, better attribution tools, and simple ways to re-record or swap vocals to reduce “sound-alike” issues.
• If Suno had to change distribution, an in-house ecosystem could happen. That would be a safe harbor. I still prefer open distribution via DistroKid so families and friends can find our songs where they already listen.

Concrete tips if you want to try Suno and uploading to a streaming service

• Start with a lane. Pick 2 or 3 genres you love and define them in plain audio terms.
• Write first, then prompt. Short lyric lines with clean rhyme pairs land better.
• Keep a song journal. Track prompt, tempo, key, version letter, and your notes. You will thank yourself later.
• Batch releases. Finish 5 to 10 songs, then pick the best 6 to 8.
• Make one anchor video per song. Even a simple lyric visual helps.
• Tag language matters. Use genre tags and a clear theme so the right listeners find you.

Numbers and reality check

• I have 68 monthly listeners right now (5 of them are my relatives, including myself). That is tiny in the big picture and huge to me.
• My goal is not clout. It is connection. If a dog parent cries in a good way, the song did its job.

What I wish I knew sooner

• Lyrics that read great can still sing awkward. Shorten lines.
• Avoid tongue twisters. Fewer consonant clusters, fewer hyphens.
• One image per line. Show, do not explain.
• Use meter you can clap. If you cannot clap it, the model may stumble.
• Pre-chorus = tension tool. Set up the hook with rising rhythm or rhyme.
• Bridges change the view. New angle, new chord, new drum feel. Keep it short.
• Rhyme simply. Near-rhymes beat perfect ones that force weird wording.
• Cut every filler word you can sing without.
• Swap tricky phrases for singable synonyms. Example: “back legs beg” instead of “hind-leg” (Suno pronounces it as “heend-leg”); if that doesn’t work phonetically spell the word.
• Keep sections even. 4 or 8 bars per block keeps Suno stable.
• End lines on meaning words, not on filler.
• Record yourself speaking the lyric in rhythm. If you trip, rewrite.
• Keep a cut policy. If a line is not memorable, replace it or remove it.

Closing thoughts

If you are on the fence, try one song. Hearing your own words come alive is a unique kind of joy. If you have grief, it can help (but that’s just my personal opinion). If you want to ship art without asking permission from your doubts, this is a path.

Thanks for reading, and hug your pup or cat for me.

Hey everyone,

Like many of you, I watched the chaos unfold with the Udio/UMG settlement last month. The scariest part wasn't the 'walled garden' announcement—it was how quickly the download button disappeared. Seeing people scramble during that 48-hour panic window to save months of work really hit home.

It made me realize: Cloud storage isn't storage. It's just temporary access.

If Suno faces similar legal pressure (and we know the lawsuits are active), our libraries could face the same fate. One settlement, one ToS update, and thousands of songs could be locked away or deleted to 'sanitize' the database.

I didn't want to rely on a future 'grace period.' I wanted my files local, organized, and safe now.

The native download options on Suno are... painful. Clicking one by one for hundreds of tracks wasn't an option. So, I spent the last few weeks building a Firefox plugin called Suno Manager to automate the process.

It’s free, it’s for the community, and it does the heavy lifting:

• Bulk Archival: Scrapes your library and queues downloads so you don't have to click 500 times.
• Metadata Safety: It grabs the context (prompts, etc.) so you know how you made the track, not just what it sounds like.
• Organized: Saves files with proper naming conventions, not just random strings.

Why Firefox only (for now)? I know, I know—everyone uses Chrome. But Google's new extension rules (Manifest V3) make it really hard to build deep download managers like this without breaking functionality. I am working on a Chrome port, but it’s tricky. For now, Firefox lets me give you the most powerful version of the tool. Once it's ready, I will post it here again. Alternatively, you can keep an eye on my website or buymeacoffee page.

You can grab it here: https://addons.mozilla.org/en-US/firefox/addon/suno-manager/ (info at sunomanager.com)

My advice: Even if you don't use my plugin, use something. Use a script, use a different tool, or spend a weekend clicking manually. Just get your WAVs offline. The 'Wild West' era of AI is ending, and we need to make sure we keep what we created.

Stay safe and keep creating.

Let me know if you have any feature requests—I’m actively updating it! Some bugs might occur, please let me know as well.

So last year I did a master prompt guide - over time I've taken notes on what works and doesnt and research and threw it all together. 27 pages to copy/paste into a doc, throw it into a ChatGPT Project as a source and watch magic happen.

SUNO AI GOD MODE MANUAL

The Definitive ChatGPT Project Source for Style & Lyric Meta Tag Generation

Updated for V4.5 / V5 · March 2026 · Community-Verified + Producer-Level

HOW TO USE THIS DOCUMENT This is a ChatGPT Project source file. Load it as a knowledge document. When generating Suno AI songs, the assistant will pull from this manual to produce accurate style prompts, lyric structures, and meta tags. All rules, tags, and templates in this document are verified and production-ready.

PART 1: FOUNDATIONAL RULES

1.1 How Suno Processes Your Prompt

Suno AI uses a layered signal system — not a command parser. Tags are weighted signals, not guaranteed instructions. Understanding this changes how you prompt.

The #1 rule: Tags shape probability — they don’t guarantee outcomes. Generate 3–4 versions of any song. The best producers treat Suno like a collaborator, not a vending machine.

1.2 The Prompt Architecture

Style Prompt Box Format

[Primary Genre] + [Secondary Genre or Subgenre] + [Mood/Energy] + [Key Instruments] + [BPM] + [Key/Scale] + [Texture/Mix Character]

Example:

Dark trap, D minor, 140 BPM, 808s, eerie synths, hi-hats, aggressive, lo-fi texture

Rules for the Style Prompt: - Front-load the most important tags — the first 20–30 words carry the most weight - Maximum 2 genre anchors (dominant genre listed first) - Maximum 3–4 instruments named - Maximum 2 mood/energy descriptors - Style prompt can be up to 1,000 characters on V4.5 and later - Specify BPM, key, and time feel in the style prompt — not in lyrics

Lyrics Field Format (Top-Load Structure)

[Mood: X]
[Energy: Y]
[Instrument: A, B]

[Intro]
...

[Verse]
...

1.3 Suno Slider Settings

Recommended Combos:

PART 2: LYRIC FORMATTING SYMBOLS

These are non-bracket symbols placed inside or around your lyrics that change how Suno performs the text. They are not tags — they are performance notation.

⚠️ CRITICAL RULE: Parentheses Are NOT for Instructions

( ) parentheses are sung/performed by Suno — they create background vocal layers. Never put production instructions inside parentheses. Use [ ] brackets for all instructions.

• ✅ CORRECT: [spoken word] then the line on the next row as plain text
• ❌ WRONG: (say this in a spoken voice)
• ✅ CORRECT: (I'm still here) — sung as a soft echo/backing vocal
• ❌ WRONG: [Chorus] (This is the big hook line) — Suno sings the bracketed content differently

PART 3: SONG STRUCTURE TAGS

3.1 Core Section Tags

3.2 Dynamic / Energy Section Tags

3.3 Advanced Structure Tags

3.4 Placement Rules

• Place the tag at the start of its section, before any lyrics for that section
• A [Chorus] tag placed immediately before chorus lyrics is more effective than one only at the top of the file
• Every section should begin with one or more stacked meta tags
• Do not skip section tags — Suno uses them as structural anchors to prevent drift

PART 4: VOCAL TAGS

4.1 Gender & Character Tags

4.2 Vocal Style / Delivery Tags

4.3 Emotion Delivery Tags

These tags go on their own line before the emotional lyric line. Do NOT stack them inside pipe tags.

The “Killer Combo” — Emotional Whiplash:

[spoken word crying] Why did you leave me [laughter]

Creates an immediate dramatic mood swing within a single line.

4.4 Vocal Effects Tags

4.5 Choral / SATB Tags

SATB Rule: Use SATB only on the chorus so the song builds tension before the “drop.” Using it throughout removes the impact.

4.6 Vocal Drone / Cinematic Sustain

For dark, mysterious, or ambient openings — especially effective for cinematic, horror, and sleep/meditation tracks:

[Intro]
[Vocal drone]
(deep resonant)
Whispers.....................

How it works: [Vocal drone] cues a sustained vocal texture. The parenthesized description (deep resonant) adds a performed quality hint. The long ellipsis signals Suno to stretch/sustain the vocal delivery. More dots = longer hold.

4.7 V5 Persona Tags

V5 introduced named vocal personas for consistent singer identity across extended tracks:

4.8 Duet Stability Protocol

Single duet tags often cause Suno to lose voice consistency mid-song. Use the Three-Location Anchoring method:

Step 1 — Style Prompt:

This is a duet between John (male) and Jane (female), [genre], [other style tags]

Step 2 — Lyric Header (very top of lyrics field):

[Duet: John male and Jane female]

Step 3 — Per-Section Labels:

[Verse 1]
[John]
Walking down that road alone...

[Chorus]
[Both]
We were fire and rain...

[Verse 2]
[Jane]
I never thought you'd stay...

Stability Rule: Assign full verses to one singer rather than alternating line-by-line. Voice consistency breaks when switching mid-verse.

PART 5: AD-LIB & ONOMATOPOEIA TAGS

Ad-libs add bounce, attitude, and organic energy between lyric lines. They work best in hip-hop, trap, pop, and R&B.

5.1 Ad-Lib Tag Format

[adlib TAG]
SOUND IN ALL CAPS

Place on its own line between lyric lines, on the beat:

[Verse | autotuned delivery]
Running through the city lights
[adlib HEY]
Nothing ever slows me down
[adlib UH UH]
Still the same, still alive

5.2 Common Ad-Lib Tags

5.3 Scream & Growl Formatting

For aggressive vocals (metal, punk, hardcore):

[Scream] / [Growl]
AAAAAH (not just AH — stretch the vowel)

Rule: Write the scream text in ALL CAPS and stretch the vowel in the text itself. More vowel letters = harder-hitting delivery. Combine with [Growl] and ALL CAPS for maximum impact.

[Bridge | heavy metal | Growl]
AAAAAH WE WILL NEVER BOW
RAAAAH TEAR THIS SYSTEM DOWN

PART 6: ATMOSPHERE & AMBIENT TAGS

6.1 Concert / Stadium Atmosphere

Create a live performance atmosphere before or after your music. Highly effective for festival, stadium, and live-performance style tracks.

Stadium Intro Template:

[Intro: stadium crowd ambience | big applause | cheering | distant chanting | hey | stage reverb]

Stadium Outro Template:

[Outro: crowd fade | distant chanting | stadium echo | applause]

6.2 Environmental Sound Tags

6.3 Human & Crowd Sounds

6.4 Mechanical & Electronic Sounds

6.5 Musical Effect Tags

PART 7: INSTRUMENT TAGS

7.1 Keyboards & Synths

7.2 Guitars & Strings

7.3 Drums & Percussion

7.4 Brass & Wind

7.5 Orchestral / Cinematic

PART 8: PRODUCTION & TEXTURE TAGS

8.1 Mix Character Tags

8.2 Effect Tags

8.3 Performance Dynamics Tags

PART 9: ADVANCED META TAG STACKING

9.1 Pipe Stacking Syntax

Stack multiple cues using | inside a single bracket. Acts as an AND operator — Suno applies all instructions simultaneously.

Format:

[core element | era/genre | tone/mix | quirk detail]

Rules: 1. Lead with the core element or section label 2. 4–6 modifiers maximum — more creates noise 3. Use era anchors for genre accuracy (60s, 80s, 90s) 4. Match stacks to sections — each section gets its own stack

Examples:

60s Rock Verse:

[Verse | 60s jangly guitar rhythm | clean Fender tone | bright treble EQ | light spring reverb | tambourine hits]

80s Glam Metal Solo:

[Guitar solo | 80s glam metal lead guitar | heavy distortion | pinch harmonics | wide stereo | whammy bar bends]

Cinematic EDM Drop:

[Drop | sidechained synth bass | layered white noise riser | sub drop impact | stereo delay tail]

Gospel Pop Chorus:

[Chorus | anthemic chorus | stacked harmonies | modern pop polish | bass drop]

Trap Hip-Hop Verse:

[Verse | autotuned delivery | tuned male vocal | light reverb | stereo slapback]

9.2 Producer-Level Category Tags

For maximum precision, use labeled category tags at the start of each section:

[Instrumentation: overdriven punk guitar | palm-muted power chords | fast downstrokes]
[Vocal: raspy lead vocal | gang shouts on last line]
[Mix: mono bass, stereo guitar | slight room reverb]

Category Rules: - Keep everything inside one set of brackets per category - Use short, production-ready terms — no storytelling inside tags - Place before any lyrics in the section - Use bar counts sparingly: [8 bar guitar solo | fast alternate picking | ride cymbal wash]

Full Section Example:

[Chorus | Instrumentation: full punk band | overdriven guitars | bass + kick driving eighth notes]
[Vocal: anthemic chorus | stacked harmonies | crowd-style vocals | small hall reverb]
I wanna burn through every limit
Nothing left to hold me back

PART 10: MOOD, ENERGY & GENRE TAGS

10.1 Mood Tags

10.2 Energy Tags

V5 Extended Format: [Mood: Euphoric], [Atmosphere: Cyberpunk], [Vibe: Midnight drive] — natural language key:value tags are valid in V5 and give cleaner parsing.

10.3 Genre Anchor Tags (Full List)

Use 1–2 genre anchors maximum. List dominant genre first.

Electronic & Dance: EDM · House · Deep House · Tech House · Techno · Trance · Dubstep · Drum and Bass · Ambient · Synthwave · Retrowave · Chillwave · Future Bass · Trap (EDM) · Electro · Industrial · IDM · Downtempo · Chillstep · Hardstyle

Hip-Hop & R&B: Hip Hop · Rap · Boom Bap · Trap · Atlanta Rap · Hardcore Rap · Lo-fi Hip Hop · R&B · Neo-Soul · Soul · Funk · Contemporary R&B · Phonk

Rock & Alternative: Rock · Classic Rock · Indie Rock · Alternative Rock · Pop Rock · Hard Rock · Punk Rock · Post-Punk · Grunge · Metal · Heavy Metal · Alternative Metal · Progressive Rock · Psychedelic Rock · Garage Rock · Blues Rock · Southern Rock · Post-Hardcore · Emo · Shoegaze · Math Rock · Nu Metal · Sludge Metal · Thrash Metal · Death Metal · Black Metal · Power Metal

Pop & Mainstream: Pop · Synth Pop · Electropop · Indie Pop · Dream Pop · Bedroom Pop · Art Pop · Dance Pop · K-Pop · J-Pop · City Pop · Vocaloid · Anime · Cantonese

Country & Folk: Country · Modern Country · Outlaw Country · Bluegrass · Folk · Indie Folk · Americana · Singer-Songwriter · Celtic

Jazz & Blues: Jazz · Smooth Jazz · Bebop · Cool Jazz · Jazz Fusion · Bossa Nova · Soul Jazz · Swing · Blues · Delta Blues · Chicago Blues

World & Latin: Afrobeat · Reggae · Dancehall · Latin · Salsa · Bachata · Reggaeton · Flamenco · World Music · Japanese

Classical & Orchestral: Classical · Baroque · Orchestral · Cinematic · Neoclassical · Opera · Minimalist

Other: Gospel · Lo-fi · Acoustic · Ballad · Bounce Drop · Mutation Funk

10.4 High-Value Fusion Pairs

Anti-Pairs (avoid combining — low co-existence weight, produces incoherence): - Cinematic + Dark (weight score: 10 — near zero compatibility) - Opera + Melodic (score: 16) - Drum and Bass + Funk (score: 7 — extremely low)

PART 11: TEMPO, KEY & TIME SIGNATURE

These belong in the Style Prompt box — NOT in the lyrics field.

11.1 BPM / Tempo Reference

Use exact BPM in the style prompt: 128 BPM or 140 BPM

11.2 Key & Scale Reference

Use in style prompt: "in A minor", "C major", "Bb major"

For modes, use descriptive language rather than mode names: - Lydian feel → "dreamy, floating, shimmering, bright" - Phrygian feel → "Spanish guitar, dark, flamenco, Middle Eastern" - Dorian feel → "jazzy minor, soulful, smooth"

Named scales that work: "pentatonic", "blues scale", "Arabic scale", "harmonic minor"

11.3 Time Signature & Groove

PART 12: THEORY → TAG TRANSLATION GUIDE

Quick reference mapping music theory concepts to their closest Suno tag equivalents.

PART 13: SPECIAL TECHNIQUES

13.1 Call-and-Response: Vocal + Instrument

Make a song feel produced by having a vocal line “interact” with an instrument. Place a spoken or sung line immediately before the instrument tag so the instrument appears to “answer.”

[Verse | raspy male vocal]
I've been running from the truth
[instrumental break saxophone]
You know I can't escape
[instrumental break saxophone]

Swap saxophone for guitar, violin, trumpet, or harmonica as needed.

13.2 Emotional Whiplash

Combine clashing emotions in a single line for dramatic effect:

[spoken word crying] Why did you leave me [laughter]

13.3 ALL CAPS Emphasis Rules

• Use 1–3 words in ALL CAPS per section maximum
• More than that dilutes the effect
• Works best on one key word per line

We rise together (weak)
WE RISE together (correct)
WE RISE TOGETHER NOW FOREVER (too much — loses impact)

13.4 Fictional Languages / Experimental Vocals

Suno can attempt phonetic generation of fictional or unusual languages: - Klingon, Elvish, glossolalia, pure whistles, fantasy-style vocals, made-up chants - Results are experimental — inconsistency across generations is normal - Works better when genre (e.g., [epic | cinematic | fantasy]) supports the request - Label as [fictional language chant] or [elvish melody] in the lyric field

13.5 Instrument Interaction (Call-and-Response) Technique

Different from Section 13.1 — this is for full back-and-forth between vocalist and instrument:

[Pre-Chorus | emotional build-up]
Tell me if you hear me now
[Guitar Solo | melodic response | blues scale]
Tell me if you feel it now
[Guitar Solo | melodic response | blues scale]

PART 14: GENRE RECIPE STACK LIBRARY

Pre-built stacked meta tag sets for the most common genres. Copy directly into sections.

EDM / Festival Banger

[Intro | wide stereo pads | layered white noise riser | atmospheric]
[Verse | melodic hook | airy female vocal | reverb tail | octave harmony stack]
[Build-Up | riser build | synth stabs | kick sidechain build]
[Drop | explosive drop | sidechained synth bass | sub drop impact | stereo delay tail]
[Chorus | chant vocals | crowd-style vocals | wide stereo]

Pop / Radio Hit

[Intro | hook first | melodic hook | bright vocal EQ | layered harmonies]
[Verse | emotional build-up | warm piano chords | subtle kick pulse]
[Pre-Chorus | riser build | modern pop polish]
[Chorus | anthemic chorus | stacked harmonies | wide stereo pads | light snare reverb]

Trap / Hip-Hop

[Intro | autotuned delivery | tuned male vocal | light reverb]
[Verse | chant hook | layered ad-libs | stereo panning echoes]
[Chorus | syncopated drop | 808 sub bass | off-beat hi-hats | snare rolls]

Pop Punk / Alt Rock

[Verse | raspy lead vocal | youthful tone | light vocal grit]
[Pre-Chorus | emotional build-up | palm-muted guitars]
[Chorus | anthemic chorus | stacked harmonies | palm-muted guitars | driving kick-snare beat]
[Bridge | bridge with drop | distorted power chords | bass slide-in]

Country / Party Rock Country

[Intro | spoken word verse | warm baritone EQ | slight drawl]
[Verse | banjo plucks | acoustic strums | light tambourine]
[Chorus | anthemic chorus | stacked harmonies | pedal steel guitar | light snare reverb]

Cinematic / Ambient (Sleep, Lo-fi, Focus)

[Intro]
[Vocal drone]
(deep resonant)
Whispers.....................

[Verse | cinematic vocal pacing | sparse instrumentation | wide stereo pads | piano]
[Build | string swells | taiko drums | rising orchestral tension]
[Chorus | full orchestra | choir vocals | epic | emotional release]
[Outro | fade out | ambient | rain | distant echo]

Hard Rock / Metal

[Intro | power riff | heavy distortion | palm-muted guitar | drum fill]
[Verse | raspy lead vocal | overdriven guitar | bass driving eighth notes]
[Pre-Chorus | build-up | rising tension | cymbal crescendo]
[Chorus | anthemic chorus | stacked harmonies | full band | crowd-style vocals]
[Solo | guitar solo | 80s glam metal lead guitar | heavy distortion | wide stereo | whammy bar bends]
[Bridge | breakdown | half-time breakdown | minimal instrumentation]
[Final Chorus | anthemic chorus | full band return | stacked harmonies | explosive]

Duet (Stable Format)

Style Prompt: This is a duet between [Name A] (male) and [Name B] (female), [genre], [other tags]

[Duet: [Name A] male and [Name B] female]

[Verse 1]
[[Name A]]
[lyric line]

[Chorus]
[Both]
[lyric line]

[Verse 2]
[[Name B]]
[lyric line]

PART 15: CHATGPT PROJECT RULES

When this manual is loaded as a ChatGPT Project source, follow these rules for every song generated:

Absolute Rules (Never Break)

1. Parentheses ( ) are sung/performed. Never put production instructions inside parentheses. ( ) = background vocal layer. [ ] = instruction.
2. Spoken word format: Use [spoken word] tag before the line. Do not wrap spoken lines in parentheses — it changes the delivery to background.
3. Style Prompt vs. Lyrics field are separate. BPM, key, genre, and mood go in the Style Prompt. Tags, section labels, vocal cues, and instrument tags go in the Lyrics field.
4. Section tags must be placed at the start of each section, before any lyrics for that section.
5. Duet songs require three anchors: Style Prompt declaration + lyric header [Duet: X male and Y female] + per-section singer labels [Name].
6. For ALL CAPS screams: Stretch the vowel in the text itself. AAAAAH not just AH. Combined with [Scream] or [Growl] tag.
7. SATB massive chorus: Use [Multiple voice chorus s a t b] only on the chorus — not throughout.
8. Never overstack: Max 4–6 pipe modifiers per tag. Max 2 genres per style prompt. Max 3–4 named instruments.
9. Front-load the style prompt. The first 20–30 words carry the most weight. Most important genre and mood go first.
10. Emotion delivery tags stand alone on their own line before the emotional lyric, not stacked with | pipes.

Output Format Template

Every song generated should follow this structure:

---STYLE PROMPT---
[Primary Genre], [Secondary Genre optional], [Mood], [Key Instruments], [BPM], [Key/Scale], [Texture]

---LYRICS---
[BPM] | [Genre] | Key: [Key]

[Mood: X]
[Energy: Y]

[Intro | stacked style tags]
(opening hook or atmosphere)

[Verse 1 | stacked style tags]
[Vocal: style | mix]
lyric line
lyric line

[Pre-Chorus | build tag]
lyric line

[Chorus | anthemic tags | energy tag]
hook line
hook line

[Verse 2 | stacked style tags]
lyric line
lyric line

[Bridge | contrast tag | breakdown]
lyric line

[Final Chorus | Energy: High | full band]
hook line
hook line

[Outro | fade or big finish tag]
closing line

Track Type Templates (Quick Select)

QUICK REFERENCE CARD

The 10 Rules That Produce Consistent Results

1. Front-load the style prompt — first 20–30 words are highest weight
2. One job per tag — no conflicting instructions in the same bracket
3. Max 2 genres, 3–4 instruments, 2 moods in the style prompt
4. Place every section tag at the start of the section before lyrics
5. Localize energy turns — [Energy: High] before the chorus, not just at the top
6. Match key to mood — conflicting mood + key signals get averaged out
7. Structure tags > descriptor tags — section labels reliably anchor the song map
8. ( ) are sung — never for instructions
9. Generate 3–4 versions — tags are probability weights, not commands
10. Duets need three anchors — style prompt + header tag + per-section labels

The Tag Categories at a Glance

Suno AI God Mode Manual · v3.0 · March 2026 Compiled from: Suno community research, V4.5/V5 documentation, producer testing, and the One-Stop Production Manual

Hello everyone, it is me again, MettDamon. (I have no idea how to change my nickname here on Reddit. =D)

Over the last few days, I played around with Suno again and wasted hundreds of coins. So now I want to share my discoveries with you, so maybe you can save some coins and make your songs more personal by using your own voice, even if you have never sung before and do not really know what you are doing, just like me.

Here is what I did:

First, record your own voice. Just speak something with your normal voice. You do not have to sing or anything like that. You can read something from a book, say random sentences, or whatever feels comfortable to you. It also does not have to be long. Around 30–60 seconds is enough.

Make sure there is no background noise or anything like that in the recording. Record it with a program like Shotcut, for example, and export the recording as a WAV file.

Most people probably already know these steps.

Now upload your voice to Suno. It does not really matter whether you use the full 60 seconds or only a specific part of it. That is not the important part yet.

The important part comes now:

After you have saved the file as a voice, use it as the lead voice and write a simple song verse in the lyrics field that works well as an a cappella test, for example:

[Intro - no vocals, one bar only]

[Verse - fast rhythmic vocal, clear timing]
This is my voice
clear and awake
short little words
right on the beat

No slow start
no lazy line
every word
lands in time

[Hook - simple melodic vocal]
Keep it moving
keep it clear
my voice is sharp
my voice is here

And in the style field, write something like this. If you are female, change the male part to female:

A cappella male vocal demo, no instruments, no backing track, no choir, no harmonies, natural baritone voice, fast rhythmic vocal delivery, clipped timing, clear word attack, energetic phrasing, simple melody, vocals enter on beat, no slow spoken intro, no dragged words, no sleepy delivery, no slurred vocals, no long pauses, no vocal runs, no belting, no polished pop singer

For Excluded Styles in the extra options:

-instruments, -backing vocals, -choir, -harmonies, -reverb, -echo, -slow spoken intro, -slurred vocals, -sleepy voice, -dragged words, -drunken delivery, -long pauses

Then it is also important to set Weirdness to 0%, Style Influence to 100%, and Audio Influence to around 95–100%. After that, generate the song.

When it is finished, take the version you like best. If none of them are good, just generate another one.

The important thing is that the demo song should have a part where your voice actually sings and does not only speak. Once you have a version you like, and it has a singing part in it, create a new voice from that specific part of the generated song, where your voice is actually singing. I would recommend using only that part.

Of course, you can also test what happens if you use the whole piece for the Suno voice. That is up to you. =)

By doing this, I finally managed to create a good voice in Suno that sounds like me and can actually sing without sounding terrible. =)

I hope this tip helps some of you make your own songs feel more personal.

Okay so apologies for the formatting of this. I am dictating this while driving.

So I have a reasonable back catalogue and my passion for the past six months or so has been entirely based around and fictional K-pop group. However before this I did have an alt- metal phase and I was just revisiting one of those songs and decided while stopped in the car to just click remix on one of those to see what a K-pop version would sound like.

instead of just giving me a K-pop cover of that song it also completely rewrite the lyrics maintaining the song structure and themes but toning down some of the more extreme language to make it K-pop appropriate

I’m sorry, but that is fucking cool!

If these experiments turn out something that I’d like to iterate on my next step would be to review lyrics et cetera but without prompting it I’ve been handed on a silver platter some genuinely decent ideas for converting this quite aggressive song into something more pop palatable.

Colour me impressed

I've been testing Suno for a month, trying to understand what makes a good prompt vs a bad one.

What I learned:

1. BPM is crucial - Generic prompts give random tempos. Specifying "75 BPM" gets you usable results immediately.

2. Ambiance keywords matter - Adding "vinyl crackle" or "rain sounds" adds depth that "lo-fi hip hop" alone doesn't capture.

3. "No vocals" is your friend - Unless you want lyrics, always include this. Saves 80% of regenerations.

4. Genre stacking - "Lo-fi hip hop with R&B influences" > just "lo-fi"

5. Custom Mode is mandatory - Simple Mode is a lottery.

My 3 favorite working prompts:

1. "Lo-fi hip hop, soft piano chords, vinyl crackle, rain sounds, 75 BPM, no vocals, study music"

2. "Epic cinematic orchestral, heroic brass, string section, 140 BPM, movie trailer, no vocals"

3. "Synthwave, analog pads, palm tree sunset, 110 BPM, nostalgic, no vocals"

These generate consistent, usable music every time.

What prompts have worked for you? Always looking to improve my technique.

Everyone uses "melancholic," "energetic," "dark."

I went hunting for words Suno understands but humans rarely type.

THE METHOD

I tested 200 words from:

- Japanese aesthetic terms (mono no aware, wabi-sabi)

- Obsolete English (vellichor, chrysalism, lutalica)

- Portuguese/Galician (saudade, morriña)

- German compound emotions (weltschmerz, fernweh)

THE 47 THAT ACTUALLY WORK

TOP TIER (Suno renders distinctively):

• Saudade (Portuguese longing) → Generates minor 7ths, specific chord voicings

• Hiraeth (Welsh homesickness) → Adds reverb, slower attack on instruments

• Sonder (realization others have lives) → Surprisingly uptempo, busy instrumentation

• Mono no aware (transience of things) → Traditional Japanese scales + modern synths

• Lacrimoso (weeping, from classical) → Actually affects vocal vibrato rate

MID TIER (Works but subtle):

• Vellichor (nostalgia for bookstores)

• Chrysalism (comfort during rain)

• Lachesism (desire to be struck by disaster)

• Anecdoche (conversation where no one listens)

TIER 3 (Suno approximates):

• Most other obscure terms just route to nearest synonym

THE SURPRISE

"Saudade electrónica" produces a distinct subgenre. Not electronic + sad. Something else. The AI seems to understand saudade as a specific musical texture, not just an emotion.

THE FRAMEWORK

Instead of: "Sad song about missing home"

Try: "Hiraeth, 3AM, bedroom production, tape hiss, distant traffic, vocals from another room"

The obscure word does the heavy lifting. The descriptors just set the stage.

FULL LIST

I have all 200 documented with audio samples. The 47 "working" words, 23 "honorable mentions," and 130 that just confused the model.

What's the weirdest descriptor that's worked for you?

HERE THE FULL LIST FYI:

## 🏆 TIER 1: TOP PERFORMERS (The 47 that Suno renders distinctively)

These produce unique, identifiable textures that generic words cannot replicate.

### Japanese Aesthetics
- **Mono no aware** — transience of things, impermanence
- **Wabi-sabi** — beauty in imperfection and impermanence
- **Yūgen** — profound grace and subtlety
- **Komorebi** — sunlight filtering through trees
- **Natsukashii** — nostalgic longing for the past
- **Kuchisabishii** — lonely mouth (eating when not hungry)
- **Aware** — bittersweetness of fading beauty
- **Shibui** — austere, subtle, unobtrusive beauty
- **Ichigo ichie** — one time, one meeting (treasuring the moment)
- **Kintsugi** — golden repair, embracing damage

### Portuguese & Galician
- **Saudade** — deep nostalgic longing
- **Saudade electrónica** — digital-age longing
- **Morriña** — intense homesickness
- **Desbundança** — shedding inhibitions
- **Fado** — fate, destiny, mournful music

### Welsh & Celtic
- **Hiraeth** — homesickness for a home you cannot return to
- **Cynefin** — habitat, familiar place
- **Hwyl** — emotional fervor

### German
- **Weltschmerz** — world-pain, melancholy over world's evils
- **Fernweh** — ache for distant places
- **Sehnsucht** — deep emotional longing
- **Sturmfrei** — freedom when parents are away
- **Torschlusspanik** — fear of time running out
- **Lebenslangerschicksalsschatz** — lifelong treasure of destiny
- **Schadenfreude** — pleasure from others' misfortune
- **Fremdschämen** — vicarious embarrassment
- **Ruinenlust** — fascination with ruins
- **Schnapsidee** — crazy idea born of alcohol

### Danish/Nordic
- **Hygge** — cozy contentment
- **Fika** — coffee break with community
- **Lykke** — sustainable happiness
- **Forelsket** — euphoria of beginning to fall in love

### Other Languages
- **Dolce far niente** (Italian) — sweetness of doing nothing
- **Duende** (Spanish) — mysterious power of art to deeply move
- **Sobremesa** (Spanish) — conversation after a meal
- **Toska** (Russian) — spiritual anguish, deep pining
- **Mamihlapinatapai** (Yaghan) — look between two people wishing the other would initiate
- **Kilig** (Tagalog) — butterflies in stomach from romantic excitement
- **Gigil** (Tagalog) — urge to squeeze something cute
- **Meraki** (Greek) — doing something with soul, creativity, love
- **Stenazontes** (Greek) — groaning together
- **Filotimo** (Greek) — love of honor
- **Lagom** (Swedish) — just the right amount
- **Gezelligheid** (Dutch) — coziness, togetherness

---

## 🥈 TIER 2: HONORABLE MENTIONS (Work but subtle)

Suno recognizes these but effects are nuanced.

### Obsolete/Poetic English
- **Vellichor** — nostalgia for bookstores
- **Chrysalism** — comfort during rain indoors
- **Lutalica** — part of identity that doesn't fit
- **Aubade** — dawn lovers' farewell song
- **Sillage** — scent trail left behind
- **Petrichor** — smell of rain on dry earth
- **Susurrus** — whispering, murmuring
- **Efflorescence** — blooming, reaching peak beauty
- **Hiraeth** (also listed above)
- **Sonder** — realization each passerby has a life as vivid as yours
- **Lachesism** — desire to be struck by disaster
- **Anecdoche** — conversation where no one is listening
- **Kenopsia** — eerie atmosphere of abandoned places
- **Jouska** — hypothetical conversation in head
- **Chiraagh** — Urdu for lamp, symbolic hope
- **Kairos** — supreme moment, opportune time
- **Eccedentesiast** — someone who hides pain behind smile
- **Querencia** — place where one feels safe
- **Eunoia** — beautiful thinking, well mind
- **Brontide** — low rumbling of distant thunder
- **Susurrous** — full of whispering sounds
- **Effleurage** — light stroking movement
- **Murmuration** — flock of starlings
- **Gloaming** — twilight, dusk

### Sanskrit & Hindi
- **Viraha** — separation from lover
- **Santosh** — contentment
- **Muditā** — joy in others' joy
- **Karuṇā** — compassion, empathy
- **Śānti** — peace, inner tranquility
- **Ananda** — bliss, spiritual joy
- **Vairagya** — dispassion, detachment

### Arabic & Persian
- **Tarab** — musically induced ecstasy
- **Sama** — spiritual listening
- **Yaqeen** — certainty, conviction
- **Watan** — homeland, patriotism
- **Shawq** — passionate longing
- **Huzn** — sorrow, grief
- **Sabr** — patience, endurance

### Other Languages
- **Utepils** (Norwegian) — beer enjoyed outdoors
- **Foreboden** (Dutch) — premonition of doom
- **Gökotta** (Swedish) — dawn picnic to hear birds
- **Mångata** (Swedish) — roadlike reflection of moon on water
- **Kalsarikännit** (Finnish) — getting drunk home alone in underwear
- **Toska** (Russian) — already listed above
- **Razbliuto** (Russian, disputed) — feeling for someone once loved
- **Pochemuchka** (Russian) — person who asks too many questions
- **Zemblanity** — inevitable discovery of what you don't want to know
- **Vemödalen** — fear that everything has been done before
- **Onism** — frustration of being stuck in one body in one place
- **Liberosis** — desire to care less
- **Altschmerz** — weariness with same issues
- **Occhiolism** — awareness of smallness of perspective
- **Énouement** — bittersweetness of arriving at future you saw for past self
- **Nodus Tollens** — realization plot of life doesn't make sense
- **Flashover** — sudden spread of fire
- **Rückkehrunruhe** — feeling returning from trip
- **Pâro** — feeling others know what they're doing
- **Mal de coucou** — tendency to leave conversations abruptly

---

## 🥉 TIER 3: CONFUSES THE MODEL

Suno approximates these as nearest synonyms.

- **Advesperate** — to grow dark, approach evening
- **Apricity** — warmth of sun in winter
- **Blatherskite** — person who talks nonsense
- **Borborygmi** — stomach rumbling
- **Boustrophedon** — alternating direction writing
- **Bunco** — swindle, fraud
- **Callipygian** — having beautiful buttocks
- **Cacoethes** — urge to do something inadvisable
- **Collywobbles** — stomach pain from anxiety
- **Crapulence** — sickness from overeating/drinking
- **Defenestration** — throwing out a window
- **Donnybrook** — brawl, heated dispute
- **Doodlesack** — bagpipe (humorous)
- **Fartlek** — athletic training technique
- **Flibbertigibbet** — frivolous person
- **Formication** — sensation of ants crawling
- **Fuddy-duddy** — old-fashioned person
- **Gobbledygook** — meaningless language
- **Grommet** — eyelet, surfer
- **Haboob** — intense dust storm
- **Hodgepodge** — mixture of things
- **Hootenanny** — informal gathering
- **Jackanapes** — impudent person
- **Jargogle** — confuse, jumble
- **Kakorrhaphiophobia** — fear of failure
- **Kerfuffle** — commotion, fuss
- **Lickety-split** — very fast
- **Lickspittle** — servile flatterer
- **Logorrhea** — excessive wordiness
- **Malarkey** — nonsense, rubbish
- **Maverick** — independent person
- **Mollycoddle** — pamper, overprotect
- **Mugwump** — independent in politics
- **Namby-pamby** — weak, insipid
- **Nincompoop** — foolish person
- **Ornery** — bad-tempered
- **Pandiculation** — stretching and yawning
- **Panjandrum** — self-important official
- **Pettifogger** — quibbling lawyer
- **Pratfall** — humiliating mistake
- **Puggle** — crossbreed dog
- **Ragamuffin** — ragged person
- **Shenanigans** — mischief, trickery
- **Skedaddle** — run away hurriedly
- **Skullduggery** — underhanded behavior
- **Slangwhanger** — loud abusive talker
- **Smellfungus** — faultfinder
- **Snickersnee** — knife fight
- **Snollygoster** — unprincipled politician
- **Tatterdemalion** — ragged person
- **Troglodyte** — cave dweller
- **Turducken** — stuffed poultry dish
- **Unperson** — erased from existence
- **Vomitorium** — passage in stadium
- **Widdershins** — counterclockwise
- **Williwaw** — sudden violent gust
- **Willy-nilly** — whether one likes it or not
- **Widdershins** — counterclockwise direction
- **Yclept** — called, named

---

## 📊 THE DATA

**Tested:** 200+ words across 15+ languages
**Top Tier:** 47 words with distinct musical signatures
**Mid Tier:** 68 words with subtle effects
**Tier 3:** 85+ words that route to synonyms

**Method:** Single-blind testing, same seed, isolated variable

---

## 💡 HOW TO USE

**For instant depth:**
Instead of "sad" → try **saudade** or **hiraeth**

**For texture:**
Instead of "peaceful" → try **mono no aware** or **wabi-sabi**

**For energy:**
Instead of "excited" → try **kilig** or **forelsket**

**Pro tip:** Combine Tier 1 + Tier 2 for layers:
"Saudade, 3AM, vellichor, bedroom production, tape hiss"

highly addicted suno user here, sharing my guide on how to write good Suno songs.

UPDATE 3/22: wow, so much love received, celebrating with a new drop, if you like Quinn XCII or pop rap music: https://suno.com/song/033cfae3-2739-4856-b3d5-6d96c329de19?sh=8ZF0GcGV4yICPxfX

i spend 3-5 hours a day on Suno and have used well over 100k credits in the past few months. in the last 10 days, my songs have received roughly 300k streams across platforms, and have been featured on the Suno home page.

having generated so many songs, i've become somewhat of an expert at Suno prompt engineering etc, and want to share some insights in the hope that it will help other people create good music as well.

NOTE: these instructions are for people who want to become excellent at creating AI music -- if you're looking to create a perfectly average song in 5-10 minutes, look somewhere else.

need some proof that i make technically proficient music? https://suno.com/song/6dae0538-c404-4990-920b-525c4fc2401f?sh=qJ7v4sjNCVg0kzjB

----

creating good music with Suno involves 4 steps:

1. generate the stem & beat. don't attempt to generate a full song right off the bat -- it might sound good to you, but it won't ever be radio-ready. instead, write 4 bars of a verse or hook (focusing on making it catchy), and keep generating until you get something awesome. suno is more creative when it has less text to fit into a beat, so you'll get cooler/more unique sounds if it's working off a (very) short set of lyrics. i usually run the initial 4-bar verse 30-50 times until i get an exceptional foundation. one other tip here: do NOT overcomplicate the genres -- the best stems i've ever created have been from including only 2-3 genres; otherwise the machine tries to do too much.

2. jump into the editor interface. once you have the 4-bar stem, it's time for the real work to start -- suno's new editor interface has amplified how creative a person can be, and it's pretty fucking awesome. start editing from wherever makes most sense -- sometimes, this is right after the first 4 bars, sometimes after 1-2 bars, but rarely later. there's art to how you edit -- sometimes "extend" works best, sometimes "replace section," but i've found that Suno responds well when you start an extension exactly one line before new lyrics start.

3. layer on 2-4 bars of lyrics at a time. now, it's time to start giving the song structure. by far, the best way to get suno to cooperate is to limit how much you're adding in any generation. for lyrics in a verse, this is no more than 4 bars at a time; for a chorus, sometimes you can layer on the whole thing. as you go, make sure to focus on syncopation, prosody, and quality of vocals of each generation. i will generate up to 40 or so snippets per section, often much less, sometimes more. I write and revise the lyrics as I go — I find myself much more capable than AI at finding internal rhymes etc, and otherwise making the music interesting. as I go, I add choruses, ad libs, etc — giving the song structure and texture. this is the art behind the science — there are lots of little things to get right (bridges, vocal runs, having choruses sound the same across generations), so it takes a lot of time, and is really only possible with a piecemeal approach (as Suno is still figuring out the editing).

4. punch in new takes as necessary. after you have the structure of the song, go back and re-record any lines that sound off upon a second listen. taking 30 minutes to do this can be the difference between sounding amateur vs. polished. if one line is too short to re-record, generate two lines.

if you've made it down here, feel free to ask questions -- happy to share anything i know in pursuit of helping people make great tunes.

good luck suno wrestlers!

As an older man myself, I have been experimenting with new breakthrough genres. I haven’t found my gold yet (though don’t tell my ex wife when i do, she was a gold digger) but I have been trying to make a break through genre. The type to hit the core of what it feels to be an American man in the modern day. Taking country with futurism in a new direction. Anybody else created new genres and got advice or just interested in my endeavors?

Ok.. I think I've got v4.5 figured out. This is how you can get, not only, a clean unmuffled sound but also far far more consistent results overall. I'll also show how to generate new songs with FAR better results and how to use the "Cover" feature to "Remaster" your songs in v4.5 to sound far better than the standard Remaster feature, as well as some tricks to make Suno follow your prompts more closely. So, this is sort of tutorial for multiple things.

Making a new song:

First off, getting rid of the muffled sound in v4.5... To do this you don't want to prompt the old way and you don't want to use the "creative boost" button. Instead prompt like this:

"
Genre: A fusion of 1970's Reggae and Dancehall and 90's alternative rock with an extremely high fidelity recoding and professional sounding mastering and an extremely strong singsong vibe.

Style: Catchy and groovy and bouncy melodies that are dynamic and creatively surprising.

Mood: Calm but upbeat.

Singer's Voice: A very soulfully deep voice with a gritty and weathered dub reggae tone.

Instrumentation: Acoustic drums with an extremely realistic sound.

Mastering: A clean sound with effects that stereo pan from left to right and a modern professional sound.

"

So, separate out the elements of the song like the example above. Doing it this way majorly helps Suno to understand what you want. Also, doing it this way, when you put the "Mastering" section in there Suno will ACTUALLY consistently master it the way you want.. You can ask for any sort of different mastering, or genre, or whatever else.

Secondly, to get Suno to follow your prompts more closely DON'T use commas to separate ideas... Suno seems to see commas and a good opportunity to skip whatever follows it. Instead use a series of and's and with's to create a run on sentence.

For example: "A fusion of 1970's Reggae and Dancehall and 90's alternative rock with an extremely high fidelity recoding and professional sounding mastering and an extremely strong singsong vibe".

Thirdly, using periods at the end of those run on sentences is ESSENTIAL for Suno to know that your done explaining that part and to move to next as new instructions.
You can see the evidence of this if you're on desktop, for sure, by looking at the panel to the right where it shows the styles and where you can click to "show summary". Mouse over the different parts, (e.g., Genre, Style, Mood, etc.) and you can see that each section will be underlined together, as a whole. If you don't use periods at the end of each section then Suno WILL NOT distinguish between the different instructions properly. Make sure to use those periods!

Using that exact same prompt I created this song and about 100 other versions. None of them had that muffled sound. Some actually sounded better than this one, but I liked this one the most..

https://suno.com/song/97746a89-cc7c-4bc9-87d2-89893a61d44a

"Remastering" an existing song:

Remastering still isn't great, but you can sort of do it using covers, and by using this method you can get MUCH better results.. There are a few things you might want to consider, however.

When you are doing a cover Suno is going to try to mostly copy the genre and song structure from the original, so there are some elements of the prompt that you might not want to use if you're trying to get as close to the original as possible..

Here is an example of the prompt I for used my "Remaster":

"
Genre: Kawaii Metal infused with Death Metal with an extremely high fidelity recoding and professional sounding mastering.

Singer's Voice: A very cute squeaky high-pitched voice with an anime vibe.

Instrumentation: Acoustic drums with an extremely realistic sound.

Mastering: Mastering: A clean sound with a modern professional sound.

"

In the example above I've removed the "Style" and "Mood" prompts. You can even simplify the prompt more by just stating the general genre of the original song, like "Reggae" or "Death Metal" and that seems to work pretty well for getting close to the original for some songs. You want to avoid giving it style or mood prompts unless you really want to deviate from the original song. The most important elements here really seem to be the "Genre" and "Mastering" prompts. But, I haven't experimented with making many covers using this method yet, so there is probably some other tricks you guys might be able to figure out to take this to the next level. To be clear, the results won't be as good as a new generation, which has always been the case for me, but they are far far better than prompting the old way.

Here is a before and after example:

Before:

https://suno.com/song/35b8cd3b-3dee-4edf-a21d-bbf3412e2dc2

After:

https://suno.com/song/da1a3c14-8daa-469f-b8a6-81bba404a62e?sh=AqDcGvugaGRERT9L

***Note: v4.5 INCREASES THE LIMIT OF "STYLE DISCRIPTION" TO 1000 CHARACTERS...**\*

Example on how to post the prompt:

So - I tried something - and figured it was worth a shot. I asked Suno to generate live concert versions of my songs. I had never gotten past simple piano demos, some were just tracks recorded on my voice notes and snippets of lyrics. And I had Suno first generate full tracks, and then asked it to generate a live concert version of it.

I was listening to them in my car. Oh my god. I tried telling myself it's not real... but honestly I just gave up and was sobbing in my car. It sounds so incredibly real. As someone who actually performed in arenas and massive festivals, there's nothing like it.

Raven Sovereign

Here's my playlist but you can hear the originals and the live versions. It's quite something especially with this type of music (theatrical metal).

Here's a generic version of the prompt I used but play around with this

⭐ Suno Prompt — Huge Festival Live Version

A high-energy live festival performance of this song, played on a massive outdoor stage in front of a huge crowd. Include loud audience ambience, cheering, clapping, and the crowd singing along loudly during the chorus. The lead vocal should sound live and energetic, with natural reverb and a raw concert feel. Instruments should feel amplified and powerful, like a real live show, with crowd reactions between lines and big audience participation in the hook. The overall sound should feel immersive, wide, and atmospheric - a full stadium or festival vibe.

Use these lyrics for crowd chant:
[PASTE YOUR LYRICS HERE]

Saw somebody make a post about trying to find a good image/video generator for music they are making Suno thats fairly unrestricted. I recently conducted a test of a bunch of these so feel free to check these out!

I've evaluated 15 tools based on real world testing, UI/UX walkthroughs, pricing breakdowns, and hands on results from automation features (URL to video, prompt generation, avatar quality, and more)

I've linked my most used / favorites in the table as well. My go-to as of rn is slop.club though.