Everyone Says Your Song Is Good. Here's How to Get the Honest Answer.
October 19, 2026 · 7 min read
Where song feedback comes from — ranked by how honest it is
A ranking, not a measurement. The ones at the top are kind. The ones at the bottom can come back bad — which is the only reason their good news means anything.
The short version
Never ask "is it good?". Ask "at which second would you skip?". The first question gets you politeness. The second one has an answer, it's hard to be nice about, and it's the thing you actually needed to know.
Chatbots are built to agree with you. Give them a strict role and a checklist. Asked nicely, a chat AI tells you the song is great. Copy the prompt further down and it has to score five specific things and name the biggest problem first.
Strangers beat friends. Numbers beat strangers. A tool that measures the audio has no reason to be nice. The same file always gets the same result, and it takes about a minute.
A score is only honest if it can come back bad. Look at where your song ranks, not at the number. On Songbrain the middle song of 659 measured indie songs scores 77 — so a 77 is average, not great.
Get the answer that isn't polite
Hook strength, audio quality and lyrics quality, each with where you rank, your three strongest seconds and the loudness check. About a minute.
First song free, no account · signup adds 25 credits, one more analysis
Why the feedback you get is useless
Most artists have the same experience. You finish a song, send it to five people, and get back "fire", "love it", "the vibe is crazy". Then you release it and nothing happens.
Nobody lied. They answered the wrong question. "Is it good?" is a question about you, not the song, and people who like you will always pick the kind answer. It costs them nothing and tells you nothing.
Honest feedback is specific. It names a second, a line, a section. If the feedback would fit any song, it's politeness. That one test sorts almost everything you will ever hear about your music.
Six places to get feedback, from kind to honest
Good: Fast, free, and they will actually listen to the whole thing.
The catch: They are answering you, not the song. "It's really good" ends the conversation politely — they would say it about anything you made.
How to use it: Ask the skip question below, never "is it good?".
Good: Instant, patient, and good at explaining structure and lyrics.
The catch: Chat models lean towards agreeing with the person they are talking to. In April 2026 someone sent ChatGPT a file of fart sound effects as "my music" and got praise for its "lo-fi, late-night vibe" — the story went round Gizmodo and PC Gamer. If the chat can only read your lyrics, it is judging lyrics, not the song.
How to use it: Give it a harsh role and a fixed rubric — prompt below.
Good: Real strangers with real taste, often other musicians.
The catch: Most people listen for a few seconds and answer with their own genre preferences. Musicians hear craft; your audience does not.
How to use it: Ask for the timestamp where they lost interest, not a rating.
Good: The most honest human signal there is: the second someone reaches for the skip button.
The catch: Hard to organise, and you only learn where the song fails, not why.
How to use it: Play eight seconds to someone who doesn't know it's yours and watch their face, not their words.
Good: No feelings involved, same file gives the same result, and it takes about a minute. Good ones show where you rank against other songs.
The catch: They measure what can be measured — hook placement, loudness, structure. Whether the song moves people is not in the file.
How to use it: Use it to compare versions and to catch the technical problems before anyone else hears them.
Good: What people actually did: watched to the end, replayed, shared, scrolled away.
The catch: It only exists after you release, and one post is noise — the video and the timing matter as much as the song.
How to use it: Post the same song with two or three different clips and compare watch time.
The one question to ask people
Play the song and say: "Stop me at the exact second you'd have skipped."
It works because it's a task, not a judgement. Nobody has to tell you your song is bad — they just have to say a number. And if three people stop you around the same second, you've found the problem without anyone being rude.
Two follow-ups, if they made it through: "Which part would you play to a friend?" (that's your hook — maybe not where you think) and "Is there a line you remember?"(if not, the lyrics aren't carrying the song).
The prompt that stops ChatGPT flattering you
Chat assistants are useful reviewers once you take away their urge to please. Paste this before you upload the song or the lyrics. It works the same in ChatGPT, Claude and Gemini.
You are a strict A&R reviewer. You do not know me and you gain nothing from being nice. Review this song against these five points and give each a score from 1 to 10: 1. Does something happen in the first 5 seconds that makes a stranger stay? 2. Where is the hook, at what second does it first arrive, and is that too late? 3. Is there one line in the lyrics people would quote? Name it or say there is none. 4. Which section is the weakest, and what exactly makes it weak? 5. Would you add this to a playlist next to the best songs in its genre? Yes or no, and why. Rules: no compliments unless they are specific. Name the single biggest problem first. If you cannot hear the audio and only see lyrics, say so and judge only the lyrics.
Why this works: the role removes the friendship, the five points stop it from talking about "the vibe", the scores force it to commit, and "name the single biggest problem first" puts the critique where it can't be buried under compliments. Ask it twice — if the two answers disagree, neither is worth much.
What measured feedback looks like
Measurement is the other honest option, and the fastest one. Here is what Songbrain gives you from one upload, stated plainly so you know what you're getting:
- Three part scores — hook strength (45% of the total), audio quality (35%) and lyrics quality (20%). Instrumentals are scored on hook and audio only.
- Where you rank— each part gets a "Top X%" chip against the songs already measured. For the total score, the middle song gets 77 and the top 10% starts at 85, so you can see whether you are average, not just a number.
- The weak spot, marked — inside each part, the lowest sub-score (for example structure, vocals or wordplay) is drawn in red when it falls below 60.
- Your three strongest moments — with the timestamp and one sentence on why that clip hooks a listener.
- The loudness check— how many dB Spotify, YouTube and Apple Music will turn your master down, or a tick if it's fine.
- BPM, key and what the song is about— the meaning line is hidden when the model isn't confident, rather than guessed.
What it does not do:it doesn't write you a paragraph of critique or tell you how to fix the mix. It is a rating of the song against a fixed rubric, not a prediction — no trend data, not trained on streaming outcomes, and the same file always gets the same score. If you want a written review, pair it with the prompt above.
The most honest test of all: compare versions
A single score is easy to argue with. Two scores side by side are not. If you have a V1 and a V2, or three songs and one release slot, upload up to five at once — free, no account — and you get them ranked, with the strongest moments of each. That answers "did the new mix actually help?" in a minute, and it doesn't care which one took you three weeks.
Then do the last honest thing: release, post the winner with two or three different clips, and believe the watch time over the comments.
FAQ
Stop asking whether it is good and ask questions that have an answer: at which second would you skip, where is the hook, which line would you quote. Get those answers from people who don't know you, run the track through a tool that measures the audio and shows where it ranks against other songs, and when you release, post it with two or three different clips and compare how long people watch. Friends are the least honest source, posting data is the most honest.
Not by default. Chat assistants lean towards agreeing with the person they are talking to — OpenAI rolled back a ChatGPT update in April 2025 because it had become too flattering, and in April 2026 ChatGPT praised a file of fart sounds sent in as "my music". You get more honest answers if you give it a strict reviewer role, a fixed list of things to score, and tell it to name the biggest problem first. If it can only read your lyrics, its feedback is about the lyrics, not the song.
Three free options that do not depend on anyone being nice: a skip test with strangers (play eight seconds, watch their reaction), a measurement tool such as Songbrain, where the first song is free with no account, and the analytics of a short-form post once the song is out. Feedback groups are free too, but ask for timestamps, not ratings.
If the feedback could apply to any song, it is politeness. "It's catchy" and "great vibe" are exits, not opinions. Honest feedback is specific: a second, a line, a section. Ask for something specific and see whether the person can give it to you.
It depends what kind. A chat model writing a review is giving an opinion, and it can change if you ask again. A tool that measures the audio gives the same result for the same file, and the better ones show the reason behind every number and where your song ranks against others. Neither can tell you whether a song will move people — that only shows up after real listeners hear it.
Yes. On Songbrain you can upload up to five songs or versions at once without an account, and you get them ranked by score, each with its strongest moments and the three part scores (hook strength, audio quality, lyrics quality). It is the quickest honest answer to "is V2 actually better than V1".
Feedback that can come back bad
Three part scores with where you rank, your strongest seconds and the loudness check. First song free, no account.
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