Send your track to a panel of 100 AI listeners — each one a real demographic, each one with their own taste. They tell you what they'd save, share, or skip. One honest verdict, sent straight to your inbox.
Our panel isn't a crowd of generic AI personas. Each listener is built from 1,500 representative US demographic profiles — age, gender, race, region, income, education — paired with the music they'd actually listen to, derived from real listening behavior. The 25-year-old in Atlanta really listens to what 25-year-olds in Atlanta listen to. We've been refining how AI agents represent real audience taste for years — HitCheck is what happens when you point that panel at music.
Real A&R works because the people giving feedback know who listens to what. A country song doesn't get judged by someone who hates country. A trap demo doesn't get scored by a 70-year-old who hasn't heard a hi-hat roll in their life. The verdict comes from people who'd actually press play.
Our panel works the same way. Each listener is built from real demographic and listening behavior. The 25-year-old hip-hop fan in Atlanta sounds like a 25-year-old hip-hop fan in Atlanta. The 32-year-old indie head in Seattle sounds like one. Nothing about it is generic — and we send your song to the listeners it was plausibly made for, not random Americans.
And before we'd ever charge for a verdict, we made sure the panel actually gets music. We feed it real charting hits and real forgotten flops. The hits score high. The flops don't. If they ever stopped working that way, we'd know — and we'd fix it before anyone else found out.
What comes back to you is the kind of feedback a smart A&R rep would give you — except it's a hundred of them, each one a different real listener, and none of them get coffee breaks.
We grade the song, not the recording. Mix sheen and vocal timbre aren't in scope — a bedroom demo and a $200K production of the same song should score similarly here. That's a feature.
Built by the team at xpolls.ai. Methodology for the curious at ask.xpolls.ai.
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One track per month. Get a read from your core audience before you commit to the full panel.
Full report. Your target audience plus a crossover sample to test reach beyond your core fans.
// CREATOR ($29/mo unlimited) + PRO ($99/mo sync-licensing panel) coming Q3 2026.
Correct. Each listener is a digital twin — an AI agent modeled on the demographics and real listening behavior of an audience segment. We tell you that upfront because the alternative (pretending we've got actual humans reviewing your demo at 3am for ten bucks) would be a lie. The panel architecture has been pressure-tested across hundreds of thousands of evaluations on other xpolls products. HitCheck is what we built when we pointed it at music.
The bones of the song — composition, hook timing, energy, lyrical themes, where it sits in genre and era — weighed against each listener's actual listening behavior. We grade the song, not the recording: mix sheen, vocal timbre, mastering quality — none of that is in scope here. A bedroom Logic session and a $200K Capitol Records production of the same song should score similarly. Details for those who want them at ask.xpolls.ai.
Target score is how your core audience reacts — the listeners who'd actually press play. Crossover is how it reads to people outside your core who occasionally venture into your genre. A song scoring 85 in target and 30 in crossover is a genre hit — strong in its lane, unlikely to break out of it. A song scoring 75 in both is a different beast: not as dominant in its niche, but likely to cross. Both are wins. They just get pitched to different rooms and want different release strategies.
We'll recognize it. The first thing we do on every submission is run a fingerprint check against the major commercial catalogs. If your track is already charting, we'll tell you what it is, what it peaked at, and offer to run the panel anyway as a calibration check. (Try it — it's a useful way to see what scores the panel gives to songs you already know.)
Yes — and arguably it's the best use case. AI music tools generate dozens of tracks per session. HitCheck tells you which of your generations is worth refining, which is worth releasing, and which to discard. We flag Suno-sourced tracks in the report so you know we know.
Results delivered by email — usually within a few minutes, sometimes longer when the panel is busy. You don't need to keep this page open; we send the verdict link as soon as it's ready. We'd rather take the time and get the panel's judgment right than rush it through.
No. Your uploads are processed for analysis only, stored long enough to deliver your report (30 days), then deleted. We don't train models on user submissions. Period.
If our fingerprint check returns a medium-confidence match, we'll ask you. "This resembles 'X' by 'Y' — is this a cover, interpolation, or your original?" Then we proceed based on your answer. We're not in the business of falsely accusing songwriters of bootlegging.
HitCheck is built by xpolls.ai. We've been refining digital twin panels for years — modeling how real audience segments respond to real things. HitCheck is what happens when you point that panel at the only question every songwriter, A&R rep, sync supervisor, and producer is really asking: is this one going to land? Don't trust us on faith — feed it something you already know is a hit (a recent Top 40, a #1, whatever) and see if the panel reads it as one. If we get that wrong, we don't deserve your $9.99.