How to Get Instrumental Music on Spotify Playlists in 2026

Vocal-first playlist advice skips instrumental tracks. Here's how to pitch instrumental music to curators by instrument — and collect what placements earn.

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How do you get instrumental music on playlists?

Submit it to curators who actually program instrumental music, and pitch it by instrument rather than by genre. Most playlist advice is written for songs with vocals — pitch your "hook," lead with your "story," hope the algorithm notices — and almost none of it fits a solo piano piece, a guitar instrumental, or an ambient cello track. The shortest path for instrumental artists is a curator who was already looking for your instrument. That is a much smaller, much warmer market than the general playlist economy, and it is reachable without a pitch budget.

Here's how to work it — and the part that goes unmentioned, which is that a placement only earns you money if the paperwork behind the track is in order.

Why instrumental artists get skipped

The standard playlist playbook assumes a vocal. "Front-load the hook in the first 15 seconds" is advice about a voice entering. "Lead with your narrative" assumes lyrics to have a narrative about. An instrumental track that opens with 40 seconds of deliberate space isn't failing that test — it was never taking the same test.

Two structural problems sit on top of that:

Instrumental music is functional listening, and functional listening is where the AI flood landed. Deezer reported that AI-generated tracks made up 44% of daily uploads in April 2026 — roughly 75,000 tracks a day — and crossed 50% by July. No platform publishes a breakdown of AI share by genre, so nobody can honestly tell you what percentage of "piano study music" is machine-made. But the incentive is not subtle: background and focus music is the easiest thing to generate convincingly, because there's no voice to give it away. That's the same shelf your instrumental release competes for.

The platforms responded with filters, not volume caps. Deezer excludes AI-tagged tracks from algorithmic recommendations and editorial playlists entirely. Spotify began rolling out AI Persona labels in August 2026, with badges appearing from mid-September, and keeps labelled profiles out of editorial, algorithmic, and personalised recommendations by default.

Read that as an opportunity rather than a threat. Being demonstrably human, with a real performance and a real name attached, is now a sorting advantage. The catch is that automated discovery is exactly where that advantage is hardest to prove — which is why human curation matters more for instrumental artists in 2026 than it did in 2023.

What instrumental curators actually listen for

Curators who run instrumental playlists tend to screen on craft and fit, not on follower count:

What they checkWhat that means for your pitch
The first 20–30 secondsNot a "hook" — a reason to keep listening. Intent, tone, space.
Mix and master qualityInstrumental music has nowhere to hide. Muddy low end, harsh top, or a noise floor kills it faster than a weak melody.
Consistency of moodPlaylists serve a use-case (study, sleep, focus, dinner). A track that shifts mood at 2:10 breaks the sequence.
Correct instrument taggingIf your lead instrument is cello and your metadata says "electronic," the right curator never finds you.
Whether you read the playlistA pitch that fits an actual playlist beats a pitch sent to 200 of them.

That last row matters more than it looks. Fit is the filter — a pitch aimed at a playlist that genuinely programs your instrument gets read, and a generic blast to two hundred playlists gets recognised as a copy-paste in a community this small. Targeting is the point, not effort for its own sake.

Pitch by instrument, not by genre

This is where a platform built for exactly this problem helps. InstrumentaList is a submission platform for instrumental music, and its stated mission — "celebrating human musical art & heart" — tells you what it's positioned around. Rather than a general pitch tool, it organises instrumental playlists across Spotify and Apple Music by instrument, and lets you submit to the human curators who run them. Its own line for this is "connect with human playlist curators on Spotify and Apple Music."

The instrument taxonomy is the genuinely useful part, because it goes well past the obvious four. Alongside grand, acoustic, and felt piano, acoustic and electric guitar, violin, cello, and synth, there are playlists for flute, saxophone, harp, trumpet, trombone, banjo, mandolin, ukulele, accordion, kalimba, handpan, steel drum, and orchestral arrangements. If you play something that general playlist tools have no category for, that's the difference between being findable and being invisible.

Practically, that means:

  • You can browse playlists that program your specific instrument, instead of guessing which general playlist might tolerate an instrumental.
  • Submissions reach human curators rather than an algorithmic void.
  • You can start free, and the paid tiers add targeted automation — weekly submissions to playlists you're eligible for — plus a One-Click Pitch™ to a wider curator database on the top artist tier.
  • There are separate tiers for curators and for labels managing a roster, so the pitching side and the programming side live in the same place.

Two honest notes on that. Automation here isn't the spray-and-pray I warned about above — the submissions go to playlists filtered for fit, which is a different thing from blasting every curator with an inbox. And their paid tiers do include GenAI tools for artwork and marketing, which is worth separating clearly from the AI-music problem: generating a promo image is not the same as generating the music. Their "human musical art" positioning is about the performance, and that's the part that matters here.

Pricing moves, so check their pricing page rather than trusting a figure in a blog post.

Why we're pointing you there. Alex, who runs InstrumentaList, emailed us out of the blue because he liked that we help artists find the money they're owed. We got on a call, he went through our product and gave us genuinely useful feedback, and we agreed to send artists toward each other's work. To be clear about what this is and isn't: no money changed hands, we don't resell InstrumentaList, and none of their data feeds our scan. We're recommending them because they built the right thing for instrumental artists, and because there isn't much else aimed squarely at this niche.

Placement isn't payment

Here's the part that costs instrumental artists the most money, and it has nothing to do with pitching. A playlist placement generates streams. Streams generate royalties. But those royalties arrive through two entirely separate systems, and an instrumental release can be invisible to one while doing fine on the other:

  1. The work was never registered. The recording went live, the composition never got filed with a PRO or the MLC. Streams accrue mechanicals with no owner attached, and the money sits in the unmatched pool — the black box.

  2. No ISWC, or no link between recording and work. If nothing connects your ISRC to a registered composition, matching systems can't route the money to you.

  3. Session players are undocumented. The violinist on your track may be owed a performer share that nobody ever recorded.

  4. Sync and library placements without cue sheets. Instrumental music is the default choice for film, TV, ads, podcasts, and games. Performance royalties for those uses flow off cue sheets. No cue sheet, no payment — and you may never learn it aired.

  5. Every version is its own registration problem. The stripped-back edit, the extended mix, the "sped up" upload — each recording needs to point back to the same work. None of this gets fixed by better pitching. It gets fixed by checking what's registered against what's actually earning, which is what our royalty scan does across the MLC, the PROs, and SoundExchange.

The instrumental artist's checklist

  1. Tag your lead instrument correctly. everywhere — distributor metadata, your pitch, your artist profile. Curators filter on it.

  2. Pick playlists whose use-case your track genuinely serves. Ten considered pitches beat two hundred generic ones.

  3. Pitch by instrument. , through a platform that sorts curators that way.

  4. Register the composition. , not just the recording — PRO and MLC, with an ISWC where you can get one.

  5. Document everyone who played. , before you forget who did what.

  6. File cue sheets. for any sync, library, or production-music use.

  7. Audit what's actually landing. Run a free scan and compare registered works against earning recordings.

FAQ


Yes — exactly the same royalties as songs with vocals. An instrumental composition earns performance royalties through your PRO and mechanical royalties through the MLC, and the recording earns streaming income plus SoundExchange payments for non-interactive plays. Lyrics play no part in whether a work qualifies.


Two routes, and use both. Pitch unreleased tracks to Spotify's editorial team through Spotify for Artists at least a week before release, and submit to the curators who run their own instrumental playlists — a platform like InstrumentaList sorts those curators by instrument, so you can find the ones that actually cover your sound.


AI tracks crossed 50% of Deezer's daily uploads in 2026, and they cluster in background and functional music where there's no vocal to give them away. No platform publishes AI share per genre, so treat any precise figure for your niche with suspicion. What is documented: Deezer and Spotify both keep labelled AI music out of recommendations and editorial playlists, which works in favour of human performers.


Not by itself. The streams generate royalties, but the composition side only reaches you if the work is registered with your PRO and the MLC and can be matched to the recording. Unregistered works accrue money into the unmatched pool instead of reaching the writer.


Compare what's registered against what's actually earning — across the MLC, the PROs, and SoundExchange. SongBounty's scan does that automatically; you can start free, no credit card required.

About the author

The SongBounty royalty research team works on the data behind the scan — matching recordings to registered works across the MLC, the PROs, CISAC societies, and SoundExchange, and tracking where independent artists' money goes missing.

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