How to Detect Bot Playlists on Spotify Before You Pitch

A botted playlist can look great from the outside. It has thousands of followers, a polished cover and a tempting stream count. But the plays come from scripts or networks of accounts, not people who chose your song.

That matters for three reasons.

It does nothing for your career. Bots do not save tracks, follow artists, buy tickets or share songs. You get a number on a screen and no audience behind it.

It puts your catalog at risk. According to guidance from the European independent label body IMPALA, artificial streaming can lead to content removal, release restrictions or financial penalties, and affected tracks may be excluded from charts or editorial opportunities.

It can cost money. The same guidance notes that in April 2024 Spotify began charging labels and distributors a monthly €10 penalty for each track with significant levels of artificial streaming. Distributors often pass such charges on to the artist, which is why a cheap "guaranteed streams" offer can end up expensive.

The damage can also happen without your consent. If a playlist you were added to is being artificially streamed, your track can be caught up in it. Prevention starts with checking before you pitch.

The warning signs of a bot playlist

Professional guidance on streaming manipulation lists a consistent set of signals. According to IMPALA, signs include sudden spikes in streams or followers, unusual geographic patterns, high streams from unknown or low-quality playlists, and repetitive listening with unusually low skip rates. Here is how those translate into things you can actually see.

Follower growth that looks like a staircase

Real playlists grow unevenly: a slow climb, a bump when a track goes viral, a plateau. A sudden jump of thousands of followers in a short period is the classic red flag, and so is growth that then flatlines for months.

Spotify does not show a follower history chart on public playlists, so you need an outside view. Check whether the playlist's follower count has been captured over time by a tracking tool, or compare the number today with what you saw a week ago. If you are screening many playlists, a free Spotify playlist bot checker saves you from doing this by hand.

Followers with no engagement

A playlist with 40,000 followers and tracks that have a few hundred monthly listeners each is out of balance. Look at the artists already on the playlist. If every track sits at a similar low listener count while the playlist claims a large audience, the audience probably is not real.

Also check the playlist's own profile. A curator account that follows no one, has no other playlists and no public activity is a weaker signal than a long-running profile with a visible history.

Listener locations that do not fit the music

This is one of the most useful checks once you have data. An English-language indie folk playlist with listeners concentrated in a handful of cities with no cultural link to the genre deserves a closer look. Clusters of listeners from the same unexpected places, repeated across several artists on the playlist, suggest coordinated streaming.

The place to see this for your own music is Spotify for Artists, where you can view listener locations and the sources of your streams after a playlist add. If a playlist drives thousands of streams from one unlikely country and none of those listeners show up in your followers or saves, that is the pattern to question.

Repetitive listening and very low skip rates

Humans skip. They hear half a song, move on, come back later. Streams that always run to the 30-second mark and never skip, from accounts that play little else, look automated. You cannot see skip rates on someone else's playlist, but you can see the effect on your own: a spike of streams with no growth in monthly listeners, saves or followers.

A track list with no concept

Curated playlists have a point of view: a mood, a genre, a moment. A bot or pay-to-play playlist often looks like a random collection of songs across unrelated genres and languages. According to a vetting guide from the music marketing company Dynamoi, a playlist should have a coherent concept rather than a random collection of songs.

A manual check in 10 minutes

Before you run any tool, spend ten minutes on the playlist itself. Work through this order.

1. Read the title and description. Does it describe a specific mood or genre? Or does it promise streams, followers or "guaranteed" anything?
2. Scan the first 20 tracks. Do they fit together? Are they by artists with real, if small, audiences?
3. Look at the update pattern. Real curators add and remove tracks. A list that never changes, or that changes in bulk at odd intervals, is worth noting.
4. Compare followers to listener numbers. Check the monthly listeners of several included artists against the follower count.
5. Find the curator elsewhere. Search the name on Instagram, TikTok, a blog or a website. Do they exist outside Spotify?
6. Look for a way to contact them. A real curator usually has a professional email, a submission form or a social handle.

If the playlist fails two or more of these, move on. There are plenty of smaller, honest playlists that will do more for you.

Use a bot checker, and know its limits

Bot checkers read public data about a playlist and score how likely it is to be inflated. They are fast and they catch obvious cases. They have limits.

According to a guide from the music technology company LANDR, third-party bot-checking tools can help identify problematic playlists, but they are not 100% accurate and cannot by themselves prove a playlist is bot-free. The sensible reading: a bad score is a reason to walk away, while a good score is a reason to continue checking, not to relax.

Our own scanner at Playlist Pilot is free. Paste in a playlist link and you get a read on whether listeners and followers look real, before you spend time or money pitching. For a deeper walkthrough of how scores work, see our guide to a playlist checker for spotting real versus fake playlists.

How to read a result

The last row matters most. A service that guarantees specific stream, save or placement numbers is a problem regardless of what a scanner says. According to the Dynamoi vetting guide, such guarantees often violate platform policies.

Vet the curator, not only the playlist

A playlist can pass a scan today and still be run by someone you should not work with. The curator is half of the equation.

The Dynamoi checklist suggests looking at whether the curator is consistent across social media and can clearly describe their audience. In practice, ask yourself:

• Does the same name and photo appear on Spotify, Instagram and a website?
• Is there a professional contact address, or only a payment link?
• Can they tell you who listens, in plain words? "Late-night lo-fi listeners in the US and Germany" is an answer. "Everyone" is not.
• Do they ask for money in exchange for a placement? Some curators accept a fee for a review, but a fee for a promised add is a red flag.
• Do they talk about music, or only about numbers?

A useful habit is to build a short list of curators whose taste matches your sound and whose work you have followed for a few weeks before you ever send a message. The same discipline applies when you plan your release schedule: the 4-week plan to distribute music on Spotify is a good reminder that outreach and vetting belong in your timeline, not at the last minute.

Once a curator checks out, you need a way to reach them. Our guide on how to find Spotify curator emails and verify leads covers that step, and our post on Spotify playlist scams shows the fifteen-minute version of this whole vetting routine.

Check your own data after a playlist add

Vetting does not end when a curator says yes. After an add, open Spotify for Artists and watch what happens over the following two to three weeks.

Healthy signs:

• Streams from the playlist rise gradually.
• Listeners from that playlist also show up as saves, follows or plays from your artist profile and their own libraries.
• Listener locations broadly match the playlist's stated audience.

Warning signs:

• A large spike in streams within a day or two, then a drop.
• Thousands of streams with almost no new followers or saves.
• A concentration of listeners in one or two unexpected countries.

Dynamoi makes a related point: look for lift in active sources such as your artist profile, listeners' playlists and the library, not only in programmed contexts. Streams that lead to real follow-on behavior are the ones that count.

Keeping a record makes this much easier. A simple tracker with the playlist link, the date of your pitch, the date of the add and your stream numbers each week will show you which playlists actually move the needle. Our playlist submission tracker is built for that.

What to do if you land on a bot playlist

If the numbers look wrong, act quickly and calmly.

1. Document everything. Save screenshots of the playlist, your Spotify for Artists stats, the dates and any messages with the curator. IMPALA advises artists to document promotional activity, playlist placements and audience engagement before reporting.
2. Contact your distributor first. They are the ones who receive notices and penalties, so they need your side of the story early. Our guide on triaging fake Spotify streams and contacting your distributor lists what to include in that message.
3. Report suspected manipulation to the streaming service. The same guidance recommends sharing evidence with the platform and your distributor.
4. Ask the curator to remove your track. A legitimate curator will usually agree. One who refuses is telling you something.
5. Stop paying whoever arranged it. If a promotion service placed you there, ask for an explanation in writing and do not buy another campaign from them.

If a distributor flags a track, talk to them directly. A rights lawyer or your label's business affairs contact is the right person if money or takedowns are involved, because rules and fees differ between distributors.

Our perspective: bots are a vetting problem, and vetting is a relationship problem

We built Playlist Pilot because independent artists were losing hours to a job that should have taken minutes: finding playlists that fit, checking they are real, and writing a pitch worth reading. Along the way we noticed that bot detection alone does not solve the underlying issue.

A scanner tells you about a playlist today. It does not tell you whether the person running it will answer your next release, remember your last one or care whether your music fits. The artists who build steady streaming growth are the ones who treat curators as people, not as slots to be filled.

That is why we do not charge per pitch. When every message costs money, artists send fewer, aim wider and treat the whole process as a lottery. When pitching is unlimited, you can be selective, personalize each message and come back to the same curator with your next track. Our curators respond to AI-generated pitches that explain how a song fits their playlist, and we see an average response rate of 47%.

Our view, in short: use a scanner to rule out the obvious, use your own judgment on the curator, and spend your effort on relationships that last beyond one release.

— Zander

Pitch to playlists you have already checked

If you want the scan and the pitch in one place, Playlist Pilot matches your track to playlists by audio characteristics, genre and mood, shows you curator contacts and generates a personalized pitch for each. The free Spotify playlist bot checker is open to anyone. Paid plans start at $19.99 per month for Starter and $29.99 per month for Professional, and you can compare them on the Playlist Pilot home page. To understand how curator relationships fit your wider plan, read our guide to AI-powered music pitching for independent artists.

A simple routine you can repeat for every release

Putting it all together, here is a routine that takes less than half an hour per batch of playlists.

1. Build a list of 20 to 30 playlists that match your genre and mood.
2. Run each through a bot checker and drop anything flagged.
3. Do the ten-minute manual check on what is left.
4. Research each curator: identity, contact details, audience.
5. Send a personal pitch that explains why the track fits that specific playlist.
6. Log the pitch and the reply.
7. After any add, watch your Spotify for Artists data for three weeks.
8. Keep a running list of curators who responded well, and write to them first on your next release.

The point of the routine is not to be paranoid. It is to make the safe choice the easy choice, so that you spend your energy on the music.

Sources

• IMPALA: Streaming manipulation guidance for members
• LANDR: Is my music in a bot playlist?
• Dynamoi: Spot fake playlists, 25-point vetting checklist