How to Get Better Artists in Your Spotify “Fans Also Like” Section

A lot of artists look at their Spotify profile and wonder the same thing: why is there no “Fans Also Like” section yet? Or, just as frustrating, why does Spotify show artists who do not sound anything like them? Maybe you make moody indie pop, but your profile is getting connected to random trap artists because one playlist added you next to them. Maybe you have thousands of streams, but Spotify still has not built enough confidence to show similar artists on your profile. It can feel like the algorithm is a locked door, and you are standing outside with no key.

Here is the important thing to understand right away: you cannot open Spotify for Artists and manually type in the artists you want in your Fans Also Like section. Spotify does not currently give artists a direct edit button for that feature. But that does not mean you are powerless. You can influence the signals Spotify uses to understand your music, your listeners, your playlist environment, and your relationship to other artists. Think of it less like changing a profile setting and more like training a recommendation engine. The more consistent your data is, the easier it becomes for Spotify to understand where your music belongs.

We’re not trying to “hack” Spotify. The goal is to feed the platform cleaner, stronger, more relevant signals. When the same kinds of listeners stream your music, save it, follow you, add you to playlists, listen to similar artists, and engage with you across the web, Spotify starts connecting the dots. Over time, that can influence not only your Fans Also Like section, but also Spotify Radio, algorithmic recommendations, autoplay, Discover Weekly-style discovery, and other personalized listening surfaces. In this guide, we will walk through the practical steps artists can take to improve those signals without using fake streams, spammy playlisting, or shortcuts that could damage long-term growth.

What Is Spotify’s “Fans Also Like” Section?

Spotify’s Fans Also Like section is a group of artist recommendations that appears on some Spotify artist profiles. It is designed to show listeners other artists that share audience behavior, listener overlap, playlist context, or similar discovery patterns. In simple terms, Spotify is trying to answer the question: “People who listen to this artist also seem to listen to these other artists.” That is why the feature can be so valuable. It gives new visitors a quick sense of where you fit musically, culturally, and algorithmically.

For artists, this section acts almost like digital positioning. If your profile appears next to artists in your actual lane, listeners understand your sound faster. A dreamy R&B artist who appears beside SZA-inspired, alternative soul, and bedroom pop acts immediately feels easier to place. A punk band appearing beside hyperpop, country, and lo-fi study beat artists might confuse both listeners and algorithms. That confusion matters because Spotify’s recommendation system depends heavily on patterns. When the pattern is messy, the recommendations can become messy too.

This is why many artists care so much about getting the right names in their Fans Also Like section. It is not just a vanity feature. It can shape perception, discovery, and trust. When a listener sees familiar artists they already love, they are more likely to give your music a chance. When a curator or potential collaborator visits your profile, the section can reinforce your genre identity. When Spotify itself sees consistent listener overlap between you and relevant artists, it may become more confident in placing your music into related recommendation paths. That does not guarantee editorial playlists or algorithmic growth, but it creates a healthier foundation.

Can You Manually Customize “Fans Also Like” on Spotify?

No, artists cannot directly customize their Fans Also Like section inside Spotify for Artists. There is no official field where you can choose similar artists, remove irrelevant artists, or manually reorder the list. This is one of the biggest misconceptions in music marketing. Some guides make it sound like you can simply “choose” the artists you want. The truth is more nuanced. You can influence the signals, but you cannot directly control the output.

That distinction is important for SEO, trust, and artist expectations. Saying “customize your Fans Also Like” may get clicks, but it can also create disappointment if the reader expects a simple setting inside Spotify. A better promise is: you can influence your Fans Also Like section by improving the quality and consistency of your audience data. That is more accurate, and it gives artists a realistic path forward. Spotify’s systems look at listener behavior, playlist context, engagement, artist relationships, and broader discovery signals. Your job is to make those signals point in the right direction.

Think of Spotify like a friend trying to describe your music to someone else. If every person who listens to you also listens to the same five related artists, the description becomes easy. But if your streams come from random giveaways, low-quality playlists, mismatched ads, and listeners who skip after ten seconds, the description gets blurry. Spotify may still collect data, but it may not reveal anything useful. That is why fake growth or genre-mismatched playlisting can hurt more than they help. They may increase your stream count, but they can confuse your artist profile.

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Why “Fans Also Like” Matters for Artists

The Fans Also Like section matters because it can influence how listeners, curators, collaborators, and algorithms understand you. When someone lands on your Spotify profile for the first time, they are making a fast judgment. They look at your photo, monthly listeners, top songs, playlist placements, and similar artists. If everything feels aligned, your profile looks professional and intentional. If the similar artists feel random, it can make your brand feel less focused, even if the music itself is strong.

There is also a discovery benefit. Similar artist connections can help Spotify understand where your music belongs in its recommendation ecosystem. That ecosystem includes artist radio, song radio, autoplay, personalized playlists, listener recommendations, and other algorithmic surfaces. Spotify does not need your Fans Also Like section to be perfect before recommending your music, but consistent audience overlap can strengthen the overall picture. In music marketing, clarity compounds. Every clean signal makes the next signal easier to interpret.

For independent artists, this is especially important because you may not have the same brand recognition as major artists. A famous artist can survive messy data because listeners already know who they are. Emerging artists do not have that luxury. Your data, visuals, metadata, playlists, and promotion all need to work together. When they do, Spotify has a better chance of understanding your lane. Listeners have a better chance of recognizing your vibe. Curators have a better chance of placing you in the right context. Your Fans Also Like section is one visible piece of that larger positioning puzzle.

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How Spotify Decides Which Artists Appear

Spotify does not publish a simple public formula for exactly how every similar artist recommendation is generated. However, the general logic behind music recommendation systems is clear: they rely on patterns. Spotify looks at how listeners behave, what they stream together, what they save, what they skip, which playlists contain related tracks, and how artists are connected across listening sessions. The more consistent those patterns are, the more confident the platform becomes.

Listener Overlap

Listener overlap is one of the most important signals. If a meaningful number of your listeners also listen to a specific group of artists, Spotify can begin to associate your audience with theirs. This does not mean you need to share listeners with giant superstars. In many cases, overlap with smaller and mid-level artists in your niche may be more useful because the connection is more precise. A bedroom pop artist with strong overlap with five other bedroom pop artists may send a clearer signal than an artist with random overlap across huge mainstream acts.

Playlist Overlap

Playlist overlap also matters. When your songs appear on playlists alongside certain artists, Spotify gains context about where your music fits. This can be helpful when the playlists are relevant and listener behavior is strong. It can be harmful when the playlists are random, botted, or genre-mismatched. If your acoustic folk song is repeatedly placed on EDM workout playlists, that may create confusing data. Playlist placement is not just about getting streams. It is about getting the right streams from the right listening environment.

Search and Streaming Behavior

Search behavior, repeat listens, saves, follows, playlist adds, and completion rates can all contribute to how platforms interpret artist relevance. A listener who searches for your name, plays multiple songs, follows your profile, and saves a track sends a much stronger signal than someone who hears ten seconds of your song on a random playlist and skips. That is why artist growth should focus on depth, not just volume. A smaller audience that genuinely connects with your music is usually more valuable than a larger audience that barely pays attention.

Web Mentions and Artist Associations

Web mentions can also support artist understanding. Blog posts, interviews, reviews, playlists, YouTube descriptions, social captions, and press features often place artists in context. If multiple reputable sources describe you alongside similar artists, genres, scenes, and influences, that can strengthen your broader digital footprint. This does not mean every blog mention will directly change Spotify overnight. But from an SEO and AI-search perspective, clear entity associations matter. Search engines and AI systems are increasingly trying to understand who an artist is, what they sound like, and how they connect to other known artists.

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How To Influence Your “Fans Also Like” On Spotify

Step 1: Fully Optimize Your Spotify Artist Profile

Your Spotify profile is the foundation. Before worrying about advanced playlist strategy or algorithmic signals, make sure the basics are handled. Your artist image should look professional, your bio should clearly explain who you are, and your profile should feel current. Too many artists treat their Spotify profiles like static business cards, but they should function more like living storefronts. When listeners arrive, they should instantly understand your sound, your story, and your world.

Your bio is especially important. Do not waste it on vague statements like “an artist who makes music from the soul.” That may sound nice, but it does not help listeners or algorithms understand your positioning. Mention your genre, location if relevant, sonic references, career highlights, and the emotional lane your music occupies. For example, a stronger bio might say: “Blending alternative R&B, soft electronic textures, and late-night pop songwriting, [Artist Name] creates intimate songs for fans of atmospheric vocals, vulnerable lyrics, and slow-burning grooves.” That kind of wording gives humans and machines more to work with.

You should also keep your Artist Pick updated, link upcoming shows when possible, and use Spotify for Artists features consistently. If you are touring, make sure your live dates are connected through an approved ticketing partner. If you release new music, highlight it. If you have a playlist that represents your influences or scene, feature it when appropriate. These details will not magically change your Fans Also Like section on their own, but they create a stronger profile experience. And a stronger profile can increase follows, repeat listens, and deeper engagement, which are the signals you actually want. Check out this article for more tips on setting up your Artist Profile the right way.

Step 2: Build Strategic Artist Playlists

One of the most practical ways to influence your Fans Also Like data is to create strategic playlists that place your music in the right context. This does not mean making a playlist with only your own songs and begging people to stream it on repeat. It means building a playlist around a clear mood, genre, scene, or listener identity, then including your music naturally alongside artists who genuinely share your audience. A playlist can act like a bridge between your artist profile and the musical neighborhood you want Spotify to understand.

For example, if you make dreamy indie R&B, you might create a playlist around late-night alternative soul, soft drums, warm synths, and intimate vocals. Add a few of your own tracks, but surround them with artists who are genuinely similar. Include a mix of larger artists, mid-level artists, and emerging artists. The goal is to attract listeners who already like that world. When those listeners save your track, follow your profile, or continue listening after your song plays, you are sending a cleaner signal than you would from a random playlist placement.

The playlist itself needs a real concept. Generic names like “My Favorite Songs” rarely perform well. A better playlist title might be built around a mood, activity, or identity: “Late Night Alt R&B,” “Bedroom Pop for Overthinking,” “Soft Indie Songs for Rainy Drives,” or “Dreamy Pop & Sad Girl Anthems.” Use a strong cover image, a short keyword-rich description, and consistent updates. Promote the playlist on TikTok, Instagram, YouTube Shorts, your email list, and your artist profile. The playlist becomes both a fan-building tool and a data-shaping tool. Done well, it helps attract listeners who are more likely to understand your music immediately. Check out this article for more tips on building your Spotify playlists.

Promotion can either sharpen your Spotify data or completely muddy it. This is where many artists accidentally hurt themselves. They run broad ads, submit to every playlist they can find, pay for low-quality placements, or chase streams from audiences that have no real interest in their style. The result may look good on the surface because the stream count rises. But under the hood, the algorithm may be learning the wrong lesson. If listeners skip quickly, never save, never follow, and never return, that traffic is weak.

A better strategy is to promote your music to people who already listen to artists in your lane. This is where audience targeting matters. Whether you are running ads, pitching playlists, making short-form video content, or working with influencers, your references should be specific. Do not just target “music fans.” Target fans of artists, subgenres, aesthetics, and communities that match your sound. The more precise the audience, the more meaningful the engagement.

This is also why your content should filter the right people in and the wrong people out. A video caption like “for fans of sad indie pop, Phoebe Bridgers-style lyrics, and late-night bedroom recordings” is more useful than “new song out now.” It tells the right listener, “This might be for you.” It also creates a stronger semantic connection around your artist brand. The same logic applies to YouTube descriptions, blog pitches, playlist descriptions, and social bios. When your language consistently connects your music to a clear scene, style, and audience, you make it easier for both humans and algorithms to categorize you.

Step 4: Get Press, Blog Mentions, and Web Signals

Press and blog coverage still matter, but not in the old-fashioned “we got featured, now we are famous” way. The real value is context. A good blog post, interview, playlist feature, or review can describe your music in language that search engines, AI tools, fans, and industry people can understand. When multiple sources mention your artist name alongside relevant genres, similar artists, locations, and scenes, your online identity becomes easier to map.

This is especially important for AI optimization. AI search tools often summarize information based on recognizable entities and repeated associations. If your artist name only appears on streaming platforms with very little supporting context, there is not much to summarize. But if your artist has interviews, reviews, bios, playlist features, and consistent descriptions across the web, AI systems have more material to work with. This can help you appear more clearly in searches like “artists similar to [artist],” “best new indie R&B artists,” or “emerging bedroom pop singers.”

When pitching blogs, avoid sending a generic email that says, “Please check out my new song.” Give writers useful angles. Mention the story behind the song, the genre, the artists your fans also listen to, the production style, and why the release matters now. Make it easy for them to describe you accurately. A strong sentence like “The track blends moody alternative R&B vocals with UK garage-inspired drums and songwriting for fans of PinkPantheress, Kelela, and SZA” gives the writer a ready-made context. The more accurately the web talks about you, the more consistent your artist signals become.

Step 5: Collaborate With Similar Artists

Collaborations are one of the strongest ways to create real artist connections. When you release a song with another artist, you are not just sharing vocals or production. You are creating audience overlap. Their listeners discover you, your listeners discover them, and Spotify gets a clearer signal that your audiences may be related. This can be especially useful when the collaboration makes musical sense. A random feature may not help much, but a thoughtful collaboration with an artist in your lane can strengthen your positioning.

The best collaborations happen when there is a natural fit. Look for artists who share your sound, audience size, visual world, live scene, or emotional tone. You do not need to chase huge names. In many cases, collaborating with artists at a similar level is more effective because both audiences are accessible and engaged. If you make melodic indie pop, a collaboration with another emerging artist in that scene may create more useful overlap than a forced feature from someone with a completely different fan base.

Collaboration does not always mean releasing a song together. You can also co-create playlists, perform together, remix each other’s tracks, appear in each other’s content, trade newsletter mentions, or build a small live event around a shared sound. Each of these activities creates connections across listeners and platforms. The key is consistency. If your artist world repeatedly overlaps with the same relevant group of artists, Spotify and search engines have an easier time understanding who belongs near you. Check out this article for more tips on finding collaborators.

Step 6: Improve Save Rates, Repeat Listens, and Playlist Adds

Not all streams are equal. A passive stream from a random playlist is not the same as a fan saving your song, replaying it, following your profile, and adding it to their own playlist. Spotify’s systems care about behavior because behavior reveals interest. If listeners return to your track again and again, that is a stronger signal than one-time exposure. This is why artists should stop obsessing only over total streams and start paying closer attention to the quality of engagement.

Save rate is especially useful because it shows that a listener wants to keep your song. Playlist adds are also powerful because they move your music into a listener’s personal environment. Repeat listening suggests an emotional connection. Profile follows indicate longer-term interest. These actions help Spotify understand that your music is not just being played; it is being chosen. And chosen music is much more valuable for recommendation systems.

To encourage deeper engagement, build release campaigns that ask for more than a stream. Invite fans to save the track before release. Ask them to add it to a playlist that fits the mood. Share the story behind the song so listeners feel connected to it. Use short-form content to highlight the strongest lyric, hook, or emotional moment. After release day, keep promoting the track in different ways instead of posting once and disappearing. A song often needs repeated exposure before listeners build a habit around it. The more real engagement you create, the stronger your artist data becomes.

Step 7: Keep Your Audience Data Clean

Clean data is one of the most underrated parts of Spotify growth. Many artists think any stream is a good stream, but that is not true. Low-quality streams can confuse your audience profile, damage your recommendation signals, and make your analytics harder to interpret. If your song is placed on suspicious playlists, botted playlists, or playlists completely unrelated to your genre, you may see a temporary spike followed by poor engagement. That kind of growth rarely helps long-term.

Be careful with playlist pitching services that promise guaranteed streams. Real listeners cannot be guaranteed in neat packages. If a service promises a fixed number of streams for a fixed price, that is a red flag. At Playlist Push, we never guarantee streams, and curators have full control over their playlists. We only encourage they add relevant submissions to their playlists that improve artist data on Spotify. 

Also, watch your Spotify for Artists data. If you suddenly receive streams from strange locations, playlists with unrelated music, or sources that do not match your audience, investigate quickly. You may need to report suspicious activity or avoid working with that promoter again.

Clean audience data means your streams come from people who might actually become fans. That should be the standard. A smaller number of high-intent listeners is better than a large number of empty plays. When your audience data is clean, your Fans Also Like section is more likely to be accurate. Your Spotify Radio has a better chance of reaching the right people. Your future campaigns become easier to optimize because the analytics reflect reality. In music marketing, clean data is like clean water. Everything grows better when the source is healthy.

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Common Mistakes That Hurt Your “Fans Also Like”

The biggest mistake artists make is chasing streams without thinking about context. They submit to every playlist, run ads to broad audiences, use vague content, and accept placements that do not match their sound. This creates scattered data. Spotify may see activity, but it may not see a clear pattern. When there is no clear pattern, your similar artist recommendations can become irrelevant or fail to appear at all.

Another common mistake is using artist comparisons poorly. Some artists are afraid to mention similar artists because they want to seem completely original. But comparison is not weakness. It is a navigation tool. Listeners need reference points. Algorithms need context. Saying your music is “for fans of” certain artists does not mean you are copying them. It means you are helping people find the right doorway into your world. The trick is to choose references that are accurate, not just famous.

A third mistake is abandoning songs too quickly. Many artists promote a release heavily for three days, then move on. But Spotify signals build over time. Listener behavior, saves, playlist adds, and repeat plays often grow through repeated storytelling. Keep giving people reasons to return to the song. Share alternate clips, acoustic versions, lyric breakdowns, behind-the-scenes moments, playlist placements, fan reactions, and live performances. A campaign is not one announcement. It is a trail of breadcrumbs that keeps leading listeners back to the music.

Quick Checklist for Influencing Spotify Similar Artists

Use this checklist before and after every release:

The main idea is simple: make every signal point in the same direction. Your Spotify bio, playlists, ads, blog coverage, collaborations, and fan behavior should all tell the same story. When those signals align, your artist profile becomes easier to understand. That does not give you total control over your Fans Also Like section, but it gives you the best possible chance of influencing it in a healthy way.

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Conclusion

You cannot manually edit your Spotify Fans Also Like section, but you can absolutely influence the data that shapes it. The artists who win long term are not the ones chasing random streams. They are the ones building a clear musical identity, attracting the right listeners, creating meaningful artist connections, and keeping their audience data clean. Spotify’s algorithm is not magic. It is pattern recognition. Give it better patterns, and it has a better chance of understanding where your music belongs.

Start with your profile. Then build strategic playlists, promote to the right listeners, earn accurate press, collaborate with similar artists, and focus on real engagement instead of empty numbers. Over time, these actions can help Spotify connect your music with the right artists, the right listeners, and the right recommendation paths. That is the real goal. Not just a prettier Fans Also Like section, but a stronger artist ecosystem around your music.

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FAQs

How do I get a “Fans Also Like” section on Spotify?

Spotify adds the Fans Also Like section when it has enough useful data about your listeners, playlist context, and artist relationships. You cannot manually turn it on, but you can improve your chances by growing real listener engagement and keeping your audience data consistent.

Can I choose which artists appear in my Spotify “Fans Also Like” section?

No. Spotify does not let artists manually choose or remove artists from the Fans Also Like section. You can only influence the signals Spotify uses by improving listener overlap, playlist context, collaborations, and promotion quality.

Do playlists affect Spotify’s “Fans Also Like” section?

Yes, playlists can influence artist association, especially when your music appears beside relevant artists and receives strong engagement from real listeners. However, random or low-quality playlist placements can confuse your data.

Why are the wrong artists showing in my “Fans Also Like” section?

This usually happens when your listener data is mixed or unclear. Mismatched playlists, broad ads, fake streams, or random audience sources can cause Spotify to associate your profile with artists who do not fit your sound.

How long does it take to influence Spotify similar artists?

There is no fixed timeline. It depends on your release activity, listener volume, engagement quality, playlist context, and audience consistency. For most emerging artists, this is a long-term process that improves as Spotify collects more reliable data.

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