Category: Distribution

  • AI Music, Distribution Gatekeeping, and the Coming Cleanup Era

    AI Music, Distribution Gatekeeping, and the Coming Cleanup Era

    Right now, most independent artists are operating in a moment of uncertainty — especially those using AI-assisted tools like Suno.

    At the moment, DistroKid does not actively gatekeep AI-assisted music. You can upload tracks, release albums, and distribute to streaming platforms without being blocked simply for using AI tools. That situation, however, feels temporary. Given the growing industry backlash against AI, it’s likely this will change in some form.

    What has already changed is how fragile distribution has become.

    One Flagged Track Can Take Down an Entire Album

    Currently, if one streaming platform flags a single track on an album, DistroKid will remove the entire album from all platforms. This isn’t unique to DistroKid — all major distributors behave this way, and they did so even before AI entered the conversation.

    The process is automated. There’s no human listening, no appeals process that happens in real time. A flag on one platform ripples outward and erases the release everywhere.

    This matters more now because more platforms are experimenting with AI filtering, whether transparently or not.

    Metadata Is Already Being Used Against You

    Some platforms and services scan metadata, not audio.

    For example, Suno-generated MP3 and WAV files often include the word “Suno” in the Comments metadata field. Any platform that reads tags can detect this instantly.

    The fix is simple:

    • Open the file in Audacity or another audio editor
    • Remove or edit the Comments tag
    • Re-export the file

    This isn’t deception — it’s basic file hygiene. Metadata should reflect the artist, not the tool.

    Audio-Based AI Detection Is Far Murkier

    Some developers claim to detect AI music by analyzing audio artifacts. Benn Jordan has been particularly vocal about this approach.

    I’m skeptical.

    There are common artifacts in AI-generated audio — but they are:

    • inconsistent
    • model-dependent
    • often indistinguishable from artifacts found in human-made recordings

    Compression artifacts, phase issues, strange transients, and tonal smearing appear in plenty of non-AI music. Treating them as definitive proof of AI involvement feels more ideological than technical. In my opinion, this has crossed from analysis into anti-AI advocacy.

    The Submithub Problem

    Platforms like Submithub now offer AI detection checks. The bigger issue is that Submithub has effectively become a gatekeeper for indie press coverage.

    Paying for reviews has always been a racket, and it always ends badly. AI detection just adds another toll booth.

    This isn’t about quality control — it’s about control.

    Cleaning Your Audio Is Still a Good Idea

    Regardless of AI politics, cleaning your audio is good practice.

    Some audio experts claim they can remove AI artifacts. I trust this more — not as “AI erasure,” but as standard audio refinement.

    Simple, effective steps you can take in Audacity or similar tools:

    • Remove DC offset (Suno’s isn’t terrible, but still)
    • Widen the stereo field slightly
    • EQ thoughtfully
    • Normalize or master the track

    Suno leaves about 3 dB of headroom, which is a clear signal that tracks are meant to be finished elsewhere. I would never upload a Suno track to a distributor without doing at least some post-processing.

    The Vocal Sameness Problem

    No amount of mastering fixes the biggest issue: AI vocals still have limited range and sameness.

    Covering an uploaded track with a real singer can guide the AI vocal somewhat, but the similarity between voices remains noticeable — and in recent Suno versions, this sameness has arguably gotten worse.

    That said, I suspect future versions will allow:

    • deeper training on uploaded vocals
    • more distinct voice shaping
    • better timbral variation

    Another option is recreating AI-generated tracks with real musicians — but that’s expensive and often defeats the purpose of using AI in the first place.

    Where Suno Still Wins

    Despite all of this, I think Suno itself is currently the best platform for engaging with people using your music.

    Not distributors.
    Not streaming platforms.
    Not press submission sites.

    Suno is where:

    • listeners understand the context
    • creators engage with each other
    • experimentation is expected

    In a hostile distribution climate, that matters.

    The Reality We’re In

    AI-assisted music isn’t going away. Gatekeeping will increase. Automation will punish edge cases. And indie artists will keep adapting, because that’s what we’ve always done.

    The smartest move right now isn’t pretending AI doesn’t exist — it’s understanding how the systems work, cleaning your files, owning your process, and choosing platforms intentionally.

    DIY has always been about control.
    That hasn’t changed — only the tools have.

  • How Artists Can Prevent Streaming Manipulation and Protect Their Releases

    How Artists Can Prevent Streaming Manipulation and Protect Their Releases

    Digital distributors and streaming platforms are becoming increasingly strict about identifying and removing artificial streams. While these systems help protect artists and maintain fairness across the industry, many musicians are surprised when they receive warnings for suspicious activity they never knowingly engaged in. Understanding how manipulation is detected—and how to avoid it—is essential for keeping your catalog safe.

    Below is a clear guide to the real steps artists can take to avoid artificial streaming and prevent accidental violations.

    Promotional Methods and Services to Avoid

    Artificial streaming most commonly comes from third-party services that promise fast results. Artists should stay away from:

    • Any service offering guaranteed streams
    • “Organic growth” packages
    • Inexpensive playlist placements with no identifiable curator
    • Discord or group “stream teams”
    • Bots, click farms, or incentivized listening
    • Networks that encourage users to run songs on repeat for rewards

    If a service cannot explain where streams come from or how listeners are reached, it is risky. Even if the artist’s intentions are legitimate, platforms will interpret these patterns as manipulation.

    How to Vet Playlists Before Pitching

    Playlist pitching is valuable, but only when done carefully. Before submitting music, artists should check:

    1. Whether the curator has a real, public identity
    2. Whether the playlist has consistent engagement over time
    3. Whether the follower count looks realistic, not inflated
    4. Whether listening patterns show natural variation
    5. Whether tracks remain on the playlist for reasonable durations
    6. Whether the playlist appears on suspicious promotion sites

    Playlists with sudden jumps in followers, repeated track cycling, identical daily numbers, or anonymous curators should be avoided.

    Avoiding Self-Generated Artificial Activity

    Sometimes artists accidentally create suspicious patterns. Platforms automatically monitor unusual behavior such as:

    • Streaming your own music repeatedly
    • Using VPNs, proxies, or multiple devices to boost play counts
    • Encouraging fans to stream songs on loop overnight
    • Asking followers to hit minimum daily streaming quotas
    • Running browser-based auto-repeat tools
    • Hosting “mass streaming parties” where the goal is play count inflation

    These patterns are flagged even when humans are listening, because they resemble bot activity.

    Legitimate Promotion That Is Safe to Use

    Not all promotion is risky. The following methods are fully legitimate and widely used:

    • Facebook and Instagram ads
    • YouTube pre-roll ads
    • TikTok promotions
    • Google Ads campaigns
    • Working with verified PR companies
    • Posting on social media
    • Reaching out to blogs and magazines
    • Building a mailing list
    • Sharing content directly with an organic audience

    The key is that these methods promote to real people and do not incentivize unnatural listening behavior.

    Monitoring Analytics for Warning Signs

    Artists should regularly check their dashboard data. Unusual trends to watch for include:

    1. Sudden streams from countries where you did not promote
    2. A large spike in a short period without explanation
    3. Streams coming mostly from unknown playlists
    4. Identical numbers repeating daily
    5. Very short listener durations or high skip rates
    6. Significant traffic from one small region or device type

    If anything appears suspicious, contacting the distributor proactively demonstrates responsibility and avoids escalation.

    Working With Collaborators Safely

    Every collaborator’s actions affect the track. A song can be flagged even if only one contributor uses a questionable promotional service. To prevent issues:

    • Have clear agreements with collaborators
    • Discuss acceptable and unacceptable promotion
    • Share analytics so everyone sees the same data
    • Avoid co-promoters who guarantee numbers
    • Keep communication open about marketing plans

    Carefully coordinating promotion helps everyone stay compliant.

    Why Re-Uploads Should Be Done Carefully

    Frequent takedowns and re-uploads can raise system flags. When replacing a track, artists should:

    1. Wait a reasonable period before reissuing
    2. Use accurate and matching metadata
    3. Clearly indicate if the track is a remaster or revised version
    4. Avoid creating multiple identical versions of the same song

    This helps platforms distinguish intentional updates from suspicious activity.

    The Importance of Good-Faith Effort

    Artificial streaming threatens the integrity of revenue systems across all major platforms. While enforcement can feel strict, artists who make consistent good-faith efforts to follow best practices avoid most problems. By staying informed, vetting partners, watching analytics, and choosing safe promotional routes, musicians can confidently build their audience without risking their catalog.