In the music industry, accurate and unique artist profiles are crucial for proper recognition and credit. However, challenges often arise due to how music data is processed and shared.

Distributors send song data to streaming platforms that only include basic credit information, such as the songwriter or performer’s name, without providing unique identifiers like external IDs.
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For example, a distributor might credit a "John Smith" as the songwriter. Still, without an identifier to distinguish which "John Smith" is being referenced, streaming platforms or even distributors may sometimes merge the credits of two different individuals with the same name into a single profile.
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When artists claim their profiles and discover credits belonging to someone else with a similar name listed under their account. Such misattributions can lead to confusion and complications in managing professional profiles, ultimately impacting the appropriate recognition of an artist's work.

Considering this loophole in the industry, we have created a solution at Muso.AI—a manual process to separate and correctly assign credits, ensuring proper attribution for every artist. If your profile includes credits belonging to someone else or your own credits are scattered across different profiles, reach out to our support team. We’ll help split them into distinct and accurate profiles to maintain the integrity of your professional presence.

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