
이미지: Suno 화면 갈무리
Summary
- Suno's official account cited a Bloomberg report to announce it topped Apple App Store's music app rankings for multiple weeks this summer
- Viral text-to-song hits like "The Puerto Rico Song" reportedly drove the surge in downloads
- Controversy over AI music use continued in parallel, as guitar parts maker D'Addario admitted to secretly using Suno in a promotional video
- 발표 주체
- Suno 공식 X 계정
- 인용 매체
- 블룸버그(Bloomberg)
- 언급된 사례
- 'The Puerto Rico Song' 등 바이럴 텍스트-투-송
- 앱스토어 순위
- 애플 앱스토어 음악 앱 부문 1위(수 주간 유지, 블룸버그 인용)
- 관련 배경
- D'Addario, 홍보 영상 AI 음악 사용 논란(2026-08-12 확인)
- 관련 배경2
- Suno, 책임 있는 AI 음악 원칙 공개(2026-08-06)
Claiming the App Store's top spot all summer
Generative music service Suno revealed its own performance figures via its official X account, claiming credit for many of the music memes that swept the internet this summer. The flagship examples cited were "The Puerto Rico Song" and viral moments where text input instantly turned into finished songs.
As evidence, Suno pointed to a Bloomberg report, quoting the outlet directly: "It all added up to a surge in downloads." The company said this resulted in it becoming "the most popular music app" on the Apple App Store "for weeks." However, the tweet did not include specific download figures or exact dates for how long it held the top ranking.
Text-to-song fuels the summer's memes
Suno lets users generate a complete song—vocals and instrumentation included—from just a few lines of text. This accessibility has dramatically lowered the time and technical barriers required to make a song, and this summer saw repeated instances of songs about specific regions or issues spreading rapidly on social media. The buzz around region-flavored content like "The Puerto Rico Song" stems from this same dynamic.
Whether the download surge translated into actual revenue or paid subscription conversions cannot be confirmed from this announcement alone. Still, industry consensus holds that reaching the top of the rankings in the music streaming/creation app market carries significant weight for brand recognition.
A shadow behind the buzz
Controversy also surrounded Suno during the same period. In a case confirmed on August 12, string and guitar parts manufacturer D'Addario eventually admitted to using Suno-generated music in a promotional video. After the controversy broke on July 29, the company spent roughly two weeks explaining it away as low-quality exports, Autotune noise, or the use of mastering tools like LANDR and Logic—before ultimately editing its Instagram post and acknowledging that its earlier explanation had been inaccurate.
Suno itself showed signs of being mindful of this trend. On August 6, the company released a set of responsible AI music creation principles and announced plans to introduce audio watermarking and fingerprinting technology. This is read as a signal that the company itself recognizes that as its popularity grows, so too does the issue of attribution and disclosure of AI usage.
Summer's buzz and controversy at a glance
| Category | Details |
|---|---|
| Basis for success claim | Cited Bloomberg; No.1 music app on Apple App Store for several weeks |
| Flagship example | "The Puerto Rico Song," viral text-to-song moments |
| Concurrent controversy | D'Addario controversy over concealing AI music use in promotional video (from July 29) |
| Company response | Released responsible AI principles, announced watermarking plans (August 6) |
What changes from here
The fact that Suno is touting App Store rankings while simultaneously announcing watermarking plans reflects the reality facing AI music services: managing buzz and trust issues at the same time. For users, it also means it's becoming increasingly difficult to tell whether a song encountered on social media was performed by an actual person or generated by AI. If cases like D'Addario's—where companies use AI music in promotional content without disclosure—continue to recur, how effective technical safeguards like watermarking prove to be in practice will be the next thing to watch.



