The Sonic Intelligence Academy (SIQA) has released the first-ever AI music rankings on the SIQA Top 100 AI Songs and Top 100 AI Cover Songs charts.
The AI music charts were designed to track the top AI songs resonating with today’s music landscape, providing a framework dedicated to measuring AI music on its own terms. The charts spotlight AI-created tracks gaining traction across streaming, video and social platforms, along with airplay. AI music creators will be able to submit eligible releases through SIQA’s submission system, similar to how artists submit work for traditional chart consideration.
For these charts, SIQA has used guidelines to determine what qualifies as AI-generated music, verifying and evaluating each entry through a proprietary in-house review process designed to support transparency, integrity, and ethical standards. Rather than positioning AI music as a replacement for traditional artistry, SIQA recognises it as a distinct medium that warrants its own standards and systems of recognition. The chart enables AI music to be evaluated on its own terms alongside existing chart systems.
SIQA claims it has established clear eligibility and ethical criteria to ensure integrity in chart participation. Chart-eligible tracks must be transparently created, properly attributed, and must not use cloned or simulated voices of real public figures, living or deceased, or misrepresent the identity of artists or performers.
The charting framework is designed to build a growing, structured data reference for how AI music evolves as a category. SIQA has plans to roll out several initiatives aiming to define this new music-tech realm, through education, research, partnerships and cultural initiatives focused on ethical AI music creation, collaboration and literacy.
The full chart can be found on the SIQA website.
Image Credit of Xania Monet, the first known AI artist to gain enough radio play to appear on Billboard radio: Spotify