top of page

How to use AI Similarity Search to find music

AIMS AI-powered Similarity Search search bar

If you’re in the sync space, you’ve likely already used AIMS. Our Similarity Search has become the verified premium standard, based entirely on AI audio analysis. That means it doesn’t rely on tags or metadata, and it gets you the most relevant results possible.

All you need is a single reference. Paste a link, upload a file or pick a track from your catalog to discover music that sounds and feels similar to what you're looking for. 

There’s officially no reason to keep spending hours on a single sync brief. Our Similarity Search brings that down to minutes — according to those who use it every day.

Although it’s intuitive enough to start using on your own, here’s a short intro. 

How Similarity Search works

We make sure to give you practically unlimited options of references you can use. 

  • Paste a link from YouTube, Spotify, Apple Music, SoundCloud, Vimeo, or TikTok. 

  • Upload a file in MP3, WAV or AIFF file format. 

  • Select a track from your catalog. 

Taking your reference, Similarity Search goes through your entire catalog and shows you music similar to the original track. The entire search process only takes a few seconds. 

And to reiterate, our AI judges similarity based on sound and feel, not tags. A mislabeled track or inconsistent taxonomy has zero impact on the quality of results. No keywords, no problem. 

As for how the technology works exactly, we could write a whole book about that — so we’ll stop ourselves here.

What it means for your catalog 

Besides all that saved time (that can’t be emphasized enough), Similarity Search helps you find tracks that you wouldn’t have uncovered without some AI help. 

For one thing, it’s humanly impossible to memorize an entire catalog. And second, we’re all susceptible to biases; the more we search for music, the more we fall into patterns of songs we turn to, genres we like, or keywords we try out. This can ultimately limit us.

“I have tracks and albums that I gravitate toward. AIMS has pushed me outside of that and helped me dig deeper into our catalog,” says Brian Beshears, Owner of Atomica Music. “I might not go back to music that’s six years old, but AIMS does. It helps us activate our whole catalog.”

Next up, let’s talk about refining your search with our diverse features — including highlighting segments, ignoring vocals and prioritizing BPM.

Interested in how AIMS can work for you? Reach out to us here: 

bottom of page