Papa Johns sent you an email saying they're looking for songs to license for their next Ad for Halloween. How do you analyze your catalog to capture the opportunity? Labels with 11k+ songs in their catalog might take weeks of human labor to analyze each track (or only a popular subset) and reply to the opportunity. They could try to go to ChatGPT, upload a csv of their catalog and ask AI to help. If you have 11kt songs, it's too much context and AI will give you an error. If the AI does give a response, it's hallucinating its recommend ations based on tithe and artist name without the ability to hear the songs. The bottleneck for humans is time. The bottleneck for LLMs is context.

At Recoup we've worked with independent musicians and world class record labels to create a better system. When you send Recoup the music in your catalog it instantly looks up missing info on Spotify & remembers the updated catalog. Then, Recoup queues the new songs for a research assistant to search for what people think of the music. The next time Papa Johns needs to license one of your songs, Recoup will analyze its research notes across your entire catalog to suggest the perfect track (s). Turn weeks of catalog analysis into one prompt with Recoup.