What if the biggest lever on your music’s success isn’t a new single, but the data behind it? We sit down with music catalogue specialist Robin Maddicott to unpack the hidden systems that decide where your tracks land, who discovers them, and how the money finds its way back. From artist-page mapping to remixer credit strategy, Robin shows how small metadata choices create outsized results on Spotify, Apple Music, and beyond.

We also lift the hood on catalogue as an asset class. Clean data isn’t just tidy admin; it’s enterprise value. Robin explains why verified splits, consistent identifiers, and transparent collections command better multiples, and how deep audits can surface black-box income in neglected territories. For buyers, broken data can be opportunity. For creators, discipline at the point of creation is the cheapest way to protect long-term value.

Then we confront the AI frontier. Can provenance standards like C2PA embed authorship into audio and make attribution machine-readable? Where do detection tools work, and where do they fail when a human re-records an AI seed? Robin maps a path toward fair licensing of training data and recognition of reused “music DNA” without stifling creativity. Finally, we talk campaign strategy: why integrity is the new scarcity, how catalogue storytelling (like the José González anniversary) expands audiences, and why the pendulum may swing from always-on posting back to crafted, seasonal moments that restore a bit of mystique.

If you care about discovery, royalties, and future-proofing your rights in an AI-driven market, this conversation gives you a playbook and a compass. Subscribe, share with a fellow creator, and leave a review with the one metadata fix you’ll implement this week.

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