AI music has made it possible for small labels to build large catalogs in a short time. But as your track count grows, so do the operational headaches: "Which version of this track is live on which platform?", "Where did we record the rights information for that release?" This article walks through practical methods for systematically cataloging AI-generated music and keeping it under control for the long haul.
What You'll Learn
A systematic approach to the management challenges small labels face when working with AI music at scale.
- Unique catalog management considerations for AI music
- Metadata standardization and template creation
- Platform-by-platform management techniques
- How to record and track rights information
- Building a catalog management system that scales
Why AI Music Catalog Management Matters
How It Differs from Traditional Music Catalogs
AI music catalog management has properties that don't exist in traditional music production.
In traditional music production, each track takes significant time to create and involves clearly defined contributors. Composition, arrangement, performance, and recording all involve named humans, so copyright and neighboring rights ownership is unambiguous.
AI music introduces a different set of characteristics:
- [Rapid high-volume generation] Ten or more tracks can be generated in a single session
- [Complex rights landscape] The applicable rights depend heavily on the AI tool's terms of service
- [Ambiguous authorship] "Who is the author?" is genuinely unclear in many cases
- [Version proliferation] A single prompt can produce multiple variations requiring their own records
Misunderstanding these differences before you start building your catalog can create serious problems down the line.
The Risks of Skipping Catalog Management
Poor catalog hygiene produces predictable consequences:
- [Duplicate releases] The same track accidentally re-distributed under a different name
- [Revenue leakage] Platform-level revenue reports that can't be reconciled back to specific tracks
- [Rights exposure] No record of which AI tool was used makes later verification impossible
- [Contract disputes] Unable to prove provenance of a track when signing an artist deal
For any label running a commercial operation, there's also a tax compliance angle — you need records.
Core Framework for AI Music Catalog Management
The Five Pillars of Information to Track
Systematically managing an AI music catalog requires recording five categories of information for every release.
1. Basic Track Information
- Title, artist name, release date
- Genre, language, track length
- ISRC (International Standard Recording Code)
- UPC/EAN (album-level barcode)
2. AI Generation Information
- AI tool used (Suno, Udio, etc.)
- Date and time generated, prompt text
- Subscription plan at time of generation (proof of commercial use rights)
- File version number
3. Distribution Information
- List of platforms the track is live on
- Distributor name
- Date submitted for distribution, go-live date
- Direct URL on each platform
4. Rights Information
- Rights holder (label, individual creator, joint names, etc.)
- URL of AI tool's terms of service at time of generation (screenshot or archived copy)
- Edit history (record of any human creative contribution)
- License type (exclusive, non-exclusive, etc.)
5. Revenue Information
- Play counts by platform
- Monthly revenue reports
- Payment status tracking
Spreadsheet Template
For a small label, starting with a Google Sheet or Excel workbook is the most practical first step.
Here's a template structure you can implement today:
| Column | What to Record | Example Entry |
|---|---|---|
| Track ID | Internal reference number | AI-2026-001 |
| Title | Track title | Neon Nights |
| Artist Name | Release name | Cyber Dreams |
| Generated Date | Date AI created the track | 2026-01-10 |
| AI Tool Used | Tool name and plan | Suno Pro |
| ISRC | Code issued at distribution | QZAAA2600001 |
| Distribution Date | Date the track went live | 2026-01-15 |
| Distributor | Distribution service | DistroKid |
| Spotify URL | Direct link | https://... |
| Rights Holder | Who owns the rights | [Label Name] |
| Notes | Miscellaneous | Fade-out edit applied |
Update this sheet monthly, tracking distribution status and revenue, and you have a clear picture of your catalog's health at any point.
Managing Your Catalog by Distributor
Centralizing Through DistroKid
DistroKid is one of the most suitable distributors for small labels handling AI music. Its flat annual fee with unlimited releases is a natural fit for the high-volume nature of AI-generated catalogs.
DistroKid catalog management tips
- [Teams feature] The Ultimate plan allows multiple team members to share account access
- [Revenue Splitting] Configure and record per-track revenue splits within the dashboard
- [HyperFollow] Auto-generates a single link page that aggregates all streaming links for a release
- [Bank feature] A dashboard view of revenue broken down by platform
When managing multiple artist names, establish a consistent naming convention so you can filter efficiently inside the DistroKid dashboard.
Example: [Genre]-[Sequential Number] → Ambient-001, LoFi-001
Working with TuneCore and CD Baby
TuneCore and CD Baby use per-release pricing, which makes per-track cost visibility cleaner.
Management tips
- [Log distribution costs] Note the cost per track in your catalog sheet
- [Maintain your ISRC list] If you're reusing self-issued ISRCs, keep a master list
- [Consolidate revenue reports] These services don't auto-integrate, so you'll need to manually merge reports
If you're releasing at volume, using multiple distributors simultaneously creates management overhead. Consolidate into a single service wherever possible.
Recording and Tracking Rights Information
What to Document for AI Music Rights
The rights situation for AI music is less clear-cut than for human-created music. That makes documentation more, not less, important. Record the following for every track:
Mandatory documentation
- [Generation date and tool] When and with what tool the track was created
- [Terms of service snapshot] Save a copy of the relevant terms at the time of generation (Wayback Machine is useful here)
- [Subscription plan proof] Evidence that you had a commercial-use-eligible plan active at the time
- [Edit history] Any human creative contributions made in a DAW or other tool
For Suno specifically, commercial use rights only apply to tracks generated while you have an active paid plan. If your plan lapses and you can't prove the track was generated during an active subscription, you may face a takedown request with no way to push back.
Preparing for Terms-of-Service Changes
The AI music industry is moving fast, and terms change frequently.
Narasu's 2025 pivot to a blanket ban on distributing AI-generated music was a real-world example of how quickly the landscape can shift. To stay ahead of changes like this:
- [Quarterly reviews] Check the terms of both your AI tools and your distributors at least every three months
- [Web archiving] Use Internet Archive's Wayback Machine to save snapshots of terms pages
- [Keep purchase receipts] Store confirmation emails and receipts from when you signed up for paid plans
Building a Scalable Management System
What You Can Automate vs. What You Can't
Some catalog management tasks are well-suited to automation; others require human judgment.
Automatable tasks
- [Batch metadata entry] Use CSV import features in your distributor dashboard
- [Distribution notifications] DistroKid email alerts for live releases
- [Monthly revenue aggregation] Spreadsheet formulas can handle the math
Tasks requiring human judgment
- [Prompt design] Crafting prompts that align with your brand's sound and aesthetic
- [Edit decisions] Deciding whether a generated track needs human post-production before release
- [Rights compliance review] Final check that everything is within the current terms
Full automation isn't realistic. The practical model is: automate recordkeeping; keep humans in the decision loop.
Integrating External Tools
Consider connecting these tools to streamline your catalog operations:
- [Spotify for Artists] Export play data for analysis
- [Apple Music for Artists] Analytics access for your Apple Music performance
- [Google Analytics] Track traffic to your HyperFollow smart link pages
- [Zapier / IFTTT] Automate logging of distribution confirmations to your spreadsheet
DistroKid doesn't currently offer a public API, so direct spreadsheet automation relies on manual exports or web scraping workarounds for now.
Frequently Asked Questions
Q1. When should I start managing my catalog?
A. Before you distribute your first track. Trying to reconstruct records retroactively from memory is unreliable — start logging from day one.
Q2. How do I manage tracks I've already released without records?
A. Pull your release history from the DistroKid dashboard and dig through email confirmations to reconstruct as much as possible. ISRC codes can usually be retrieved from the store's metadata view.
Q3. What if I'm using more than one distributor?
A. Add a "Distributor" column to your catalog sheet and track which service each track went through. You'll also need to reconcile revenue reports from each service separately.
Q4. Should I record the AI prompt text?
A. Yes, where practical. If you ever need to demonstrate creative authorship or distinguish your work from someone else's, the prompt is evidence of your creative input in the generation process.
Summary
Catalog management for AI music is not just administrative overhead — it's how you protect your label's assets. Building systematic records from the beginning means you can respond quickly when business expands or rights questions arise.
Start with these actions today:
- [Create your catalog sheet] Use the template in this article as your starting point
- [Audit your existing releases] Reconstruct records for anything already distributed
- [Document your workflow] Write down your team's catalog management process so it stays consistent
The distribution landscape for AI music keeps evolving. Get your catalog management in order, and use tools like DistroKid to run a label that can grow without breaking.
This article reflects information as of January 2026. Service terms and platform policies are subject to change — always verify current details before distributing.