How to Connect Your Podcast Catalogue to ChatGPT and Claude

Asking an AI to analyze your podcast catalogue shouldn't involve copy-pasting massive transcript files into a chat window every time you start a new session. It should be a direct, seamless connection.

When you connect your podcast to ChatGPT or Claude, the AI gains access to a structured index of your entire show history. You can ask about past topics, search for guest quotes, or research themes across hundreds of episodes instantly.

Here is the step-by-step guide to setting up the connection using a structured podcast data layer.

Step 1: Establish Your Central Data Home

AI models cannot query standard podcast platforms or audio distribution feeds directly. You must first consolidate your show's assets into a structured database.

1. Import your feed: Use your podcast RSS link to bring in basic show details (titles, dates, summaries, and guest lists).
2. Consolidate transcripts: Gather the transcripts you already trust. If they exist on your website or in your feed, import them. If not, upload them directly as text or document files.
3. Organize guest profiles: Match episodes to correct, verified guest spelling and titles to avoid AI hallucination.

This step creates a clean, central repository that serves as the single source of truth for your show.

Step 2: Set Up Your Connection Endpoints

Once your show data is structured, you need to expose it securely to your chosen AI client. This is typically done through a private connection URL or API endpoint.

A secure podcast data layer provides: Private API paths: Specialized endpoints that allow AI tools to query your database. Context limits: Controls to ensure the AI only pulls the relevant sections of a transcript, preventing long page loads or model memory limits. Access tokens*: Security keys that guarantee only your authorized AI accounts can read your archives.

Step 3: Connect to ChatGPT (via Custom GPTs)

To query your podcast archive inside ChatGPT, the most efficient method is using a Custom GPT:

1. In OpenAI, go to Explore GPTs and click Create.
2. Under the Configure tab, fill out the basic name and description.
3. Scroll down to Actions and select Create new action.
4. Paste the API schema provided by your podcast data layer. This schema tells ChatGPT exactly how to search your episode database.
5. In the Instructions box, set a clear guardrail:

"When asked about the podcast, always query the database first. Do not make up quotes or guest details. Cite the episode title and date in every response."

Once published privately, you can chat with your Custom GPT, and it will query your live database whenever you ask about your show.

Step 4: Connect to Claude (via Custom Projects)

Claude uses "Projects" to hold context for specific workflows. Here is how to feed your podcast data layer into Claude:

1. In Claude, create a new Project.
2. Locate the private document export or API sync option in your podcast data layer.
3. If using APIs, connect the endpoint through your developer portal or integration layer.
4. If using document sync, export your structured metadata index and latest transcripts as formatted Markdown files and add them to the Project's core files.
5. Set the project instructions to prioritize your uploaded files over general knowledge when discussing show history.

Claude will now keep your show details in its memory window, allowing you to ask deep questions across your back catalogue.

Step 5: Test and Refine Your Queries

Once connected, run a few test prompts to verify that the AI is querying your actual data rather than hallucinating details from its training data.

Try these specific prompts: "Who did I talk to about [niche topic] in late 2025, and what was their main conclusion?" "Find the exact episode where we discussed [concept] and pull the quote about [detail]." "Search my back catalogue for guest remarks on [industry trend]. Summarize the contrasting views."*

If the connection is successful, the AI will pull the exact transcript lines or metadata dates, citing your episodes accurately.

The Neutral Repository Advantage

The key to a successful AI setup is keeping your data neutral. By maintaining your podcast catalogue in a separate, dedicated database, you aren't locked into a single AI provider.

If you use ChatGPT today, you can query your data there. If you switch to Claude or a custom LLM tool tomorrow, your show data remains intact, organized, and ready to connect. You own the data layer; you simply point it at the tool you want to use.