Discover Sources vs Web Search: AI Podcast Showdown

If you’re creating podcasts with AI, there’s a key moment that makes or breaks your episode—

Finding fresh, factual content.

That’s where NotebookLM’s Discover Sources and Jellypod’s Web Search come in.

They’re two very different approaches to solving the same problem—
and in this video, we put them to the test:

Feature Showdown: Source Discovery vs Source Distillation

NotebookLM’s Discover Sources pulls in a wide range of documents based on your query. It’s powerful for exploration, but the narrative gets shaped at the end—sometimes requiring heavy editing to get the tone or structure right.
Jellypod’s Web Search flips the workflow. You define the structure and tone up front, and Jellypod finds fresh web content to match it—making it ideal for building episodes that need to stay on message.

Side-by-Side Workflow Comparison

When You Guide the Narrative

NotebookLM: After discovery
Jellypod: From the start

Fresh Content Sourcing

NotebookLM: Static—uses manually uploaded docs or preset materials
Jellypod: Dynamic—uses live web search to pull in fresh information

Tone and Structure Control

NotebookLM: Comes late—usually requires editing the final output
Jellypod: Comes early—you shape tone and structure from the start

Best For

NotebookLM: Deep research and exploration across large source sets
Jellypod: Quick, high-quality podcast creation with a clear narrative and message

Final Verdict

If your goal is to explore broadly and collect a range of materials to synthesize into something new, NotebookLM is your tool.

If you want to produce high-quality AI podcasts with a specific tone, structure, and message—backed by factual content—Jellypod’s Web Search gives you control and speed.

Try Jellypod’s AI Web Search for Podcasts - Create a custom AI podcast with live-sourced insights here.