The Free Tool I Use to Never Start a YouTube Video From a Blank Page
Think about the presentations you’ve built over the last five years. The client workshops. The webinars. The thought leadership articles. The training materials that took you weeks to put together.
Now think about how many people have actually seen them.
A handful of clients. Maybe a few dozen people on a Zoom call. Then they go into a folder and sit there.
That’s the part nobody talks about when they tell you to “create more content.” You already have the content. You just haven’t done anything with it.
The Real Problem
Most consultants and coaches think content creation means starting from a blank page every Monday. It doesn’t. It means systematically unlocking the expertise you’ve already captured — in documents, slides, frameworks, and articles — and getting it in front of the right people.
The challenge is that turning a 40-slide presentation into a podcast episode, a blog post, and three LinkedIn videos feels like a three-day project. So it doesn’t happen. The slide deck stays in the folder.
Google has been quietly building a solution that can help with this. And this week, they connected it to something that makes the whole workflow significantly more powerful.
What Google NotebookLM Actually Does
Google NotebookLM is a free AI research tool. You upload your sources — PDFs, Google Docs, URLs, YouTube videos, even audio files — and it analyses them. It answers questions. It makes connections between documents. That’s useful on its own.
But the feature that changes the game for consultants is the Audio Overview.
Upload any source — a presentation you built for a client, a long-form article, a research report you spent weeks on — and NotebookLM generates a podcast-style conversation between two AI hosts about that material. Not a robotic summary read aloud. An actual discussion, with context and nuance, explaining the key ideas from what you uploaded.
It takes about ninety seconds to generate.
I’ve uploaded old client workshop decks into NotebookLM. What came back was a ten-minute discussion of the frameworks I’d spent years developing. It was strange to listen to — good strange. It surfaced ideas I’d buried in slide 22 that should have been on slide 2.
More importantly: it gave me new content without starting from scratch.
You can download the audio. Share it as a bonus for your newsletter subscribers. Use it as a “listen to this first” resource for new clients. Or use it as a script to record your own version — one where you actually sound like yourself.
What Just Changed This Week
On April 8, 2026, Google connected Gemini directly to NotebookLM through a new feature called Notebooks.
Here’s what that means in practice. You can now start a research conversation in the Gemini app — ask it to find the top questions consultants are asking about a given topic, for example — and that conversation, along with all your sources, automatically syncs to NotebookLM. From there, you can generate an Audio Overview, run deeper Q&A, or build a structured content plan.
The two tools now share a single knowledge base. What you build in one shows up in the other.
This is rolling out now to Google AI Ultra, Pro, and Plus subscribers — so if you’re on a Google One AI plan, you likely have it already or will very soon. Free user access is coming in the weeks ahead. But even before it reaches everyone, it changes how the research-to-content workflow runs.
Using It for YouTube Research and Topic Building
Here’s a workflow worth trying.
Open Gemini and start a notebook. Ask it: “What questions are consultants and coaches most frequently asking about building a video presence?” Add a few YouTube video URLs you’ve already made, or articles you’ve written on the topic. Let Gemini synthesise across those sources.
Then open that same notebook in NotebookLM. You now have a research base with Gemini’s synthesis plus your own source material. Run a few Q&A queries — “What are the three most common objections people raise about appearing on camera?” or “What video topics haven’t I covered yet that my audience keeps asking about?”
The answers give you a quarter’s worth of YouTube topics sourced directly from your own content and your audience’s real questions.
You can also do this in reverse: paste in a handful of competitor YouTube transcripts as sources, then ask NotebookLM “What topics are they covering that I haven’t?” A gap analysis in about four minutes.
The Audio Overview still works the same way — generate one from your notebook and you’ve got a podcast-style discussion of your own research to share, repurpose, or use as a recording script.
One Thing to Do This Week
Go to notebooklm.google.com. It’s free.
Create a new notebook. Upload one piece of content you’ve already created — a presentation, a PDF, an article, even a YouTube video URL of a talk you gave. Click “Generate” on the Audio Overview.
Listen to the first five minutes.
You’re not listening to judge the AI. You’re listening to hear your own expertise reflected back at you in a format you wouldn’t have produced yourself. It’s a useful mirror.
Then decide: is there something in there worth sharing with your audience?
Most of the time, the answer is yes.
A Note on What This Isn’t
This isn’t a magic shortcut. The quality of what NotebookLM produces is directly tied to the quality of what you put in. Feed it a shallow blog post and you’ll get a shallow Audio Overview.
Feed it a framework you’ve spent fifteen years developing — a document that captures real thinking — and you’ll get something worth listening to.
The Invisible Expert problem isn’t a lack of ideas. It’s that those ideas are locked in formats that most people never encounter. NotebookLM is one of the better unlocking tools I’ve found.
What’s the one piece of content sitting in your archives that would make a great episode? Tell me in the comments, I’m curious.
Take care,
Neil.




I love NotebookLM
Combined with Claude Code and Obsidian it's absolutely mind blowing.
Create skills to move video ideas from research using Claude Code, sending those sources to NotebookLM, create artifacts, and then send it into Obsidian vaults, back it up to Github and you have a goldmine of content you can pull from.
But NotebookLM being free is just bonkers, a really healthy quota of sources everyone gets and if you have a paid Google account you get even more quota
Just found your post and joined Notebook. Now I’m stuck down the rabbit hole of endless recycling of old data and other peoples ideas to find solutions to problems I never thought I had. 😉 Thanks.