How We're Transforming Blogs and Webinars into AI-Generated Podcasts and Voiceovers
Estimated Read Time: 5 minutes
Intended Audience: Microsoft Partners & B2B Marketers
Podcasting continues to grow as a high-impact marketing channel, with its ability to promote deeper engagement and strengthen brand recall. However, traditional podcast production demands expensive equipment, skilled hosts, and complex post-production.
That’s where AI audio generation transforms everything. AI voice generators and text-to-speech technology can convert written content into podcast episodes without requiring a single minute in a recording booth.
If you are sitting on a goldmine of existing content, AI podcast creation represents an opportunity to extend content reach and engagement while reducing production costs and time investment.
To explore how AI audio could support our marketing strategy, we began experimenting.
Our AI Audio Experiment: Turning Content into Podcasts
Experiment Goals and Success Metrics
- Expand Reach: Repurpose top blogs and webinars for podcast audiences.
- Reinforce Brand Voice: Deliver our tone through compelling AI-generated audio.
- Reduce Production Demands: Eliminate the need for physical studios and traditional recording setups.
- Audio Quality: Does it sound natural or robotic?
- Brand Voice: Does it reflect our tone and style?
- Ease of Use: How intuitive is the AI platform?
How AI-Generated Audio Align With Our Marketing Strategy
Creating AI-generated audio is just the first step. The real value lies in how we use it. Our goal is to integrate audio strategically across multiple touchpoints to extend content reach and improve accessibility.
Here’s how we envision putting AI audio into action:
- Enhancing Blogs with Audio: Embedding AI-generated narrations directly into our blog posts so readers can choose to listen instead of reading. This not only improves accessibility but also increases time spent on the page.
- Testing and Comparing Formats: Measuring how audio content performs against written blogs, tracking engagement, reach, and conversions to understand whether our audience prefers to read, listen, or mix both.
- Publishing to Podcast Platforms: Testing audio distribution on platforms like Spotify, Apple Podcasts, and YouTube to connect with audiences who prefer to consume content on the go.
- Repurposing for Social Media: Using short audio clips and soundbites on LinkedIn, Instagram, and YouTube to amplify reach and create more dynamic, multimedia content.
- Exploring Episodic Content: Evaluating the potential of developing a branded AI-generated podcast series that builds thought leadership and keeps our audience engaged over multiple episodes.
By combining accessibility, distribution, and experimentation, we aim to make AI audio a meaningful part of our content strategy.
Our AI Podcast Workflow
We’ve developed a repeatable AI-generated podcast workflow:
1. Select a high-performing blog post or webinar transcript.
2. Generate voice narration using AI text-to-speech tools.
3. Enhance with intros, music, and brand elements.
4. Publish across podcast platforms and repurpose clips for social media.
5. Track listener metrics to optimize future episodes.
This approach makes production scalable, cost-efficient, and consistent with our brand voice. With the process set, our next step was testing tools to find the best fit.
AI Tools We Tested for Audio Generation and Podcast Creation
Microsoft Copilot Notebooks
Creates AI-generated audio to give an overview of documents in the Microsoft Copilot Notebooks section.
Pros:
- Quick audio generation from documents.
- Integrated within Microsoft Copilot workspace.
Cons:
- Robotic voice output with awkward pauses.
- No editing or download capabilities.
- Limited or no voice customization options.
Google NotebookLM
Google NotebookLM leverages the latest Gemini model to create AI-generated voice narrations for content overview of documents or URLs, with downloadable audio files.
Pros:
- More natural, conversational tone.
- Downloadable audio files for distribution.
- Free to use with a Google account.
Cons:
- Lacks advanced editing capabilities.
- Limited selection of voices and styles.
ElevenLabs
ElevenLabs specializes in ultra-realistic AI voice generation and voice cloning, with advanced customization controls. We previously tested this platform to create a blog narration audio file.
Pros:
- High-quality, natural-sounding AI-generated voices.
- Adjustable speed, stability, and similarity settings.
- Wide variety of voice options to match brand tone.
Cons:
- Uses significant credits for full audio exports.
- Minor synthetic artifacts are still present in some voices.
Wondercraft
Wondercraft is a platform focused on AI-generated podcast production, offering script editing, voice customization, and integrated distribution.
Pros:
- Strong customization for podcast-style audio.
- Ability to edit scripts and insert prompts.
- Potential for AI-generated podcasts with professional polish.
- For upgraded plans, you can upload audio files from Google NotebookLM and edit them.
Cons:
- Some advanced features are locked behind a paid plan.
- Slight learning curve for new users.
- Requires manual script input rather than direct blog-to-audio generation.
Async
Async provides an editing suite for both audio and video, with AI voice generator features for narration.
Pros:
- Flexible editing tools for polishing podcasts.
- Ability to customize voices.
Cons:
- Voices sound more robotic than other platforms tested.
- Requires a prepared script before generating audio.
Our Verdict?
Google NotebookLM currently offers the best balance of quality and usability, but platforms like ElevenLabs and Wondercraft show significant promise for more natural, customizable AI-generated podcasts.
AI audio platforms are constantly evolving, so our focus now is scaling while aligning with our long-term strategy.
What’s Next? Scaling AI-Generated Podcasts
- Testing Other Audio Generation Platforms: Evaluating tools like ElevenLabs, Wondercraft, Play.ht, and Podcastle to improve voice quality, editing flexibility, and distribution efficiency.
- Multilingual Content Strategy: Using AI voice generation to create sound bites for our most popular blogs in different languages, expanding our global reach.
- Interactive Podcast Series: Developing episodic content that builds on previous episodes, using AI to maintain narrative consistency across multi-part series.
- Tracking Listener Interactivity: Exploring AI capabilities for creating customized audio content based on listener preferences and engagement history.
Ready to Turn Your Content into Podcasts with AI?
Our AI podcast initiative is about more than testing voice quality, it’s about discovering how audio best fits into our strategy and our clients’ strategies. Whether through embedded blog narrations, a branded podcast, or distributed clips, AI-generated audio unlocks new ways to connect with audiences.
Ready to turn your blog archive into a podcast? Get in touch with Maven Collective to explore our AI Content Packages and start turning your long-form content into engaging audio experiences.
Follow our AI podcasting journey:
We’ll also be releasing our first AI-generated podcast episodes on YouTube, where we’ll share our process, experiments, and learnings. Once those episodes are published, subscribe to us on YouTube to follow along:
