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Why I Started Exploring AI-Generated YouTube Content

Recently, I came across an article published by The Guardian discussing how a growing percentage of videos recommended to new YouTube users are AI-generated. The article highlighted a broader trend: low-effort, automated, or semi-automated content is increasingly visible across social platforms.

That caught my attention—not because of the numbers alone, but because I already work closely with AI tools in my day-to-day professional life. I review, test, and use multiple AI tools regularly for work and experimentation, so this topic naturally aligned with my interests.

Out of curiosity, I decided to explore this space further and understand what kind of AI-generated content exists, how creators are producing it, and whether it’s actually sustainable.

Observing the Trend First hand

Instead of relying only on articles or opinions, I went directly to YouTube and started searching for these types of channels myself. I found that many channels in this genre already exist, and new ones appear regularly. Most of them follow similar formats—short, repeatable storytelling, simple visuals, and consistent publishing.

To better understand whether these channels were purely experimental or actually monetized, I looked at publicly available data using tools like SocialBlade. These tools don’t provide exact income figures, but they do give rough estimates and growth patterns based on views, subscribers, and engagement.

What stood out to me was that several of these channels appeared to be monetized and consistently active. Even allowing for wide margins of error, it was clear that some creators are successfully running these channels at scale.

This wasn’t about chasing guaranteed income. It was about confirming that:

• The format exists

• The audience exists

• The workflow is repeatable

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Why I Decided to Try It Myself

At this point, I wasn’t interested in copying results blindly. I wanted to understand the process.

Since I had already written a separate article comparing paid AI tools versus free AI tools, I also wanted to see whether this type of content could realistically be created without expensive subscriptions.

Before starting, I asked myself three questions:

1. Can this be done using mostly free or freemium tools?

2. Is the workflow simple enough to repeat?

3. Can a single person realistically create this content?

To answer those questions, I decided to test it myself.

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Choosing DuckQuest as a Starting Point

While researching, I came across DuckQuest-style videos and found the format interesting. It was simple, story-driven, and visually consistent. Instead of experimenting with multiple ideas at once, I chose to start with one clear concept and understand it end to end.

Using AI tools, I recreated a similar style video purely as an experiment. I focused on:

• Story structure

• Visual consistency

• Workflow efficiency

The goal wasn’t perfection—it was learning.

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Once I completed my first video, I realized that the real complexity wasn’t the tools, but the prompts and structure used to guide them.

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Why Prompts Matter More Than Tools

During this process, one thing became very clear:
prompts drive outcomes more than tools do.

The same AI tool can produce vastly different results depending on:

• Prompt clarity

• Story structure

• Style consistency

Because of this, I started documenting prompts and workflows that worked better during testing. Over time, this turned into a separate resource where I share prompt examples for different viral-style AI video formats.

For readers interested in experimenting further, I’ve linked that resource separately so you can explore different ideas and prompt structures based on your own goals.

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What This Guide Is (and Isn’t)

This guide is:

• Based on personal testing and observation

• Focused on workflow, not guarantees

• Intended for learning and experimentation

This guide is not:

• A promise of income

• A shortcut to success

• A claim that all AI videos perform well

Results vary widely depending on creativity, consistency, and platform dynamics.

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Why I’m Sharing This

I enjoy working with AI tools and exploring how they’re applied in real-world content creation. This experiment helped me better understand:

• How AI-generated content is produced

• Why some formats scale better than others

• Where free tools are sufficient—and where they aren’t

Below, I’ve broken down the exact steps and flow I followed, so you can understand the process clearly and decide whether this is something you want to experiment with yourself.

Step 1: Finding Viral AI Video Ideas

First, find a Viral AI Video with the most views from your competitor in the same niche.

Look at their idea and format. Once you have an idea, head over to ChatGPT.

In ChatGPT, type something like:

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“Write a short story about a duckling that got stuck in a puddle and was saved by a kitten.”

Within seconds, ChatGPT will generate a creative and engaging story for you. Now you have a solid foundation to work with.

Step 2: Generating Visuals with Leonardo AI

The next step is to turn this story into visual prompts. Describe the key moments in your story using clear, vivid language.

Once your prompts are ready, go to Leonardo AI:

• Switch to Legacy Mode for better control.

• Use the Leonardo Kino XL model (free access, great quality).

• Set image resolution to a vertical 9:16 ratio (perfect for Viral AI Videos on YouTube Shorts).

Enter your first prompt, and let Leonardo AI generate an image. Review each image carefully, as AI might produce small distortions. Repeat this process for all your prompts.

Once satisfied, save all the images to a folder for the next stage.

Step 3: Creating a Song with AI

Now, head back to ChatGPT and type:

“Compose lyrics for a heartfelt song about a duckling and a kitten forming an unlikely friendship.”

ChatGPT will generate a song—review it to ensure it fits the mood of your story. We’ll handle the voiceover for the song later, but for now, let’s animate the visuals.

Step 4: Animating Your Images with Huo AI

To bring your images to life, use Huo AI, an amazing tool for animation. You’ll get free credits upon signing up, enough to complete your Viral AI Video.

1. Go to Huo AI and log in.
2. Select the Photo to Video mode.
3. Upload your images.
4. Use your Leonardo AI prompts in Huo AI to guide the animation.
5. Choose the Old Mode (works better than the new version).
6. Click Generate and let Huo AI animate your images.

Once all animations are complete, download them. The clips will have a watermark, but we’ll remove it in the editing stage.

Step 5: Creating the Song with Sonno AI

Head over to Sonno AI (link in the pinned comment). Here’s how to generate your song:

1. Log in using your Google account.
2. Click Create and enable Custom Mode.
3. Paste your ChatGPT-generated lyrics.
4. Select a song style.
5. Hit Generate and let Sonno AI create your song.

If you like it, download it for your Viral AI Video.

Step 6: Editing in CapCut

Now, let’s assemble everything in CapCut:

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• Import all your assets (animated videos, song, etc.).
• Drag the song to the timeline.
• Adjust the music volume.
• Remove the watermarks by resizing or cropping the videos.
• Add transitions:
  • Try Starlight, Slide Left, or Mix.
• Enhance with effects:
  • Go to Effects Tab and sync them with key moments.

Now, your Viral AI Video is almost ready!

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Step 7: Adding Sound Effects

• Return to ChatGPT and ask for sound effect keywords.
• Use those keywords to search for sound effects on Pixabay.
• Select and add them to your CapCut timeline.
• Adjust the volume so it complements the video.
• Use sound effects sparingly (every 2-3 seconds for atmosphere).

Step 8: Exporting the Final Video

1. Click Export.
2. Select 4K or 1080p resolution.
3. Hit Export and wait for rendering.

Step 9: Making Money Without YouTube Ads

Now, let’s talk money! Instead of relying on YouTube ads, here’s how you can make money with Viral AI Videos:

If your goal is to explore broader and more sustainable ways to earn using AI beyond just video creation, I’ve covered different real-world approaches in my Make Money With AI guide.

1. Sell Digital Products

• Create eBooks, online courses, or templates.
• Sell on Gumroad, Etsy, or your website.

2. Affiliate Marketing

• Recommend Leonardo AI, Huo AI, ChatGPT, and CapCut.
• Earn commissions from affiliate links in your video description.

3. Sponsorships

• Partner with brands once your channel gains traction.
• Use Grapevine or Channel Pages to find sponsors.

4. Merchandising

• Sell custom t-shirts, mugs, or posters via Teespring or Printful.

5. Sell Your YouTube Channel

• If your channel has a strong following, sell it on Flippa.

6. Publish a Children’s Book

• Use your AI-generated stories and visuals.
• Publish on Amazon KDP or Apple Books.

Want to start making viral AI videos? Get creative, experiment with AI tools, and start posting!

Conclusion

By using these strategies, you can diversify your income and stop relying solely on YouTube ads! Check out the videos on your screen now to dive deeper into Viral AI Videos and take your channel to the next level.

FAQ: Create Viral AI Videos Like Duck’s Quest Using AI