5 Claude AI Prompts That Helped Generate 2.7 Billion Views on One Channel
An AI-powered content automation system can now handle competitor research, scriptwriting, and channel branding for a faceless YouTube Shorts channel, and one creator has documented earning $60,000 in 90 days using exactly this approach with Claude AI and ChatGPT.
This is not a promise that everyone who tries it will earn the same amount.
It is a real, verifiable breakdown of the workflow, the tools, and the specific steps behind it.
We strongly recommend that you check out our guide on how to take advantage of AI in today’s passive income economy.
Table of Contents
Why 2026 Is a Strange Window of Opportunity for Faceless YouTube Shorts
A creator who runs a faceless YouTube Shorts channel focused on “interesting facts” videos recently shared dashboard data showing 369 million views and roughly $60,000 in profit over a 90-day period.
Zoomed out over a full year, the same channel reportedly crossed 2.7 billion views and more than $236,000 in total profit.
What makes this worth paying attention to isn’t the headline number.
It’s the timing.
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Google Trends data cited by the creator shows search interest in “YouTube automation” and “faceless YouTube” sitting at a five-year low, well below its 2023 peak.
Fewer people are starting channels like this right now than at almost any point in recent years, even though the niche keeps producing large view counts.
At the same time, YouTube Shorts RPMs (the amount paid per 1,000 views) have reportedly climbed sharply, with the creator showing one older Short that earned 9 cents per 1,000 views compared to a newer Short earning 38 cents per 1,000 views on the same channel.
That’s the kind of shift that makes an AI content automation system worth building now rather than later.
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What an AI Content Automation System Actually Replaces
Making a faceless YouTube Short used to mean hours of manual work.
A creator had to study competitor channels by hand, brainstorm topic ideas from scratch, and write every script line by line.
An AI-powered content automation system compresses that into a repeatable, mostly automated pipeline.
In this documented workflow, Claude AI handles competitor research and script generation, while ChatGPT handles the visual branding side of setting up a new channel.
Together, the creator estimates this removes roughly 80 percent of the manual labor that used to go into building a Shorts channel from zero.
That’s the real value of an AI content automation system: not that it removes effort entirely, but that it removes the slowest, most repetitive parts of the process.
If you’re building any kind of content or product business around AI tools, this same principle of automating the repetitive research layer is what The AI Traffic Vault walks through in more depth.
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Step One: Finding a Niche With Proof It Works
The niche used in this case study is “interesting facts” content — short, 20 to 30 second videos that mix TikTok clips with AI-generated footage and a voiceover explaining a topic.
Channels in this space, such as ones focused purely on animal facts or Japan-related facts, regularly post videos that pull in hundreds of thousands to millions of views within days.
The advantage of this niche is flexibility.
It can be adapted to almost any topic a creator is genuinely interested in, which makes long-term content production far less exhausting.
Picking a proven niche format first, before touching any AI content automation system, is still the foundation every faceless channel is built on.
Step Two: Using Claude AI to Analyze Competitors and Generate Video Ideas
This is where the AI-powered content automation system starts doing real work.
The documented process involves installing the free VidIQ Chrome extension, then connecting it inside Claude AI through the connectors menu.
Once connected, a creator can paste in a competitor channel’s ID and ask Claude to run a full competitor breakdown, analyzing that channel’s most viral videos automatically.
From there, a simple follow-up prompt — asking for the five best video topics, reference links, and full summaries — turns hours of manual research into a single conversation.
This is the exact kind of repeatable prompt structure that turns Claude AI into a genuine research assistant rather than just a chatbot, and it’s a core part of how an AI content automation system saves time at scale.
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Step Three: Turning Research Into a Script With Claude AI
Once a promising video topic is identified, the next prompt asks Claude AI to write a full 30-second video script based on that proven topic summary.
A second, more technical prompt then breaks that script into individual clip segments, specifying exactly what should be shown on screen during each part of the voiceover.
This two-step scripting process is what makes the AI content automation system usable by someone with no scriptwriting background.
It also keeps the output structured enough to hand directly to a video editing tool without extra formatting work.
Step Four: Assembling the Video With Real Footage and AI Clips
The documented workflow uses Viblo.ai, a browser-based video editing tool with built-in AI generation features and a 7-day free trial.
The voiceover script from Claude AI gets pasted into Viblo’s speech tool, where a voice option (commonly referred to in the creator community as “Adam”) reads the script aloud automatically.
For visuals, the creator recommends a mix of real TikTok clips found by searching the clip descriptions Claude generated, combined with AI-generated video clips for footage that’s harder to source.
This mix matters — an AI content automation system that relies entirely on AI-generated video tends to look less convincing than one blended with real footage, and blending the two is part of what keeps retention and watch time healthy.
Captions get auto-generated inside Viblo as well, with styling options like bold random-color text to keep viewers engaged through the full clip.
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Step Five: Using ChatGPT to Set Up and Brand the Channel
While Claude AI drives research and scripting, ChatGPT handles the branding side of the AI-powered content automation system.
This includes generating a short, memorable channel name, a simple logo, a matching banner image, and a properly formatted channel description.
The creator emphasizes keeping this part simple — a clean one or two-word channel name and a minimal logo tend to perform better than anything overly complex.
Before any of this branding work happens, though, the creator recommends “warming up” a brand-new channel by using it like a normal viewer for a few days: watching Shorts, liking videos, subscribing to a few channels, and verifying a phone number through YouTube Studio’s settings to unlock intermediate feature eligibility.
This step builds trust with YouTube’s systems before a channel starts publishing content, and skipping it is one of the more common reasons new channels underperform early on.
What This Case Study Actually Proves About AI Content Automation
It’s worth being direct about what this data does and doesn’t show.
The $60,000 figure, the 369 million views, and the RPM numbers all belong to one specific creator’s one specific channel, verified through their own dashboard screenshots.
They are not a guarantee, and results in any content business vary heavily based on niche, consistency, and execution.
What this case study does demonstrate clearly is that an AI content automation system built around Claude AI for research and scripting, paired with ChatGPT for branding, can meaningfully cut down the manual workload of running a content channel.
That’s the transferable part — not the exact dollar figure, but the workflow structure itself.
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Building Your Own AI Content Automation System From Here
If you’re starting from zero, the order of operations documented in this case study is worth following closely: pick a proven niche, use Claude AI for competitor research and scriptwriting, use a video tool like Viblo.ai to assemble footage and captions, then use ChatGPT to handle the branding layer before you post your first video.
None of these steps require advanced technical skill, and most of the heavy lifting is handled through prompts rather than manual labor.
Posting consistently — one to two videos a day for at least a few weeks — is what separates channels that plateau early from ones that build real momentum.
An AI-powered content automation system removes the bottleneck of production speed, but consistency is still the part no AI tool can do for you.
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We strongly recommend that you check out our guide on how to take advantage of AI in today’s passive income economy.
