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The narrator shows how to create over 1,000 YouTube Shorts quickly using ChatGPT and Canva.
ChatGPT generates titles, descriptions, hashtags and content. An engineered prompt provides 50 sets of facts with different types and formats.
In Canva, a YouTube Shorts template is customized by adding a background video, text placeholders, and connecting the ChatGPT data.
The bulk creation tool connects the data to the text placeholders and generates 49 videos with unique text and timing.
The videos can be downloaded and uploaded to YouTube and other platforms. Thousands more can be created by repeating the process.
No professional skills are needed. It's all automated with AI.
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The Traffic Bomber Method involves copying and pasting your content across different high-traffic websites to drive visitors back to your site. The narrator shares 6 free websites to use:
LinkedIn, Quora, and Medium allow you to copy full articles. This helps with SEO and brand awareness. Include backlinks in your content to drive traffic back to your site.
Mix, Pinterest, and Slideshare allow you to share links and summaries. This exposes your content to millions of monthly visitors.
The narrator challenges viewers to implement this strategy for 10 days and report back on increased website traffic. He also invites people to join the H-Educate forum to connect with the community.
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The narrator recommends creating free online tools related to your niche to attract organic traffic and backlinks. Group tool ideas using Ahrefs keywords explorer, then organize them into a hierarchy using ChatGPT. Build the tools with ChatGPT as well. Connect the tools through internal links to form a "tool hub." This allows the tools to share backlink value. To get initial backlinks, find sites linking to inferior competitor tools and pitch yours as an improvement. As your tools rank higher, more links will come. Veed used this strategy to get millions of organic visits.
Specifically, the steps are:
The narrator tests an AI voice of himself in a YouTube video, earning $214. In 2024, YouTube will require labels on videos using AI voices to avoid misleading viewers, especially on sensitive topics. Prominent labels may only appear for realistic depictions that could deceive people. Casual use of AI voices likely won't require labels. YouTube wants to caution viewers without overusing labels. For most creators AI voices won't impact day-to-day work.
Realistic fake videos like deep fakes are concerning. AI voices will rapidly improve. Labelling helps inform viewers without constantly warning them. The narrator's video doesn't mislead people. If asked whether his video uses AI that could misinform, he would say no. Demonstrating use of 11 Labs text-to-speech. His viewers weren't fooled.
YouTube policies already prohibit reused, repetitive content. AI voices make exploitation easy. The problem isn't the tools but misuse hurting the platform's integrity and failing to reward original work. AI can help creatively transform content. Recommends reading YouTube article.
The narrator posted 300 YouTube shorts in 30 days on a new YouTube channel to test the results. The goal was to determine if quantity or quality is more important on YouTube.
The narrator used ChatGPT and Canva to easily create the 300 shorts. The shorts followed formats and titles similar to the channel Daily Facts Worth.
After 30 days, the shorts received 131,000 views, 3,600 likes, and 318 new subscribers. The most popular video had over 5,500 views. However, 228 shorts had less than 100 views.
This shows it's a "numbers game" on YouTube. The narrator concludes that this strategy could be effective for quickly growing a new channel to 1,000 subscribers. Once monetized, shorts could also drive affiliate marketing sales.