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A blogger on X saw a side project video site earning over $500/month by doing only one thing: reworking its SEO with AI at the end of August.

Outbound developer Jarvis tested a video site built for practice. At the end of August, I used AI to completely redo the SEO optimization. In about two months, revenue broke through $500 this month. The next goal is to earn $1k per month. The amount isn't huge, but the path is clean:

Summary

Review the results before exploring further

Outbound developer Jarvis tested a video site built for practice. At the end of August, I used AI to completely redo the SEO optimization. In about two months, revenue broke through $500 this month. The next goal is to earn $1k per month. The amount isn't huge, but the path is clean: An old site plus AI SEO transformation can start generating volume, verifying that Google's AI content combined with structured optimization remains effective. Key takeaway: Hand over idle sites or newly registered domains to AI for SEO transformation (keyword layout, internal linking, batch content generation). Verify results over a two-month cycle; once the process is proven, replicate it across a site network.

Our Take

Three things to consider about this case

Why it matters
Complete one piece of content first, check quality and manual revision time, then consider batch production.
Who it suits
Suitable for reference by those who already have similar needs and can verify effectiveness through small tasks.
What to check first
The achievements mentioned in the summary belong to the author's self-report; distinguish between revenue and profit, and consider costs, man-hours, and reproduction conditions.
Our Suggestions / Try This
Who it suits
Content operators and e-commerce practitioners
What to try first
Select one product or set of materials for a small-scale test, recording publication and feedback.
What to measure
Compare genuine inquiries, clicks, and transaction feedback, recording costs and revenue separately.
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What should you ask before trying this?

  • What specific need does this practice solve for you?
  • How should the minimum viable test be accepted, and how much time needs to be invested?
  • Which steps still require human processing and continuous maintenance?
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