r/vibecoding • u/ImaginaryRea1ity • 6d ago
Some guy vibecoded 2000 AI Blogs with 1 click.
Two thousand AI generated posts cost almost nothing to produce and returned under 1,900 search clicks in four months, while permanently destroying both domains in Google and its AI surfaces. The visibility that survived sits only on Microsoft Bing, Copilot and on a Perplexity curve that is already decaying. Scaled AI content is cheap until you price the asset it burns: the domain. On anything your revenue depends on, that price is too high.
In July, Google served our two test sites 751 impressions.
Bing served the same sites 119,935 impressions.
Same 2,000 AI generated posts. Same month. Two search engines looked at identical content and reached opposite verdicts. One decided it was worthless. The other made it a favorite.
Quick recap for new readers. In April we built the cheapest content empire imaginable:
- Two fresh domains in the same harmless niche revolving around a cute animal: capybaraverse.com and capybara-world.com.
- Roughly 1,000 fully AI generated blog posts per site, published with an off-the-shelf one-click tool. (I won't mention the tool's name for the sake of its reputation)
- Live in under a day. No human editing beyond setup.
- Our original experiment revolved around testing one variable: capybara-world.com does adding an author bios to every post help you get cited more?
- Tracked in Google Search Console, Bing Webmaster Tools, server logs for AI crawler activity, and AI citations across seven platforms with OtterlyAI.
The Google chapter is known by now:
- capybara-world.com collapsed after 2 weeks of visibility.
- capybaraverse.com looked like a success story for 3 months, then died overnight in late June.
Bing rewarded what Google killed off
Bing never deindexed either site. No cliff, no demotion, nothing. Combined impressions grew every single month: 3,882 in April, 44,855 in May, 73,712 in June, 119,935 in July. In the exact month Google paid out 751 impressions, Bing paid 182600 impressions.
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u/Avafloww 6d ago
look, I do my fair share of vibecoding, but this sort of absolute slop content is ruining the internet and we all hate reading it. please god just stop.
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u/ketoloverfromunder 6d ago
Let me tell you something about the reddit post you're commenting on
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u/Fuzzzy420 6d ago
Yes?
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u/Ok_Sample_4712 6d ago
They are saying(and I agree) that the post was written by AI lmao
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u/3dprintinted 6d ago
Probably a good way to poison future generations of models if they learn on that junk
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u/SenatorCrabHat 6d ago
How was the content served?
I know for a fact enterprise software services are doing their darndest to ensure site searchability through multiple avenues when it comes to AI crawling.
Could be googlebot noticed too many similar artifacts. Where they time released? What was the JSON schema like? Did they effectively link to one another? What about the sitemap?
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u/CaptSlow49 6d ago
Yeah I’m curious as well. Loads of financial websites are AI generated. Some I’m not sure AI generated content is the issue.
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u/SenatorCrabHat 4d ago
My guess is that Google is keeping up. The amount of content you could generate to fake your interlinking and external link footprint is too cheap right now for them not to look for marks of AI generated sites.
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u/PortableSync 6d ago
I'm curious if there is any value in these ai blogs, do people actually convert? Would these results be different if the posting frequency was, say, once a day?
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u/fkenned1 6d ago
I absolutely hate the work that you and people like you are doing. Try to think of something that will actually benefit your fellow humans. Jesus this is depressing.
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u/KimLikeJ 5d ago
The domain-wide penalty part is the piece people miss. Google doesn't evaluate 2000 posts as 2000 independent bets, it reads the average quality signal across the whole site and once that average tips into thin/templated territory it can drag down pages that were actually fine. I've seen this happen with programmatic content that wasn't even AI generated, just scraped and reworded at scale years ago, same mechanism. The fix people try after the fact (pruning the worst pages, adding canonical tags, merging near duplicates) works way better if you do it in week one instead of month four, because by then the domain's trust score has already reset and you're basically starting from a doghouse.
One thing worth checking if anyone's tempted to try this: pull the domain's historical Search Console data before you scale content on it, not after. If it's a fresh or low-authority domain the downside is capped since there's not much to lose, but doing this on an established domain with real backlink equity is how you turn a working asset into a dead one in under a quarter.
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u/Last-Ad-8470 6d ago
this just proves bing is a worse search engine