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@isabellaspencer_: 🫧🦋 #relatable #australia #goldcoast

isabella spencer
isabella spencer
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Region: AU
Tuesday 17 February 2026 23:48:07 GMT
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ml.vera23
Ml.Vera :
I wasn’t expecting to come across a page that fits so well with a direction I’m developing.
2026-02-18 11:11:42
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usualwines
Usual Wines :
For real
2026-02-23 22:55:31
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They Went From 22,000 Indexed Pages to 1. Here's the Full Story. A startup started publishing AI-generated pages programmatically. Scrape a source, run it through a model, publish it, repeat — zero human review. They built over 22,000 pages this way. The founder, Miki Palet, later acknowledged that most of the content had little direct connection to the product. For about three months, it worked. By February 2025, the pages were pulling around 130 clicks a day. Then, on February 28th, clicks from Google fell to zero overnight. Palet wrote the whole story up publicly, to his credit, and says he still doesn't know exactly what triggered it. His best guess — and a reasonable one — is that the site fit the profile of what Google's spam policies call scaled content abuse: large volumes of pages produced primarily to capture rankings, with little value underneath. Over the following months, the site's indexed page count dropped from over 20,000 pages to just one: the homepage. The lesson isn't that AI content is inherently risky. It's that AI makes it dangerously easy to produce thin content at a scale Google was never going to reward. What you'll learn: – What happened when a startup published 22,000 AI-generated pages with no review – What Google's scaled content abuse policy actually targets – Why the traffic collapse happened suddenly with no warning – The real lesson behind the case — and what to do differently 🔗 Try Surfer: https://surferseo.com #SEO #GoogleSEO #Surfer #SEOTips #AIContent #GoogleUpdates #ContentStrategy #SEOCaseStudy
They Went From 22,000 Indexed Pages to 1. Here's the Full Story. A startup started publishing AI-generated pages programmatically. Scrape a source, run it through a model, publish it, repeat — zero human review. They built over 22,000 pages this way. The founder, Miki Palet, later acknowledged that most of the content had little direct connection to the product. For about three months, it worked. By February 2025, the pages were pulling around 130 clicks a day. Then, on February 28th, clicks from Google fell to zero overnight. Palet wrote the whole story up publicly, to his credit, and says he still doesn't know exactly what triggered it. His best guess — and a reasonable one — is that the site fit the profile of what Google's spam policies call scaled content abuse: large volumes of pages produced primarily to capture rankings, with little value underneath. Over the following months, the site's indexed page count dropped from over 20,000 pages to just one: the homepage. The lesson isn't that AI content is inherently risky. It's that AI makes it dangerously easy to produce thin content at a scale Google was never going to reward. What you'll learn: – What happened when a startup published 22,000 AI-generated pages with no review – What Google's scaled content abuse policy actually targets – Why the traffic collapse happened suddenly with no warning – The real lesson behind the case — and what to do differently 🔗 Try Surfer: https://surferseo.com #SEO #GoogleSEO #Surfer #SEOTips #AIContent #GoogleUpdates #ContentStrategy #SEOCaseStudy

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