Publish fake stats, get cited in LLMs
What happened
Around seven months ago the author created a site, stateglobe.com, and used GPT‑4.1 to generate 50,000 completely fabricated statistics about SEO, content marketing, social media, e‑commerce and web technology, costing about $50. The pages were indexed quickly, attracted links from over 330 domains and more than 10,000 AI sessions, and even appeared in an academic paper and a bank’s investment research. Google later de‑indexed the site, but ChatGPT continued to query it, sending roughly 72,000 requests in the last month alone. In total the site logged over 600,000 bot requests in the past 30 days, showing how LLMs can surface false data at scale.
Why it matters
It shows that AI models can amplify misinformation by citing fabricated sources, which can mislead professionals who rely on AI‑generated answers. Ordinary readers should be aware that not all data returned by chatbots is verified.
Reality check
An automated, sceptical read of the sourceIncremental. The experiment demonstrates a known risk of LLMs pulling from low‑quality web content rather than introducing a fundamentally new technology.
Is this a big deal?
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