An experiment by Peec AI researcher u/robtherobber involved launching stateglobe.com, a website hosting 50,000 entirely fabricated statistics generated in a single day using GPT-4.1, covering SEO, content marketing, social media, e-commerce, and web technology across 200 countries. Built on a $50 budget, the site initially gained traction on Google but was quickly deindexed following two Google algorithm updates, reducing visibility to negligible levels. However, ChatGPT continued to retrieve and cite the fake data, with Cloudflare recording over 600,000 bot requests in the last 30 days—72,000 from ChatGPT-User alone—indicating ongoing real-time retrieval. Over seven months, the site accumulated over 330 referring domains, including major brands like Shopify, Bluehost, and DHL, and its fabricated statistics were cited in academic papers, investment research by Qatar’s largest financial group, and reports from Indian and Canadian publications. The study highlights that LLM retrieval is distinct from traditional search engine ranking; ChatGPT rewrites prompts into fanout queries, retrieves relevant pages, and grounds responses without verifying factual accuracy. This creates a "citation laundering" effect where fake data gains perceived credibility through successive citations. The author emphasizes that while the tactic is effective, it should not be used to publish false content, and instead recommends building legitimate statistics pages with proper sourcing, freshness indicators, and optimization for LLM-style queries.