Peec AI Exposes LLM Citation Laundering

This is less a growth hack than a retrieval-integrity failure: LLMs reward relevance, freshness, and authoritative presentation far more reliably than truth.

• –Statistics are compact, quotable evidence that easily fill gaps in AI-generated writing.
• –Google visibility and LLM retrievability are increasingly separate channels; deindexing did not stop ChatGPT from finding StateGlobe.
• –Repeated citations can launder fabricated claims into apparent authority, including downstream research and reporting.
• –Developers building search, RAG, or agent systems need provenance, source-quality checks, and independent corroboration before trusting retrieved numbers.
• –The legitimate takeaway is to publish accessible, well-sourced original data—not to manufacture statistics.