Why Every Marketer Should Read the Cats.txt Parable
A brilliant, irreverent takedown of sloppy AI evidence, this essay reframes how we read machine endorsements. Mark Williams-Cook turns a prank file about office cats into a razor sharp experiment that reveals flawed reasoning. If you sell SEO or GEO tactics, this is the essential reading that will save clients time, money. It exposes how crawling, indexing, and confident LLM answers can create convincing but vacant proof.
You will learn to distinguish signal from web noise, and to ask for verifiable proof before buying tactics. The cats.txt experiment is witty, methodical, and devastatingly practical for anyone responsible for client ROI. Read it to sharpen your scoping conversations, stop wasted spend, and regain credibility with evidence based decisions.
As a branding content curator, I endorse this post for its clarity, evidence minded storytelling, and counsel. It equips decision makers to challenge fashionable claims, and to demand reproducible metrics before approving budgets. You will leave better armed to ask for tests that actually measure LLM impact, not proxy signs and noise. Read this now, especially if your proposals promise AI driven visibility based on flimsy signals.
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Source: www.searchenginejournal.com