AI writing tools promise infinite content for pennies. Thousands of sites took the bait in the last two years — and thousands watched their traffic evaporate in the next core update. The problem was never that Google can 'detect AI'. The problem is what mass-produced AI content is: thin, derivative, and identical to a hundred other pages answering the same query.
What Google actually punishes
Google's helpful content systems don't run an AI detector. They measure whether a page adds information beyond what already ranks: first-hand experience, original data, expert judgment, specific examples. Raw LLM output has none of these by definition — it's a statistical average of what's already published.
That's why sites that pasted 500 AI articles saw sitewide demotions: the classifier works at the site level. A few weak pages drag down your strong ones.
How to use AI without the risk
AI is genuinely useful for research, outlines, briefs and first drafts. The line that matters: a subject-matter expert must add what the model can't — real experience, real numbers, real opinions — and a human must own the final edit.
Our rule for client content: if a page could have been written by someone who never worked in the industry, it doesn't ship.
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