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Keywords vs. What AI Actually Reads: Why the 200-Keyword Report Is Optimizing for a Dead Machine

Search engines stopped counting words in 2013 - and modern AI engines like ChatGPT, Perplexity, and Gemini never counted them at all. This article traces Google's decade-long shift from word-matching to meaning (Panda, Hummingbird, RankBrain, BERT, MUM), explains embeddings and semantic search in plain language, and reveals the counterintuitive truth: keyword stuffing doesn't just fail with AI - it actively makes your pages harder to cite. The piece breaks down query fan-out, why visibility is now measured in AI citations rather than rankings, and why the real problem isn't keywords themselves but how they're sold as orphaned lists. It closes with a five-step system for weaving keyword research into topic clusters, internal linking, and citation tracking - the approach OnPagePilot is built around.