There’s a gap between deciding to implement an AI SEO framework and actually implementing one effectively. That gap is filled with common mistakes — not technical failures, mostly, but strategic and organizational ones that undermine even well-designed programs before they produce meaningful results. Having visibility into these patterns before you start is genuinely valuable. Most are preventable if you know to look for them. Mistake 1: Treating AI as a Replacement for Strategy The most pervasive mistake is expecting AI tools to produce strategy rather than inform it. Feed a site into an ML-powered audit tool, get a list of…
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