SEO in the Age of AI-Generated Content

The temptation with AI content tools is to treat them as a publishing shortcut. That approach tends to produce exactly the kind of generic, low-value content search engines have gotten increasingly good at deprioritizing.

The more durable use of automation in SEO is upstream and downstream of writing: research, technical auditing, structured data deployment, and performance reporting. These are repeatable, rules-based tasks well suited to automation.

Content itself still benefits most from a human-in-the-loop process — AI-assisted drafting and research, with a strategist reviewing for accuracy, voice, and actual usefulness before anything publishes.

Treat automation as a way to spend less time on repetitive SEO operations, not as a way to skip the judgment that makes content worth ranking in the first place.