There’s a version of the SEO argument that goes: Google now rewards content that genuinely helps users, so writing for readers and writing for rankings are the same thing. Helpful content update, E-E-A-T, all of that.
If that’s true, then AI-assisted content done well should be fine. You’re producing useful, accurate, well-structured content. The fact that a model helped you draft it shouldn’t matter.
But from my experience running content campaigns, I’m not convinced the “same goal” argument holds up cleanly in practice.
AI is very good at producing content that looks helpful. Comprehensive structure, clear headings, covers the question, includes examples. It mimics the surface signals of quality. The problem is it often lacks the specific, experience-based insights that actually make content useful to a reader who’s already done some research. Generic coverage of a topic is not the same as genuine expertise.
The SEO content optimization with AI approach works fine for informational queries where the user just needs a clear explanation. It starts to break down for anything where the reader is looking for real judgment calls — best practices in a specific industry context, nuanced comparison of approaches, that kind of thing.
Am I reading this right? Curious whether others have found specific content types where AI drafting holds up versus where it consistently falls short, even after significant editing and fact-checking AI outputs.