martinbrook
Newbie
- May 20, 2026
- 16
- 10
There's a lot of debate around AI content, but I think people are focusing on the wrong problem.
The biggest issue isn't whether AI wrote something.
The problem is whether the final article says anything worth reading.
I've tested AI for research, outlines, first drafts, comparisons, FAQs, and content expansion.
The worst results were always when I treated the generated output as the final product.
The better workflow has been:
research → outline → AI draft → fact checking → editing → adding original information → final human pass.
Especially in competitive niches, generic AI writing is incredibly easy to recognize.
What made the biggest difference for me was adding things that weren't already repeated across the SERP.
Examples, observations, actual comparisons, original screenshots, and specific details.
Has anyone here found a good workflow for using AI without ending up with the same article everyone else is publishing?