I run a French SEO agency from Siem Reap, Cambodia. We've shipped 1,300+ semantic content clusters for 650+ brands — typically at 50 to 100 pages per project per week.
That cadence is impossible with a traditional content team. It's also impossible with raw LLM generation: the output looks fine in isolation and rots when you read three pages in a row.
What works is a three-layer pipeline that treats content like a production line, not a creative process. Here's the actual stack.
The problem with "AI content" as people usually do it
Most "industrial AI content" implementations look like this:
