A French SEO agency uses a three-layer AI pipeline combining a client-specific RAG knowledge base, n8n orchestration workflow, and Claude Code QA loop to generate 50-100 SEO content pages per client project per week. This approach maintains cluster coherence, brand voice, and internal linking, overcoming typical issues of raw LLM content generation. The system includes human inputs for briefs, cluster maps, voice corpus, and QA rules, with iterative AI feedback loops and human escalation for quality control. The pipeline enables shipping 100 pages/week with controlled API costs and error handling.
Use Case
Opening the operator briefing
Pulling the full operator breakdown, tooling context, and verification notes.
