Dual-Agent SEO Pipeline: AI Research & Blog Generation → Auto-Publishing to WordPress

Problem:

A content and SEO team was manually researching topics, writing blog outlines, drafting posts, and publishing them to WordPress, a multi-hour process per article with no consistency in SEO structure, tone, or output quality across different writers.

Solution:

Built a webhook-triggered n8n pipeline using two chained AI agents, the RVSCL N.SEO Agent (powered by BB SLM v1.3) handles SEO research and structures the content brief, which is passed to the RVSCL Blog Agent (powered by BB FineTuned v1.1.3) to generate the full blog post with a structured output parser ensuring clean formatting, the final post is logged as a record and published directly as a WordPress post via API, with a Perplexity API research layer and Airtable storage in the extended pipeline.

Result:

Reduced blog production time from hours to minutes, every article is now researched, written, structured, and published to WordPress automatically, with consistent SEO formatting and zero manual intervention between brief and live post.