AI SEO Content Pipeline: SERP Scraping → 3-Agent Writing, Optimization & Humanization → Google Drive Delivery

Problem:

An SEO content team was manually researching top-ranking pages for target keywords, scraping competitor content, writing optimized articles from scratch, and then editing for tone and readability, a multi-hour process per article that made scaling content production impossible without hiring additional writers.

Solution:

Built a webhook-triggered n8n SEO pipeline that extracts the target keyword, fetches the TOP 3 Google SERP results, structures the results, loops over each URL to fetch raw HTML content, and runs a nested loop processing each piece through two parallel paths, a concatenation path feeding a Data Extractor and Summarizer Agent that distills key insights, and a cleaning path that extracts and formats the content, all outputs feed sequentially through three specialist OpenAI agents: an SEO Copywriter Agent that writes the optimized article, a Humanize Text Agent that rewrites it to sound natural and authentic, and a final Google Drive node that creates the finished file with a success confirmation message.

Result:

Delivered a fully automated SEO content pipeline that researches live SERP competitors, extracts their key points, writes an optimized article, and humanizes the output, producing Google Drive-ready content from a single keyword input with no manual research, writing, or editing required.