NEOPOLIS AKADEMY
Autonomous SEO agency made up of multiple agents
Exercise to design an automated multi-agent SEO “agency”: SERP collection, brief generation, ranking monitoring. Uses n8n, GPT-4 and SerpAPI to orchestrate recurring tasks with human oversight.
View this course on Akademy ↗Enrolment and practical details are available on Neopolis Akademy.
What you will explore
Introduces a cooperative-agent architecture for SEO tasks: SERP scraping, analysis and recommendation generation.
Shows integrating SerpAPI to fetch ranking data, GPT-4 to draft briefs, and n8n for workflow orchestration.
Emphasizes human review loops and validating recommendations before performing any external actions.
STEP BY STEP
Course programme
01Autonomous SEO agency made up of multiple agents
Build a small autonomous SEO agency made of cooperating agents. The practical work explains how to orchestrate automated workflows (n8n) together with language models (GPT‑4) and SERP analysis APIs (SerpAPI) to generate and prioritize actionable SEO tasks.
Goal overview: assemble an autonomous SEO agency structured into specialized agents.
Environment setup: API connections, accounts and n8n configuration.
Stepwise build: pipelines for keyword research, page audits and brief generation.
Security checkpoint: key handling, API limits and operational best practices.
Explore this module on Akademy ↗Programme source: Neopolis Akademy. Original course page