Full SEO Automation System: Keyword Research to Published WordPress Post for Under $1/Week
Jake built a complete n8n workflow with 4 AI agents that finds keywords, writes content, generates images, and publishes to WordPress automatically — for less than $1 per week
The Strategy
Jake built a complete end-to-end SEO automation using n8n that runs on a schedule and publishes two fully optimized blog posts per week without any manual input. The system uses four sequential AI agents — preliminary plan, research, final plan, and writing — plus dedicated agents for inline linking, HTML generation, image creation, title/slug/summary generation, and automatic WordPress publishing. Topics are pulled from a Google Sheet and the completed column updates automatically after each post goes live. The research agent uses Perplexity Sonar Pro to pull real citations and sources, the writing agent uses Claude for long-form output, and images are generated using Nano Banana through Kie AI. The entire workflow costs under $1 per week to run.
How It Works
Schedule trigger fires automatically at set intervals — or use manual trigger for on-demand publishing.
Google Sheets node pulls the first row where the completed column is set to No — ensuring only fresh topics are processed.
Preliminary plan agent (GPT-5 + think tool) turns the raw topic into a rough outline and direction.
Research agent (Perplexity Sonar Pro) pulls citations, facts, and credible sources tied to the topic.
Final plan agent (GPT-5 + think tool) combines the outline and research into a structured, SEO-aligned content plan with keywords and search intent mapped from the sheet.
Writing agent (Claude + think tool + calculator) generates a full publication-ready article from the final plan and research citations.
Inline links agent fetches all completed blog posts from Google Sheets, aggregates them, and automatically weaves relevant internal links into the new draft.
HTML generation node (GPT-5) converts the article into clean, publish-ready HTML.
Slug, title, and summary agent generates SEO-optimized metadata for the post.
Nano Banana via Kie AI generates a hyperrealistic custom image based on the title and summary — workflow polls until image is ready before continuing.
HTTP request node publishes the completed post directly to WordPress via OAuth2 authentication.
Google Sheets updates the original row to completed and appends the post title, keywords, summary, and URL to a dedicated completed sheet.
Results
System publishes two fully optimized blog posts per week for under $1 total cost. Jake is actively using this system to rank for competitive keywords in the AI space. Full workflow demonstrated live in the video with every node, prompt, and automation explained step by step.
Our Take
This is one of the most complete SEO automation walkthroughs available — Jake shows every single node. The four-agent planning pipeline (preliminary → research → final plan → writing) is well-designed and mirrors how a professional content team would actually work. Using Perplexity Sonar Pro for the research agent is a smart choice since it pulls live citations rather than hallucinating sources. The inline linking agent is a detail most builders skip but it compounds SEO value significantly over time. The under $1/week cost is credible given the tools used. The main limitation is setup complexity — this is an Intermediate build requiring n8n familiarity, API keys for multiple services, and WordPress OAuth2 configuration. Not a beginner weekend project, but the video walks through everything.
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