Full SEO Automation System: Keyword Research to Published WordPress Post for Under $1/Week
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.
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The Strategy
Publishing two fully optimized blog posts per week without any manual input costs under $1 per week with this n8n automation. 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. Jake built the complete end to end workflow where 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.
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.
Frequently Asked Questions
The practical questions a builder or operator is likely to ask before trying a strategy like this.
What does this seo agencies SEO AI agent actually do?
This seo agencies SEO AI agent is a real workflow where the agent takes on an operational job, not just a brainstorming task. Full SEO Automation System: Keyword Research to Published WordPress Post for Under $1/Week shows what that looks like in practice. 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 practical value comes from the agent handling repeatable business work with enough autonomy that a human only steps in after context has already been gathered.
Who should use a seo agencies SEO AI agent like this?
This example is most relevant for seo agencies operators. It is especially relevant for businesses where speed to lead, after-hours coverage, or consistent intake quality directly affects revenue. The category here is SEO/SEM, which means the best fit is a team looking to turn a manual bottleneck into a repeatable system with a seo agencies SEO AI agent.
Which tools are used in this seo agencies SEO AI agent setup?
The source names n8n, Google Sheets, Perplexity, Claude, WordPress. That matters because one of the strongest signals in this directory is whether the operator shared the actual stack. Named tools make a seo agencies SEO AI agent strategy far more useful than vague claims about “an AI system” doing the work.
How hard is it to implement a seo agencies SEO AI agent like this?
Intermediate difficulty is the current read. The listing suggests a launch window of days. Startup cost is listed as under $50/mo. We were able to extract 12 concrete workflow steps from the source. We would treat a seo agencies SEO AI agent like this as a workflow that needs real business context, testing, and exception handling rather than something you should copy blindly from one prompt.
What results can a seo agencies SEO AI agent produce?
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.
How credible is this seo agencies SEO AI agent case study?
Right now the evidence comes from a YouTube video. That is enough for us to study and curate the workflow, but not enough on its own to treat this seo agencies SEO AI agent like an audited case study. We look for named tools, concrete results, and enough workflow detail to understand what was actually deployed, then we add our own editorial judgment on top.
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