A 70-step content & publishing automation, triggered by sub-workflow, connecting HTTP / REST API, Google Gemini, Google Sheets, WordPress, AWS S3, Google Drive and more, with built-in AI reasoning.
In plain terms: this writes and publishes content for you. It uses AI to understand and generate content, so it handles judgement-style work, not just moving data. It runs on demand, creates the piece, and pushes it to Google Gemini, Google Sheets, WordPress, AWS S3 — replacing hours of manual writing and posting.
70
Nodes
7
Integrations
86
Connections
Sub-workflow
Trigger
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The real node graph exported from n8n — triggers (green), AI nodes (violet), services and logic — laid out as they run.
⚙️ How it works
Pro_search· httpRequestTool
internal_links· toolWorkflow
url_search· httpRequestTool
ranked_keywords· toolWorkflow
related_keywords· toolWorkflow
keyword_ideas· toolWorkflow
When Executed by Another Workflow· executeWorkflowTrigger
Think· toolThink
2.5 Flash· lmChatGoogleGemini
2.5 Pro· lmChatGoogleGemini
2.5 pro· lmChatGoogleGemini
ai_mode· toolWorkflow
AI_mode· toolWorkflow
Prepare Input· set
💼 Business analysis
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Business use case
An end-to-end content production line — research, generation, formatting and publishing (HTTP / REST API, Google Gemini, Google Sheets, WordPress, AWS S3, Google Drive and more) — that lets one operator ship the output of a whole content team. It turns a keyword or brief into a published, SEO-ready asset.
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Market need
Content is the #1 demand-gen channel and the most time-expensive. Automating the pipeline collapses cost-per-article from hours to minutes.
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Market value
Content pipelines replace retainers of $1,500–$8,000/mo. Sold as a service or template, they carry strong recurring value tied to output volume.