🎬 Research-based article generator with OpenAI and web search for high SEO scores
⚡ 4,191 views · 🎬 Content Creation & Video
Description
Generate research-backed article with n8n
Who’s it for
Content marketers, SEO teams, and founders who need fast, research-grounded blog posts or long-form articles—multi-language included. Works well for teams that want citations, outlines, and section-by-section drafting with minimal manual effort.
How it works / What it does
Use a Form to collects domain, keywords, and target language.
The workflow refines keywords, finds recent articles and authoritative citations, then synthesizes a master outline and loops through each section: generate search queries → fetch web results → summarize findings → write the section with the advanced model.
Finally, it aggregates all sections into a clean Markdown article. Optional delivery nodes (Email, Telegram) and an AI Agent are included but disabled by default.
How to set up
- Import the workflow JSON into n8n.
- Add your OpenAI credential
- Set
simple_model/advanced_modelin LLM Params
Requirements
- n8n instance with outbound internet access.
- OpenAI API access (Responses API +
web_search_preview). - (Optional) Email/Telegram credentials if you want to deliver results async
How to customize the workflow
- Edit prompts in LLM Params and Section Prompts to match tone, structure, and SEO style
- Tweak recency and source rules in Search Articles / Search Citations.
- Insert a human review step before “Write Section”, enable delivery nodes
- Change working/output languages in the Language node
🔗 Nodes Used
Send Email, HTTP Request, Telegram, Markdown, AI Agent, n8n Form Trigger
📥 Import
Download workflow.json and import into n8n:
Workflow menu → Import from File