Research-based article generator with OpenAI and web search for high SEO scores
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
1. Import the workflow JSON into n8n.
2. Add your **OpenAI** credential
3. Set `simple_model` / `advanced_model` in **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
