Templates / Research-based article generator with OpenAI and web search for high SEO scores

Research-based article generator with OpenAI and web search for high SEO scores

Ready for 3.0

by Constantine Kissel · 5,642 views · created 2025-08-01 · Content Creation, Multimodal AI

Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.

What this workflow does

This AI workflow has 49 nodes and runs when someone submits an n8n form (“Content Task”). Along the way it connects Telegram. It also calls api.openai.com over HTTP.

How it runs

Trigger: When someone submits an n8n form (“Content Task”).

  1. Language (Edit Fields (Set)): sets 2 fields: main_language, output_language
  2. LLM Params (Edit Fields (Set)): sets 4 fields: simple_model, advanced_model, working_language…
  3. Generate Keywords (HTTP Request): calls api.openai.com (POST)
  4. Collect Keywords (Code): runs custom JavaScript code
  5. Search Articles (HTTP Request): calls api.openai.com (POST)
  6. Collect Articles (Code): runs custom JavaScript code
  7. Payload (Edit Fields (Set)): sets or maps fields
  8. Analyze Articles (HTTP Request): calls api.openai.com (POST)
  9. Collect Outlines (Code): runs custom JavaScript code
  10. Search Citations (HTTP Request): calls api.openai.com (POST)

…plus 33 more steps. See the full node list below.

Services it uses

Telegram

HTTP calls to: api.openai.com

Before you upgrade to n8n 3.0

Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.

Nodes used (13)

From the author

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…

Excerpt from Constantine Kissel's description on n8n.io.

View the original on n8n.io → Check your own copy

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