Create fact-based blog outlines with GPT-4o & Tavily search data
UnknownUnknown. This template uses community nodes we can't verify statically. Uses community nodes that can't be verified statically (unverified community packages are off by default in 3.0). Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 8 nodes and runs when someone submits an n8n form (“Outline generator”). Along the way it connects OpenAI and Tavily (community).
How it runs
Trigger: When someone submits an n8n form (“Outline generator”).
- Generate research questions (OpenAI): uses OpenAI
- Split Out: splits a list into separate items
- Answer research questions (Tavily): uses Tavily
- Add answers to sections (Edit Fields (Set)): sets 3 fields: section_title, section_question, answer
- Turn into one big item (Aggregate): combines items into one
- Convert JSON to markdown (Code): runs custom JavaScript code
Services it uses
Before you upgrade to n8n 3.0
We can't fully verify this one: it relies on 1 community package, and n8n 3.0 turns unverified community packages off by default (N8N_UNVERIFIED_PACKAGES_ENABLED=false).
- Check that @tavily/n8n-nodes-tavily is verified or supports 3.0 (used in Answer research questions).
Nodes used (8)
- OpenAI
@n8n/n8n-nodes-langchain.openAi - Split Out
n8n-nodes-base.splitOut - Tavily
@tavily/n8n-nodes-tavily.tavily - Edit Fields (Set)
n8n-nodes-base.set - Aggregate
n8n-nodes-base.aggregate - Code
n8n-nodes-base.code - No Operation, do nothing
n8n-nodes-base.noOp - n8n Form Trigger
n8n-nodes-base.formTrigger
From the author
Overview Turn your keyword research into a clear, fact-based content outline with this workflow. It splits your keyword into 5-6 subtopics, makes research questions for those subtopics, and uses Tavily to pull answers from real search results. This way your…