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Generate research-backed blog articles from news with OpenAI, Tavily and Google Docs

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Open on n8n.io

Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

How it works This workflow automatically generates full length, research backed blog articles from online news sources. It collects headlines from selected URLs, extracts topic ideas, creates an ou...

Best for

  • Content Creation automation workflows
  • Multimodal AI automation workflows
  • advanced n8n builders looking for reusable templates

Tools used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.openai, n8n-nodes-base.splitout, n8n-nodes-base.merge, n8n-nodes-base.aggregate, @n8n/n8n-nodes-langchain.toolworkflow, @n8n/n8n-nodes-langchain.lmchatopenai, n8n-nodes-base.stickynote

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by PrideVel.

Original n8n.io source

1.1 Workflow description

Title
Generate research-backed blog articles from news with OpenAI, Tavily and Google Docs
Workflow name
Generate research-backed blog articles from news with OpenAI, Tavily and Google Docs

How it works

This workflow automatically generates full-length, research-backed blog articles from online news sources. It collects headlines from selected URLs, extracts topic ideas, creates an outline, writes well-structured sections with citations, compiles the article, and finally exports the completed piece to Google Docs. The workflow supports SEO outputs such as title, slug, and meta description, making the article ready for publication.


Key Features

  • Automatically discovers article topics from live news sources
  • Uses AI + Tavily research to create credible, well-structured content
  • Generates full article sections with inline citations and internal links
  • Merges sections into a refined 1000–1500 word article
  • Creates SEO metadata — title, slug, and meta description
  • Exports the final article to Google Docs automatically
  • Supports multiple topics via batch looping

Step-by-Step Workflow

1️⃣ News Extraction

The workflow begins by fetching content from the configured URLs using the Extract node. The scraped page content is processed to pull out headlines and article references.

2️⃣ Topic Identification

The AI Agent analyzes the extracted headlines and converts them into meaningful blog topic suggestions.

3️⃣ Topic Looping

Each topic is processed individually using a loop, ensuring one full article is generated per topic.

4️⃣ Table of Contents Generation

The Table of Contents Agent creates a structured outline for the article:

  • Performs research via Tavily
  • Identifies key subtopics
  • Produces an engaging section plan

5️⃣ Section Writing

For each section in the outline:

  • Content is expanded into a complete paragraph or section
  • Tavily research is used for validation
  • Inline hyperlinks and citations are added where appropriate
  • Content is written in an informational article style

6️⃣ Article Assembly

All generated sections are merged and refined into a complete article:

  • Improves readability and flow
  • Ensures consistent tone
  • Adds a Sources section at the end

7️⃣ SEO Enhancements

The workflow automatically generates:

  • Article Title
  • SEO Slug (hyphen-separated, lowercase)
  • Meta Description (~160 characters)

8️⃣ Google Docs Export

The workflow:

  • Creates a new Google Doc
  • Inserts the complete article
  • Saves it to the configured Drive folder

API & Services Required

  • OpenAI API — article generation, structuring, and metadata
  • Tavily API — research and citation support
  • Google Docs OAuth2 — document creation and export

(Optional) You may add additional sources, categories, or CMS publishing integrations.

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Table of Contents

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 1.7

Block 2 - Create the Sections

Type / Role
@n8n/n8n-nodes-langchain.openAi - openAi
Config choices
Version 1.8

Block 3 - Split Out1

Type / Role
n8n-nodes-base.splitOut - splitOut
Config choices
Version 1

Block 4 - Generate the Content

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 1.7

Block 5 - Merge

Type / Role
n8n-nodes-base.merge - merge
Config choices
Version 3

Block 6 - Aggregate1

Type / Role
n8n-nodes-base.aggregate - aggregate
Config choices
Version 1

Block 7 - Content Editor

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 1.7

Block 8 - Title Maker

Type / Role
@n8n/n8n-nodes-langchain.openAi - openAi
Config choices
Version 1.8

Block 9 - tavily tool

Type / Role
@n8n/n8n-nodes-langchain.toolWorkflow - toolWorkflow
Config choices
Version 2

Block 10 - OpenAI Chat Model

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices
Version 1.2

Block 11 - Making Slug

Type / Role
@n8n/n8n-nodes-langchain.openAi - openAi
Config choices
Version 1.8

Block 12 - Article Description

Type / Role
@n8n/n8n-nodes-langchain.openAi - openAi
Config choices
Version 1.8

Block 13 - OpenAI Chat Model2

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices
Version 1.2

Block 14 - tavily tool1

Type / Role
@n8n/n8n-nodes-langchain.toolWorkflow - toolWorkflow
Config choices
Version 2

Block 15 - OpenAI

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices
Version 1.2

Block 16 - Sticky Note

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 17 - Sticky Note4

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 18 - Sticky Note5

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 19 - When clicking ‘Execute workflow’

Type / Role
n8n-nodes-base.manualTrigger - manualTrigger
Config choices
Version 1

Block 20 - Create a document1

Type / Role
n8n-nodes-base.googleDocs - googleDocs
Config choices
Version 2

Block 21 - Update a document

Type / Role
n8n-nodes-base.googleDocs - googleDocs
Config choices
Version 2

Block 22 - AI Agent

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 2.2

Block 23 - OpenAI Chat Model1

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices
Version 1.2

Block 24 - Extract

Type / Role
@tavily/n8n-nodes-tavily.tavily - tavily
Config choices
Version 1

Showing the first 24 of 29 workflow blocks. Download the JSON for the full node graph.

3. Summary Table

Workflow Generate research-backed blog articles from news with OpenAI, Tavily and Google Docs
Complexity advanced
Nodes 29
Categories Content Creation, Multimodal AI
Author PrideVel
Published 05 Jan 2026

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/12477/12477.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Frequently asked questions

What does Generate research-backed blog articles from news with OpenAI, Tavily and Google Docs do?

How it works This workflow automatically generates full length, research backed blog articles from online news sources. It collects headlines from selected URLs, extracts topic ideas, creates an ou...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Content Creation, Multimodal AI use case.