🎬 Generate B2B lead magnet articles with AI deep research and Google Docs

⚡ 19 views · 🎬 Content Creation & Video

Description

Who is this for?

This workflow is built for B2B marketers, consultants, founders, and agency owners who need to produce high-quality, research-backed thought leadership content — without spending hours on research and writing.

What this workflow does

This agent-powered workflow takes a simple topic input and transforms it into a comprehensive, professionally formatted lead magnet article saved directly to Google Docs. It runs parallel deep research across 5 strategic angles, compiles the findings, and produces a polished long-form article ready for LinkedIn, your blog, or a downloadable PDF.

How it works

1. Topic Input — You submit a topic via the built-in chat trigger.
2. Strategic Query Generation — An AI agent refines your topic into 5 targeted research queries covering market context, pain points, frameworks, case studies, and future trends.
3. Parallel Deep Research — Each query is researched independently by an AI agent, producing 400–600 words of data-rich content per section.
4. Compilation & Structuring — All research is merged into a structured article with a table of contents, statistics, and sources.
5. Final Writing & Editing — A writing agent produces the complete 2,500–4,000 word article with proper formatting.
6. Google Docs Output — The article is created as a formatted Google Doc with bold text, headings, and a shareable link.
7. Tracking — Each generated article is logged to a Google Sheet for tracking.

Setup steps

1. Connect your Ollama instance — Set up your Ollama API credentials (or swap the LLM node for OpenAI, Anthropic, etc.).
2. Connect Google Docs OAuth2 — Create OAuth2 credentials for the Google Docs API.
3. Connect Google Drive OAuth2 — Create OAuth2 credentials for the Google Drive API (used to make the doc shareable).
4. Connect Google Sheets OAuth2 — Create OAuth2 credentials and update the Sheet URL in the “Log to Tracking Sheet” node to point to your own spreadsheet.
5. Update author name — In the “Validate Queries” Code node, change YOUR_AUTHOR_NAME to your name.
6. Activate and test — Open the chat trigger URL and submit a topic.

Requirements

• n8n instance (self-hosted or cloud)
• Ollama running locally (or substitute with any supported LLM provider)
• Google Cloud project with Docs, Drive, and Sheets APIs enabled
• OAuth2 credentials for Google services

How to customize

• Swap the LLM — Replace the Ollama Chat Model node with OpenAI, Anthropic, Google Gemini, or any LangChain-compatible model.
• Change the output format — Modify the “Final Editor and Polish” system prompt to produce blog posts, whitepapers, or email sequences instead.
• Adjust research depth — Edit the number of strategic queries or word count targets in the agent prompts.
• Add distribution — Extend the workflow to post directly to LinkedIn, send via email, or upload to your CMS.

🔗 Nodes Used

Google Sheets, HTTP Request, AI Agent, Ollama Chat Model, Chat Trigger

📥 Import

Download workflow.json and import into n8n: Workflow menu → Import from File

📖 Importing guide · 🔑 Credential setup