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

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.