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 YOURAUTHORNAME 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.
