Templates / Deep Research - Sales Lead Magnet Agent

Deep Research - Sales Lead Magnet Agent

Needs changes

by Max Mitcham ✓ · 31,012 views · created 2025-06-06 · Content Creation, AI RAG

Needs changes. This template uses 2 thing(s) that n8n 3.0 removes: AI Agent v1 (old agent modes), HTTP Request Tool (legacy). 2 breaking item(s) found. Static check, last run 2026-10-19.

What to replace before upgrading

Removed in 3.0Replace with
AI Agent v1 (old agent modes)
Query Builder (v1.7), Research Leader (v1.7), Project Planner (v1.7), Team of Research Assistants (v1.7), Editor (v1.7)
Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.
HTTP Request Tool (legacy)
Trigify knowledge hub, Trigify knowledge hub2
HTTP Request node connected to the AI Agent's Tool input

Nodes used (13)

AI AgentStructured Output ParserCall n8n WorkflowGoogle DocsHTTP RequestAnthropic Chat ModelGoogle DriveOpenRouter Chat Model

What it does

Want to check out all my flows, follow me on: https://maxmitcham.substack.com/ https://www.linkedin.com/in/max-mitcham/ This automation flow is designed to generate comprehensive, research-backed lead magnet articles based on a user-submitted topic, conduct deep research across multiple sources, and automatically create a professional Google Doc ready for LinkedIn sharing. ⚙️ How It Works (Step-by-Step): 1. 📝 Chat Input (Entry Point) A user submits a topic through the chat interface: Topic for lead magnet content Target audience (automatically detected) Company context (when relevant) 2. 🔍 Query Builder Agent An AI agent refines the input by: Converting the topic into 5 targeted research queries Determining if topic relates to company for specialized research Using structured output parsing for consistent results 3. 📚 Research Leader Agent Conducts comprehensive research that: Uses Perplexity API for real-time web research Integrates company knowledge base when relevant Creates detailed table of contents with research insights Identifies key trends, expert opinions, and case studies 4. 📋 Project Planner Agent Structures the content by: Generating professional title and subtitle Creating 8-10 logical chapter outlines Developing detailed writing prompts for each section Ensuring step-by-step actionable guidance 5. ✍️ Research Assistant Team Multiple AI agents write simultaneously: Each agent writes one chapter with proper citations Maintains consistent voice across all sections Includes real-world examples and implementation steps Uses both web research and company knowledge 6. 📝 Editor Agent Professional content polishing: Refines tone for authenticity and engagement Adds image placeholders where appropriate Ensures proper flow between chapters Optimizes for LinkedIn lead magnet format 7. 📄 Google Docs Creation Automated document generation: Creates new Google Doc with formatted content Sets proper sharing permissions (public link) Organizes in designated company folder Returns shareable URL for immediate use 🛠️ Tools Used: n8n: Workflow orchestration platform Anthropic Claude: Primary AI model for content generation OpenRouter: Backup AI model options Perplexity API: Real-time research capabilities Company Knowledge Hub: Internal documentation access Google Docs API: Document creation and formatting Google Drive API: File management and sharing 📦 Key Features: End-to-end automation from topic to published document Multi-agent approach ensures comprehensive coverage Real-time research with proper citations Company-specific knowledge integration Professional editing and formatting Automatic Google Docs creation with sharing Scalable content generation (3-5 minutes per article) 🚀 Ideal Use Cases: B2B companies building thought leadership content Sales teams creating industry-specific lead magnets Marketing departments scaling content production Consultants developing expertise-demonstrating resources SaaS companies creating feature-focused educational content Startups establishing market presence without content teams

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