Analyze market demand using GPT-4o, XPOZ MCP, Notion and email reports

by Rahul Joshi ✓ · 947 views · created 2026-01-09 · Market Research, AI RAG

What this workflow does

This AI workflow has 12 nodes and runs on a schedule (every day) (plus 1 other trigger). Along the way it connects Gmail, MCP Client, OpenAI Chat Model and Notion.

How it runs

Trigger: On a schedule (every day) (plus 1 other trigger).

1. Inject Niche, Query, and Research Notes (Edit Fields (Set)): sets 3 fields: body.niche, body.query, body.notes
2. Send a message (Gmail): uses Gmail
3. Analyze Public Discussions for Market Demand Signals (AI) (AI Agent): runs an AI agent, with model: OpenAI Reasoning Engine for Market Signal Extraction; 1 tool (Public Search & Social Intelligence Connector (MCP Client))
4. Convert Market Signals into Notion Summary and Customer Email (AI) (AI Agent): runs an AI agent, with model: OpenAI Reasoning Engine for Insight Formatting
5. Parse Structured Insight Output from AI (Code): runs custom JavaScript code
6. Save Market Research Insight to Notion Database (Notion): work with database page
7. Send Market Insight Email to Stakeholder (Gmail): uses Gmail

Services it uses

GmailMCP ClientOpenAI Chat ModelNotion

Before you upgrade to n8n 3.0

Nodes used (9)

• Error Triggern8n-nodes-base.errorTrigger
• Gmailn8n-nodes-base.gmail
• Schedule Triggern8n-nodes-base.scheduleTrigger
• Edit Fields (Set)n8n-nodes-base.set
• AI Agent@n8n/n8n-nodes-langchain.agent
• MCP Client Tool@n8n/n8n-nodes-langchain.mcpClientTool
• OpenAI Chat Model@n8n/n8n-nodes-langchain.lmChatOpenAi
• Coden8n-nodes-base.code
• Notionn8n-nodes-base.notion

From the author

📘 Description This workflow performs automated market demand research for a defined niche on a scheduled basis and converts raw public discussions into actionable business insights. It continuously scans search engines and social platforms to identify real…

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