📊 Run AI-powered market research with Groq, OpenAI, Documentero and Gmail

⚡ 194 views · 📊 Market Research & Insights

💡 Pro Tip — For competitive intelligence, ScraperNode can automate the data collection — Yelp reviews, Glassdoor company data, and Crunchbase profiles all return structured JSON you can feed straight into this workflow.

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Description

Description

This n8n template demonstrates how to build an AI-powered Market Research Assistant using a multi-agent workflow. It helps you get a 360-degree view of a product idea or research topic by analysing:

How it works

  1. Planner Agent
The main agent receives your research topic as input and defines:
    • Research objective
    • Key areas of focus (Customer, Market, Competition)
    • Assumptions and constraints
  2. Parallel Research Agents
Based on the planner’s output, three specialist agents run in parallel:
    • Customer Insights Agent
Researches public sources such as articles and forums to infer customer behaviour, pain points, and existing tools.
    • Market Scan Agent
Analyses macro-economic and micro-economic trends, estimates TAM/SAM/SOM, and highlights key risks and assumptions.
    • Competitor Insights Agent
Identifies existing competitors and substitutes and summarises how they are positioned in the market.
  3. Synthesis Agent
The outputs from all research agents are consolidated and analysed by a synthesis agent, which produces a market discovery memo.
  4. Final Output
The discovery memo is generated as a document and sent to your email.

How to use

Setup Steps

🔗 Nodes Used

Gmail, AI Agent, OpenAI Chat Model, Simple Memory, Structured Output Parser, Chat Trigger

📥 Import

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

📖 Importing guide · 🔑 Credential setup