Enrich company profiles with Explorium MCP and Claude AI for GTM research

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

️ Company Research Agent (n8n + Explorium + LLM) This n8n workflow automates company research by combining Explorium’s MCP server, web scraping tools, and an AI agent. Results are written to a Go...

Best for

Lead Generation automation workflows
AI Summarization automation workflows
advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.manualtrigger, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.toolworkflow, @n8n/n8n-nodes-langchain.outputparserstructured, n8n-nodes-base.splitinbatches, n8n-nodes-base.googlesheets, n8n-nodes-base.merge, n8n-nodes-base.stickynote

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Itamar.

Original n8n.io source

1.1 Workflow description

Title: Enrich company profiles with Explorium MCP and Claude AI for GTM research
Workflow name: Enrich company profiles with Explorium MCP and Claude AI for GTM research

🕵️ Company Research Agent (n8n + Explorium + LLM)

This n8n workflow automates company research by combining Explorium’s MCP server, web scraping tools, and an AI agent. Results are written to a Google Sheet for easy use in GTM, product analysis, or competitive research.

🚀 What It Does

Given a list of company domains or names, this workflow will:

Look up company information using:
- 🧠 LLM Agent to guide the research
- 🔎 Explorium MCP Server for firmographic & tech signals
- 🌐 Website content and SerpAPI scraping (optional)
Extract key commercial details (see below)
Format the output in a consistent JSON structure
Update a connected Google Sheet with the enriched results

🧩 Extracted Fields

Each company is enriched with:

domain
linkedinUrl
has_free_trial
cheapest_plan
has_enterprise_plan
last_case_study_link
market (e.g., B2B or B2C)
integrations (e.g., Slack, Hubspot, MySQL)
enrichment_status

📥 Input Sheet Format

input
Explorium
n8n
Apple
...

📤 Output Sheet Format

domain	linkedinUrl	has_free_trial	cheapest_plan	has_enterprise_plan	last_case_study_link	market	integrations	enrichment_status
Explorium.ai	https://linkedin.com/company/...	TRUE	69	TRUE	https://www.explorium.com	B2B	["HubSpot", "Zapier", "Salesforce", ...]	done
n8n.io	https://linkedin.com/company/...	TRUE	20	TRUE	https://n8n.io/case-studies	B2B	["Slack", "Gmail", "MySQL", "Google Sheets", ...]	done

🛠️ Tools Used

n8n (Automation platform)
Explorium MCP Server – rich company enrichment via API
Anthropic Claude or OpenAI – used by the AI researcher
Google Sheets – stores output data
Structured Output Parser – ensures clean, predictable JSON formatting

📦 How to Set It Up

Add your company domains or names to the input sheet
Configure your MCP and SerpAPI credentials in n8n
Run the workflow using the Test Workflow trigger
Watch the sheet populate with results

You can adapt the system to output different formats or fields depending on your team's research goals.

📌 Use Cases

Competitive landscape analysis
Lead intelligence for outbound campaigns
Feature benchmarking (e.g., who offers enterprise or free trial)
VC/investment research

🧠 Notes

This agent is easily customizable. Adjust the LLM prompt or Output Parser to extract different properties.
Explorium MCP is leveraged as the core enrichment engine, ensuring signal accuracy and freshness.

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - When clicking "Test workflow"

Type / Role: n8n-nodes-base.manualTrigger - manualTrigger
Config choices: Version 1

Block 2 - Input

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.3

Block 3 - Get website content

Type / Role: @n8n/n8n-nodes-langchain.toolWorkflow - toolWorkflow
Config choices: Version 1.1

Block 4 - Structured Output Parser

Type / Role: @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices: Version 1.2

Block 5 - Loop Over Items

Type / Role: n8n-nodes-base.splitInBatches - splitInBatches
Config choices: Version 3

Block 6 - AI Researcher Output Data

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.3

Block 7 - Google Sheets - Update Row with data

Type / Role: n8n-nodes-base.googleSheets - googleSheets
Config choices: Version 4.3

Block 8 - Merge data

Type / Role: n8n-nodes-base.merge - merge
Config choices: Version 2.1

Block 9 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 10 - Get rows to enrich

Type / Role: n8n-nodes-base.googleSheets - googleSheets
Config choices: Version 4.3

Block 11 - Sticky Note2

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 12 - Sticky Note3

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 13 - Sticky Note4

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 14 - AI company researcher

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 1.6

Block 15 - Sticky Note7

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 16 - MCP Client

Type / Role: @n8n/n8n-nodes-langchain.mcpClientTool - mcpClientTool
Config choices: Version 1

Block 17 - Anthropic Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatAnthropic - lmChatAnthropic
Config choices: Version 1.3

3. Summary Table

Workflow	Enrich company profiles with Explorium MCP and Claude AI for GTM research
Complexity	advanced
Nodes	17
Categories	Lead Generation, AI Summarization
Author	Itamar
Published	16 Jul 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/6064/6064.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Lead Generation workflows AI Summarization workflows

Frequently asked questions

What does Enrich company profiles with Explorium MCP and Claude AI for GTM research do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Lead Generation, AI Summarization use case.

Itamar

2 workflows

Nodes

n8n-nodes-base.manualtrigger n8n-nodes-base.set @n8n/n8n-nodes-langchain.toolworkflow @n8n/n8n-nodes-langchain.outputparserstructured n8n-nodes-base.splitinbatches n8n-nodes-base.googlesheets n8n-nodes-base.merge n8n-nodes-base.stickynote

Complexity

advanced

Published 16 Jul 2025

Likes 0

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Install path: /data/workflows/6064/6064.json

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Enrich company profiles with Explorium MCP and Claude AI for GTM research

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

🕵️ Company Research Agent (n8n + Explorium + LLM)

🚀 What It Does

🧩 Extracted Fields

📥 Input Sheet Format

📤 Output Sheet Format

🛠️ Tools Used

📦 How to Set It Up

📌 Use Cases

🧠 Notes

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - When clicking "Test workflow"

Block 2 - Input

Block 3 - Get website content

Block 4 - Structured Output Parser

Block 5 - Loop Over Items

Block 6 - AI Researcher Output Data

Block 7 - Google Sheets - Update Row with data

Block 8 - Merge data

Block 9 - Sticky Note

Block 10 - Get rows to enrich

Block 11 - Sticky Note2

Block 12 - Sticky Note3

Block 13 - Sticky Note4

Block 14 - AI company researcher

Block 15 - Sticky Note7

Block 16 - MCP Client

Block 17 - Anthropic Chat Model

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions