Audience problem keyword research workflow with OpenAI, Ahrefs and Google Sheets

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Important notice

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

1. Workflow Overview

This workflow contains community nodes that are only compatible with the self hosted version of n8n. Generates relevant keywords and questions from a a customer profile. Keyword data is enriched fr...

Best for

Market Research automation workflows
Multimodal AI automation workflows
advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.manualtrigger, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.openai, n8n-nodes-base.googlesheets, n8n-nodes-base.code, n8n-nodes-base.splitinbatches, n8n-nodes-mcp.mcpclient, n8n-nodes-base.if

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title: Audience problem keyword research workflow with OpenAI, Ahrefs and Google Sheets
Workflow name: Audience problem keyword research workflow with OpenAI, Ahrefs and Google Sheets

This workflow contains community nodes that are only compatible with the self-hosted version of n8n.

Generates relevant keywords and questions from a a customer profile. Keyword data is enriched from ahref and everything is stored in a Google Sheet. This is great for market and customer research. Understanding search intent for a well defined audience and gives relevant actionable data in a fraction of time that manual research takes.

How it works

We'll define a customer profile in the 'Data' node
We use an OpenAI LLM to fetch relevant search intent as keywords and questions
We use an SEO MCP server to fetch keyword data from ahref free tooling
The fetched data is stored in the Google sheet

Set up steps

Copy Google Sheet template and add it in all Google Sheet nodes
Make sure that n8n has read & write permissions for your Google sheet.
Add your list of domains in the first column in the Google sheet
Add MCP credentials for seo-mcp
Add OpenAI API credentials

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 ‘Execute workflow’

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

Block 2 - Data

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 3 - SEO Seed Keywords

Type / Role: @n8n/n8n-nodes-langchain.openAi - openAi
Config choices: Version 1.8

Block 4 - AEO Questions

Type / Role: @n8n/n8n-nodes-langchain.openAi - openAi
Config choices: Version 1.8

Block 5 - Add keyword

Type / Role: n8n-nodes-base.googleSheets - googleSheets
Config choices: Version 4.6

Block 6 - Add keywords

Type / Role: n8n-nodes-base.googleSheets - googleSheets
Config choices: Version 4.6

Block 7 - Parse MCP Keywords JSON

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 8 - Loop Over AI Keywords

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

Block 9 - Related Keyword Generator

Type / Role: n8n-nodes-mcp.mcpClient - mcpClient
Config choices: Version 1

Block 10 - Loop Over SEO Return Values

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

Block 11 - If

Type / Role: n8n-nodes-base.if - if
Config choices: Version 2.2

Block 12 - Parse Keyword JSON

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 13 - Parse Question JSON

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 14 - Loop Over AI Questions

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

Block 15 - Add AI question

Type / Role: n8n-nodes-base.googleSheets - googleSheets
Config choices: Version 4.6

Block 16 - Add SEO research question

Type / Role: n8n-nodes-base.googleSheets - googleSheets
Config choices: Version 4.6

Block 17 - Sticky Note7

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

3. Summary Table

Workflow	Audience problem keyword research workflow with OpenAI, Ahrefs and Google Sheets
Complexity	advanced
Nodes	17
Categories	Market Research, Multimodal AI
Author	Michael Muenzer
Published	07 Aug 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/7147/7147.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 Market Research workflows Multimodal AI workflows

Frequently asked questions

What does Audience problem keyword research workflow with OpenAI, Ahrefs and Google Sheets 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 Market Research, Multimodal AI use case.

Michael Muenzer

3 workflows

Nodes

n8n-nodes-base.manualtrigger n8n-nodes-base.set @n8n/n8n-nodes-langchain.openai n8n-nodes-base.googlesheets n8n-nodes-base.code n8n-nodes-base.splitinbatches n8n-nodes-mcp.mcpclient n8n-nodes-base.if

Complexity

advanced

Published 07 Aug 2025

Likes 0

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Install path: /data/workflows/7147/7147.json

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Audience problem keyword research workflow with OpenAI, Ahrefs and Google Sheets

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

How it works

Set up steps

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - When clicking ‘Execute workflow’

Block 2 - Data

Block 3 - SEO Seed Keywords

Block 4 - AEO Questions

Block 5 - Add keyword

Block 6 - Add keywords

Block 7 - Parse MCP Keywords JSON

Block 8 - Loop Over AI Keywords

Block 9 - Related Keyword Generator

Block 10 - Loop Over SEO Return Values

Block 11 - If

Block 12 - Parse Keyword JSON

Block 13 - Parse Question JSON

Block 14 - Loop Over AI Questions

Block 15 - Add AI question

Block 16 - Add SEO research question

Block 17 - Sticky Note7

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