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Generate complete SEO strategy reports with SerpAPI data and GPT-4 Agent team

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Generate complete SEO strategy reports with SerpAPI data and GPT-4 Agent team preview
Open on n8n.io

Important notice

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

1. Workflow Overview

This workflow deploys a fully autonomous "AI SEO Agency" inside your n8n instance. Unlike simple chatbots, this is a hierarchical agent swarm . A "Director" agent acts as the project manager, using...

Best for

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

Tools used

@n8n/n8n-nodes-langchain.chattrigger, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.agenttool, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.toolthink, @n8n/n8n-nodes-langchain.chat, @n8n/n8n-nodes-langchain.memorybufferwindow, @n8n/n8n-nodes-langchain.toolserpapi

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title
Generate complete SEO strategy reports with SerpAPI data and GPT-4 Agent team
Workflow name
Generate complete SEO strategy reports with SerpAPI data and GPT-4 Agent team

Overview

This workflow deploys a fully autonomous "AI SEO Agency" inside your n8n instance.

Unlike simple chatbots, this is a hierarchical agent swarm. A "Director" agent acts as the project manager, using live market data to orchestrate a team of 6 specialized AI workers. It takes a single user prompt and turns it into a comprehensive, professional-grade SEO strategy report.

Key Features

  • Hierarchical Architecture: A "Manager" agent delegates tasks to "Worker" agents.
  • Live Market Research: Uses SerpApi to fetch real-time Google Search results and competitor data.
  • Conversational Memory: Remembers business details across the chat session.
  • 6 Expert Specialists: Includes dedicated agents for Keyword Research, Technical SEO, Link Building, Analytics, Local SEO, and Content Writing.

How it works

  1. Analysis: The SEO Director Agent receives your request and consults its memory.
  2. Live Research: The Director uses the SerpApi tool to perform live Google searches on the target website and niche to gather context.
  3. Delegation: Based on the research, the Director dynamically assigns tasks to the relevant Specialist Agents (e.g., calling the "Technical Specialist" for site speed issues or the "Keyword Specialist" for content ideas).
  4. Synthesis: The Director compiles the outputs from all specialists into one cohesive, actionable strategy report.

Set up steps

Estimated time: 5 minutes

  1. OpenAI Keys: Add your OpenAI API Key to all 7 "OpenAI Chat Model" nodes (1 for the Director, 6 for the Specialists).
  2. SerpApi Key: Open the "SEO Director Agent" node. Under "Tools" > "SerpApi," add your SerpApi Key (free tier available). This enables the live Google Search capability.
  3. Run: Toggle the workflow to "Active" and start chatting!

About the Creator

Built by Pixril. We specialize in building advanced, production-ready AI agents for n8n. Find more professional workflows in our shop: https://pixril.etsy.com

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 chat message received

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

Block 2 - OpenAI Chat Model

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

Block 3 - Keyword Research Specialist

Type / Role
@n8n/n8n-nodes-langchain.agentTool - agentTool
Config choices
Version 2.2

Block 4 - Technical SEO Specialist

Type / Role
@n8n/n8n-nodes-langchain.agentTool - agentTool
Config choices
Version 2.2

Block 5 - Link Building Strategist

Type / Role
@n8n/n8n-nodes-langchain.agentTool - agentTool
Config choices
Version 2.2

Block 6 - SEO Analytics Specialist

Type / Role
@n8n/n8n-nodes-langchain.agentTool - agentTool
Config choices
Version 2.2

Block 7 - Local SEO Specialist

Type / Role
@n8n/n8n-nodes-langchain.agentTool - agentTool
Config choices
Version 2.2

Block 8 - SEO Content Writer

Type / Role
@n8n/n8n-nodes-langchain.agentTool - agentTool
Config choices
Version 2.2

Block 9 - OpenAI Chat Model1

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

Block 10 - OpenAI Chat Model2

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

Block 11 - OpenAI Chat Model3

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

Block 12 - OpenAI Chat Model4

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

Block 13 - OpenAI Chat Model5

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

Block 14 - OpenAI Chat Model6

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

Block 15 - SEO Director Agent

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 2.2

Block 16 - Think

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

Block 17 - Respond to Chat

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

Block 18 - Simple Memory

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

Block 19 - SerpAPI

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

Block 20 - Sticky Note5

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

Block 21 - Sticky Note

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

Block 22 - Sticky Note1

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

3. Summary Table

Workflow Generate complete SEO strategy reports with SerpAPI data and GPT-4 Agent team
Complexity advanced
Nodes 22
Categories Market Research, AI Chatbot
Author Pixril
Published 21 Nov 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/11109/11109.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

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

  4. 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. 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.

Frequently asked questions

What does Generate complete SEO strategy reports with SerpAPI data and GPT-4 Agent team do?

This workflow deploys a fully autonomous "AI SEO Agency" inside your n8n instance. Unlike simple chatbots, this is a hierarchical agent swarm . A "Director" agent acts as the project manager, using...

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, AI Chatbot use case.