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Ranjan Dailata
Ranjan Dailata

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SERP AI Agent Search with Thordata + OpenAI GPT-4.1-mini in n8n

#automation #n8n #tooling #lowcode

n8n workflow

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Introduction

If you’re looking to build an AI-powered search assistant that can intelligently query multiple search engines and summarize results, this n8n workflow is a perfect starting point. Leveraging Thordata’s SERP API and OpenAI GPT-4.1-mini, this workflow performs multi-engine searches, synthesizes insights, and maintains a conversational memory for dynamic queries.

Who this is for

This workflow is ideal for:

  • SEO professionals who want automated SERP research.
  • Market researchers needing real-time competitive insights.
  • AI developers experimenting with multi-engine search agents.
  • Anyone who wants a smart conversational search assistant integrated into their workflow automation.

Problem this workflow solves

Manually searching across multiple search engines and analyzing results can be tedious and error-prone. With this workflow, you can:

  • Query multiple search engines simultaneously.
  • Aggregate results automatically.
  • Use GPT-4.1-mini to summarize and generate actionable insights.
  • Maintain context for multi-turn queries using memory nodes.

This workflow essentially acts as an AI SERP research agent, saving hours of manual work.

What this workflow does

  1. Chat Trigger
    The workflow starts when a chat message or query is received.

  2. LangChain AI Agent Node
    This is the reasoning core. It routes queries to SERP tools, interacts with OpenAI, and returns structured answers.

  3. Thordata SERP API Nodes
    Real-time search is performed across multiple engines:

  • Google
  • Bing
  • Yandex
  • DuckDuckGo
  1. OpenAI GPT-4.1-mini Node Processes raw search results and generates:
  • Summaries
  • Keyword insights
  • Actionable recommendations

  1. Memory Buffer Node
    Maintains short-term conversational memory for multi-turn interactions.

  2. Output Node
    Returns structured results in text, JSON, or directly to the chat interface.

Setup

  1. n8n Installation
    Install n8n locally or use n8n.cloud.

  2. Create Credentials

  • OpenAI API Key for GPT-4.1-mini
  • Thordata SERP Bearer Auth for multi-engine search

  1. Import Workflow
    Import the JSON template into n8n.

  2. Configure Nodes

  • Replace API credentials in the OpenAI Chat Model and SERP API nodes.
  • Adjust search query parameters if needed.

Customization Tips

  • Add more search engines by duplicating the HTTP Request Tool node and configuring a new engine.
  • Change AI model if you need higher fidelity, e.g., GPT-4.1 or GPT-4.1-turbo.
  • Output formatting: Customize the final node to return JSON, Markdown, or HTML depending on your application.
  • Memory depth: Adjust the Simple Memory node to store more or fewer past interactions.

Workflow Summary

  1. Trigger: Receives a query from chat.
  2. AI Agent: Orchestrates multi-engine search and reasoning.
  3. SERP Nodes: Perform Google, Bing, Yandex, and DuckDuckGo searches via Thordata.
  4. OpenAI GPT-4.1-mini: Processes results, generates structured insights.
  5. Memory Node: Maintains short-term context for follow-ups.
  6. Output: Returns summarized, actionable results.

Use Case

A marketing analyst wants to understand the latest trends for a competitor. They type a query like:

"Google Search for Top SEO strategies for e-commerce in 2025"
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Google Search Chat Response

The workflow:

  1. Queries Google.
  2. Summarizes key strategies and highlights relevant keywords.
  3. Returns an actionable report instantly.

Conclusion

This workflow demonstrates how n8n, Thordata, and GPT-4.1-mini can be combined to create a smart, AI-powered SERP research assistant. It automates search, aggregation, and analysis, allowing professionals to focus on strategy rather than manual research.

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