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Automated real-time web research with Gemini AI and SerpAPI search

Agent CircleAgent Circle
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2/3/2026
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This workflow demonstrates how to automate live information gathering, fact-checking, and trend analysis in response to any chat message - using a powerful AI agent, memory, and a real-time search tool.

Use cases are many: This is perfect for researchers needing instant, up-to-date data; support teams providing live, accurate answers; content creators looking to verify facts or find hot topics; and analysts automating regular reports with the freshest information.

How It Works

  • The workflow is triggered whenever a chat message is received (e.g., a user question, research prompt, or data request).
  • The message is sent to the AI Agent, which follows the following steps:
    • First, it queries SerpAPI – Research to gather the latest real-time information and data from the web.
    • Next, it checks the Window Buffer Memory for any related past interactions or contextual information that may be useful.
    • Finally, it sends all collected data and context to the Google Gemini Chat Model, which analyzes the information and generates a comprehensive, intelligent response.
  • Then, the AI Agent delivers the analyzed, up-to-date answer directly in the chat, combining live data, context, and expert analysis.

How To Set Up

  • Download and import the workflow into your n8n workspace.
  • Set up API credentials and tool access for the AI Agent:
    • Google Gemini (for chat-based intelligence) → connected to Node Google Gemini Chat Model.
    • SerpAPI (for real-time web and search results) → connected to Node SerpAPI - Research.
    • Window Buffer Memory (for richer, context-aware conversations) → connected to Node Window Buffer Memory.
  • Open the chat in n8n and type the topic or trend you want to research.
  • Send the message and wait for the process to complete.
  • Receive the AI-powered research reply in the chat box.

Requirements

  • An n8n instance (self-hosted or cloud).
  • SerpAPI credentials for live web search and data gathering.
  • Window Buffer Memory configured to provide relevant conversation context in history.
  • Google Gemini API access to analyze collected data and generate responses.

How To Customize

  • Choose your preferred AI model: Replace Google Gemini with OpenAI ChatGPT, or any other chat model as preferred.
  • Add or change memory: Replace Window Buffer Memory with more advanced memory options for deeper recall.
  • Connect your preferred chat platform: Easily swap out the default chat integration for Telegram, Slack, or any other compatible messaging platform to trigger and interact with the workflow.

Need Help?

If you’d like this workflow customized, or if you’re looking to build a tailored AI Agent for your own business - please feel free to reach out to Agent Circle. We’re always here to support and help you to bring automation ideas to life.

Join our community on different platforms for assistance, inspiration and tips from others.

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6274-automated-real-time-web-research-with-gemini-ai-and-serpapi-search

This n8n workflow automates real-time web research using advanced AI capabilities from Google Gemini and web search results from SerpAPI. It's designed to act as an AI agent that can understand a query, perform web searches, and synthesize information to provide comprehensive answers.

What it does

This workflow sets up an AI agent that can perform web research tasks. Here's a breakdown of the steps:

  1. Triggers on Chat Message: The workflow starts when a new chat message is received, acting as the prompt or research query for the AI agent.
  2. Initializes AI Agent: An AI Agent is configured to process the incoming chat message.
  3. Configures Language Model: The agent uses the Google Gemini Chat Model as its primary language model for understanding queries and generating responses.
  4. Sets up Memory: A Simple Memory component is included to allow the AI agent to maintain context and remember previous interactions within the same conversation, enabling more coherent and relevant follow-up responses.
  5. Integrates Web Search Tool: The agent is equipped with the SerpApi (Google Search) tool, allowing it to perform real-time web searches to gather information relevant to the user's query.
  6. Processes and Responds: Based on the chat message, the AI agent will use its language model and the SerpApi tool to perform research, synthesize information, and formulate an answer, which it then returns as a chat response.

Prerequisites/Requirements

To use this workflow, you will need:

  • n8n Instance: A running instance of n8n.
  • Google Gemini API Key: An API key for the Google Gemini Chat Model. This needs to be configured as a credential in n8n.
  • SerpApi API Key: An API key for SerpApi to enable Google Search functionality. This also needs to be configured as a credential in n8n.

Setup/Usage

  1. Import the workflow: Download the provided JSON and import it into your n8n instance.
  2. Configure Credentials:
    • Locate the "Google Gemini Chat Model" node and configure your Google Gemini API key credential.
    • Locate the "SerpApi (Google Search)" node and configure your SerpApi API key credential.
  3. Activate the Workflow: Ensure the workflow is activated.
  4. Send a Chat Message: Use the "Manual Chat Trigger" (by clicking "Execute Workflow" and providing a message) to send a research query to the AI agent. The agent will then process your request, perform web searches, and provide a synthesized response.

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