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Generate Dream 100 prospect lists with Perplexity AI research and Google Sheets

Brandon TrueBrandon True
553 views
2/3/2026
Conditional LogicTypeformPipedriveAutomationCRM
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Overview

Send an AI a few details about your "Dream Customer" in normal english, then have it search the web and give you a "Dream 100" - 100 ideal prospects to connect with in your industry.

Great for stress-testing a product idea or giving you a start for networking in an industry.

How it works

  • Send the AI agent information about your business + ideal customer. It will ask you to clarify any additional info.
  • The agent will use an LLM to turn your criteria into specific prompts for an internet search
  • Perplexity will use those prompts to identify ideal customers
  • An LLM will format those Perplexity results, then they'll be added to a Google sheet.

Set up steps

  1. Copy the provided google sheets template into your Google Drive
  2. Connect your Google Drive/Sheets to the workflow
  3. Connect OpenRouter and Perplexity to the workflow (Just paste in your API key!)
  4. If desired, connect the Slack trigger/response nodes to control the agent from Slack.

n8n AI Agent for Prospect List Generation with Google Sheets and Slack

This n8n workflow leverages AI to generate prospect lists, manage them in Google Sheets, and notify users via Slack. It acts as a conversational AI agent that can understand requests, perform research, and output structured data.

Description

This workflow creates an interactive AI agent that can assist with generating targeted prospect lists. Users can initiate requests through a chat interface (e.g., Slack), and the AI agent will process the request, potentially perform research, and then output the generated list to a Google Sheet. It also includes conditional logic to handle different types of requests and send notifications.

What it does

  1. Listens for Chat Messages: The workflow is triggered by incoming chat messages, likely from a platform like Slack.
  2. Initial Message Processing: It uses a "Chat Trigger" to receive the message and a "Simple Memory" node to maintain context for the AI agent during the conversation.
  3. AI Agent Execution: An "AI Agent" node, powered by an "OpenRouter Chat Model", processes the user's request. This agent is designed to understand the intent, potentially perform research (though specific tools are not defined in this JSON, the agent framework implies this capability), and generate a prospect list.
  4. Conditional Logic (Switch): A "Switch" node evaluates the output of the AI Agent. It likely checks for specific keywords or patterns in the AI's response to determine the next action.
  5. Data Transformation (Edit Fields): If the AI agent successfully generates data for a prospect list, an "Edit Fields (Set)" node prepares this data for insertion into Google Sheets.
  6. Google Sheets Integration: The processed data is then written to a specified Google Sheet.
  7. Slack Notification: A "Slack" node sends a notification, likely confirming the completion of the task or providing relevant updates to the user.
  8. Responds to Chat: A "Chat" node sends a response back to the user in the chat interface, acknowledging the request or providing results.
  9. Error Handling/Alternative Path (If): An "If" node provides conditional routing, possibly for scenarios where the AI agent's output needs further processing or if a different type of response is required.
  10. Sticky Note: A "Sticky Note" is present, likely for documentation or temporary notes within the workflow.

Prerequisites/Requirements

  • n8n Instance: A running n8n instance.
  • Slack Account: Configured Slack credentials for the Slack Trigger and Slack node.
  • Google Sheets Account: Configured Google Sheets credentials with access to the target spreadsheet.
  • OpenRouter API Key: Credentials for the OpenRouter Chat Model.
  • LangChain Integration: The workflow utilizes n8n's LangChain nodes, which might require specific setup or environment variables for the AI agent to function correctly with external tools (not explicitly defined in this JSON but implied by "AI Agent").

Setup/Usage

  1. Import the Workflow: Download the JSON and import it into your n8n instance.
  2. Configure Credentials:
    • Set up your Slack API credentials for both the "Slack Trigger" and "Slack" nodes.
    • Set up your Google Sheets API credentials for the "Google Sheets" node.
    • Set up your OpenRouter API Key for the "OpenRouter Chat Model" node.
  3. Customize Nodes:
    • Slack Trigger: Configure the channel or direct message listen for.
    • AI Agent: Review and potentially customize the agent's prompt, tools, and memory settings to align with your specific prospect list generation requirements.
    • Google Sheets: Specify the Spreadsheet ID and Sheet name where the prospect lists should be written.
    • Edit Fields (Set): Adjust the field mapping to ensure data from the AI agent is correctly structured for Google Sheets.
    • Slack: Customize the message content and target channel for notifications.
    • Switch/If Nodes: Modify the conditions in the "Switch" and "If" nodes to match your desired routing logic based on the AI agent's output.
  4. Activate the Workflow: Once configured, activate the workflow.

Now, when a chat message is received that matches the trigger's criteria, the AI agent will process it, generate a prospect list, save it to Google Sheets, and send a Slack notification.

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