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AI-powered lead research & personalized email generation with Groq & Google Sheets

ainablerainabler
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2/3/2026
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Overall Description & Potential

<< What Does This Flow Do? >>

Overall, this workflow is an intelligent sales outreach automation engine that transforms raw leads from a form or a list into highly personalized, ready-to-send introductory email drafts. The process is: it starts by fetching data, enriches it with in-depth AI research to uncover "pain points," and then uses those research findings to craft an email that is relevant to the solutions you offer.

This system solves a key problem in sales: the lack of time to conduct in-depth research on every single lead. By automating the research and drafting stages, the sales team can focus on higher-value activities, like engaging with "warm" prospects and handling negotiations. Using Google Sheets as the main dashboard allows the team to monitor the entire process—from lead entry, research status, and email drafts, all the way to the send link—all within a single, familiar interface.

<< Potential Future Enhancements >>

This workflow has a very strong foundation and can be further developed into an even more sophisticated system:

  1. Full Automation (Zero-Touch): Instead of generating a manual-click link, the output from the AI Agent can be directly piped into a Gmail or Microsoft 365 Email node to send emails automatically. A Wait node could be added to create a delay of a few minutes or hours after the draft is created, preventing instant sending.

  2. Automated Follow-up Sequences: The workflow can be extended to manage follow-up emails. By using a webhook to track email opens or replies, you could build logic like: "If the intro email is not replied to within 3 days, trigger the AI Agent again to generate follow-up email #1 based on a different template, and then send it."

  3. AI-Powered Lead Scoring: After the research stage, the AI could be given the additional task of scoring leads (e.g., 1-10 or High/Medium/Low Priority) based on how well the target company's profile matches your ideal customer profile (ICP). This helps the sales team prioritize the most promising leads.

  4. Full CRM Integration: Instead of Google Sheets, the workflow could connect directly to HubSpot, Salesforce, or Pipedrive. It would pull new leads from the CRM, perform the research, draft the email, and log all activities (research results, sent emails) back to the contact's timeline in the CRM automatically.

  5. Multi-Channel Outreach: Beyond email, the AI could be instructed to draft personalized LinkedIn Connection Request messages or WhatsApp messages. The workflow could then use the appropriate APIs to send these messages, expanding your outreach beyond just email.

AI-Powered Lead Research & Personalized Email Generation with Groq & Google Sheets

This n8n workflow automates the process of researching leads, generating personalized email content, and updating a Google Sheet. It leverages the power of AI agents and Groq's fast language models to streamline your outreach efforts.

What it does

This workflow performs the following key steps:

  1. Manual Trigger: Initiates the workflow upon manual execution, allowing you to control when the lead research and email generation process begins.
  2. Google Sheets: Reads lead data from a specified Google Sheet. This typically includes company names, contact names, and other relevant information for lead generation.
  3. Loop Over Items (Split in Batches): Processes the leads from the Google Sheet in batches, ensuring efficient handling of large datasets.
  4. AI Agent: For each lead, an AI Agent (powered by Groq) is used to perform lead research and generate personalized email content. This agent can be configured with specific prompts and tools to gather information and craft compelling messages.
  5. Groq Chat Model: Serves as the underlying language model for the AI Agent, providing fast and efficient text generation capabilities.
  6. Structured Output Parser: Extracts structured data (e.g., researched information, email subject, email body) from the AI Agent's output.
  7. Code: A custom code node likely processes or formats the output from the AI agent and structured parser before updating the Google Sheet.
  8. If: A conditional node to potentially check for successful email generation or research completion, allowing for branching logic (e.g., updating a "status" column in the sheet).
  9. Google Sheets (Update): If the conditions are met, the workflow updates the original Google Sheet with the newly researched lead information and the generated personalized email content.

Prerequisites/Requirements

To use this workflow, you will need:

  • n8n Instance: A running n8n instance (cloud or self-hosted).
  • Google Sheets Account: Access to a Google Sheet containing your lead data.
  • Groq API Key: A Groq API key configured as a credential in n8n for the Groq Chat Model node.

Setup/Usage

  1. Import the workflow: Download the provided JSON and import it into your n8n instance.
  2. Configure Credentials:
    • Google Sheets: Set up your Google Sheets credentials to allow n8n to read from and write to your spreadsheet.
    • Groq: Add your Groq API key as a credential in n8n.
  3. Update Google Sheets Node (ID: 18):
    • Specify the Spreadsheet ID and Sheet Name where your lead data is located.
    • Ensure the node is configured to read the necessary columns (e.g., Company Name, Contact Name).
  4. Configure AI Agent Node (ID: 1119):
    • Review and adjust the Prompt to guide the AI Agent on what research to perform and what kind of email to generate.
    • Ensure the Groq Chat Model is selected as the Language Model.
  5. Configure Structured Output Parser Node (ID: 1179):
    • Define the Schema for the expected output from the AI Agent (e.g., JSON structure for researched_data, email_subject, email_body).
  6. Update Code Node (ID: 834):
    • If any specific data transformation or formatting is required before updating the sheet, customize the JavaScript code within this node.
  7. Configure Google Sheets Node (ID: 18 - Update):
    • Ensure this node is configured to write the processed data (researched info, email subject, email body) back to the correct columns in your Google Sheet.
  8. Activate the workflow: Once configured, activate the workflow.
  9. Execute Manually: Click "Execute workflow" on the "Manual Trigger" node to start the process.

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