đź’¬ Generate personalized sales outreach with GPT across LinkedIn, Email & WhatsApp

⚡ 629 views · 💬 Lead Nurturing & AI Sales Agents

💡 Pro Tip — For lead enrichment, ScraperNode can pull LinkedIn profiles, company data, and job listings directly into your pipeline — useful for building prospect lists without manual research.

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Description

Overview

This workflow automates your entire sales outreach process across LinkedIn, Email, and WhatsApp using AI to create hyper-personalized messages for each prospect. Instead of spending hours crafting individual messages, the workflow analyzes your lead data and generates customized connection requests, emails, and WhatsApp messages that feel genuinely personal and researched.

The workflow includes a built-in approval mechanism, so you can review all AI-generated messages before they’re sent, ensuring quality control while still saving massive amounts of time.

How It Works

The workflow follows a seven-step process:

Step 1: Data Collection The workflow starts by reading your lead data from a Google Sheet. Your sheet should contain information about each prospect including their name, title, company, industry, technologies they use, and any other relevant details that can be used for personalization.

Step 2: Batch Processing To prevent overwhelming APIs and ensure smooth operation, the workflow processes leads in batches. Each lead’s complete data is prepared and formatted for the AI agent to analyze.

Step 3: AI Personalization This is where the magic happens. The AI agent receives all the prospect data and generates three distinct messages:

The AI is instructed to make these messages sound completely human, never generic or templated.

Step 4: Data Cleanup and Storage The AI’s output is parsed and cleaned up, then written back to your Google Sheet in separate columns. This creates a permanent record of all generated messages for your review.

Step 5: Manual Approval Before anything gets sent, you receive an email asking for your approval. You can review all the generated messages in your Google Sheet, make any edits if needed, and then approve or reject the batch. This ensures you maintain full control over what goes out.

Step 6: LinkedIn Automation Once approved, the workflow triggers your Phantombuster agent to send LinkedIn connection requests using the AI-generated messages. Phantombuster handles the actual LinkedIn interaction safely within their platform’s limits.

Step 7: Email and Notification Delivery Finally, the workflow sends out the personalized emails via Gmail and optionally notifies you via Telegram for each message sent. This happens sequentially to respect rate limits and maintain deliverability.

Setup Requirements

Before you can use this workflow, you’ll need to set up several accounts and gather credentials:

Essential Services:

Optional Services:

Credentials You’ll Need:

How to Use This Workflow

Initial Setup:

  1. Import this workflow into your n8n instance
  2. Add all required credentials in n8n’s credential manager
  3. Create your Google Sheet with the following columns at minimum: First Name, Last Name, Title, Company Name, Personal Email, Industry, Website. Add three additional columns for output: Connection, AI Email, AI Whatsapp Message
  4. Copy your Google Sheet ID from the URL and update it in all Google Sheets nodes
  5. Open the AI Agent node and update the prompt with your personal information: your name, title, email, and LinkedIn URL
  6. Update the email addresses in the Gmail nodes to your actual email addresses
  7. Configure your Phantombuster agent for LinkedIn and add the API key and agent ID

Running the Workflow:

  1. Add your lead data to the Google Sheet (you can start with just 2-3 leads for testing)
  2. Click “Execute Workflow” in n8n to start the process
  3. Wait for the AI to generate messages (this takes a few seconds per lead)
  4. Check your email for the approval request
  5. Review the AI-generated messages in your Google Sheet
  6. Reply to the approval email with your decision
  7. If approved, the workflow will automatically send LinkedIn requests, emails, and WhatsApp messages

Best Practices:

Start small. Process 5-10 leads at a time initially to test the quality of AI-generated messages and ensure everything works correctly. Once you’re confident in the output, you can scale up to larger batches.

Monitor your results. Keep track of response rates in your Google Sheet and adjust the AI prompt if certain types of messages aren’t performing well.

Respect rate limits. Gmail allows 100-500 emails per day depending on your account type, and LinkedIn has strict limits on connection requests (typically 100 per week through automation tools). Stay well within these limits to avoid account restrictions.

Customizing This Workflow

The workflow is designed to be highly customizable to fit your specific use case:

Personalizing the AI Prompt:

The most important customization is in the AI Agent node’s prompt. You can modify it to:

Modifying the Output:

You can change what the AI generates by editing the prompt. For example, you might want:

Adding Features:

The workflow can be extended with additional nodes:

Changing Tools:

If you prefer different services, you can swap out nodes:

Data Source Alternatives:

Instead of Google Sheets, you could:

Tips for Success

The quality of your AI-generated messages depends heavily on the data you provide. The more information you have about each prospect (their role, company size, technologies used, recent news, pain points), the more personalized and effective the messages will be.

Regularly review and refine your AI prompt based on the responses you’re getting. If prospects aren’t responding, your messages might be too sales-focused or not personal enough. Adjust the prompt to make messages feel more consultative and helpful.

Don’t send to your entire list at once. Even with approval gates, it’s wise to test with small batches, measure results, iterate on your approach, and then scale up gradually.

Always comply with email and LinkedIn best practices. Never spam, always provide value in your outreach, respect people’s time and privacy, and make it easy for them to opt out if they’re not interested.

This workflow is a powerful tool that can save you hours of work while actually improving the quality of your outreach through AI-powered personalization. Use it responsibly and watch your response rates improve.

đź”— Nodes Used

Google Sheets, HTTP Request, Telegram, Gmail, WhatsApp Business Cloud, AI Agent

đź“Ą Import

Download workflow.json and import into n8n: Workflow menu → Import from File

📖 Importing guide · 🔑 Credential setup