Generate personalized cold email icebreakers with Perplexity Research & Claude Sonnet
AI-Powered Lead Generation: Personalized Icebreakers with Perplexity Research & Claude Sonnet 4.5
This production-ready workflow transforms your lead generation by automatically researching prospects and generating genuinely personalized icebreakers that feel human-written. What normally takes 10-15 minutes per lead now happens in under a minute, at scale.
🎯 What It Does:
Pulls lead data from Google Sheets, conducts real-time AI research on each prospect, and generates custom cold email opening lines that reference actual company achievements and recent news. The workflow processes leads in batches, updates your spreadsheet automatically, and maintains context throughout the entire process.
- Automated Research: Perplexity Sonar searches the web for current information about each prospect and their company
- Company Name Standardization: GPT-4o-mini cleans up corporate names to sound natural ("Sharp Guys Web Design Agency" becomes "Sharp Guys")
- Personalized Icebreakers: Claude Sonnet 4 crafts opening lines that reference real achievements in a casual, bar-conversation tone
- Smart Processing: Filters already-processed leads, handles batches of 25, and safely updates your spreadsheet
- Cost Effective: Approximately $0.02 per lead with typical 2-3x response rate improvement
💡 Use Cases & Results:
Perfect for: B2B sales teams, marketing agencies, business development, recruiters, freelancers, startup founders doing cold outreach.
Expected results:
- 2-3x response rate improvement
- ~$0.02 per lead cost
- 10-15 min → 30-60 sec per lead
Why it works: Icebreakers reference real, current information vs generic templates. Prospects notice the personalization.
🔧 How It Works:
The workflow follows a six-step process. First, it retrieves lead data from your Google Sheets and filters out any leads that already have icebreakers to avoid reprocessing. Then it processes leads in manageable batches of 25 to respect API rate limits while maintaining efficiency.
For each lead, the system standardizes the company name by removing corporate suffixes like "Agency," "Inc.," or "Group" to make icebreakers sound more natural. Next, Perplexity Sonar conducts real-time web research on the prospect, finding recent company news, achievements, funding rounds, and relevant background information.
Claude Sonnet 4 then analyzes this research and generates a personalized icebreaker that sounds genuinely human-written. The prompt instructs Claude to use a casual, spartan tone and to look for plausible connections without stretching the truth. Each icebreaker follows a proven format: "Hey [FirstName], [specific observation about their company], I wanted to share something that could be relevant for [Company]."
Finally, the workflow updates your spreadsheet with both the cleaned company name and the personalized icebreaker, then loops back to process the next batch until all unprocessed leads are complete.
✨ Key Features:
- Real-time research: Perplexity Sonar accesses current web data for the most relevant, up-to-date information
- Natural language: Icebreakers reference real achievements in conversational tone, not corporate speak
- Batch processing: Handles 25 leads at a time with automatic looping for any volume
- Smart filtering: Skips leads that already have icebreakers, enabling easy reruns with new data
- JSON output: Structured format ready for integration with cold email tools
- Resume capability: Can stop and restart anytime without losing progress
- Quality assurance: AI models are specifically chosen for their strengths (speed, research, writing)
📋 Requirements:
- Google Sheets with lead data (columns: id, first_name, last_name, title, organization_name, Icebreaker, company_name_cleanup)
- OpenAI API key (for GPT-4o-mini company name cleanup)
- OpenRouter account with credits (for Perplexity Sonar and Claude Sonnet 4 access)
- n8n Cloud or self-hosted instance
⚡ Quick Setup:
Prepare your Google Sheets spreadsheet with the required columns and fill in your lead data. Connect your Google Sheets, OpenAI, and OpenRouter credentials to n8n. Configure the "Get Leads" and "Update Icebreaker" nodes to point to your spreadsheet. Test with a couple of leads first to ensure everything works, then run the full workflow.
The workflow includes comprehensive documentation via sticky notes covering data structure, AI model selection rationale, customization options, cost analysis.
🎁 What You Get:
Complete end-to-end automation with detailed sticky note documentation explaining each step, customizable prompts for adjusting tone and style, batch processing logic that respects API limits, error handling and retry mechanisms, cost optimization using the right AI model for each task (GPT-4o-mini for simple transformations, Perplexity for research, Claude for writing), and security best practices for handling lead data responsibly.
💰 Expected Results:
At approximately $0.02 per lead, this workflow typically delivers response rate improvements of 2-3x compared to generic templates. For a hundred leads, you invest about $2 and save over fifteen hours of manual research and writing time. The icebreakers sound genuinely human because they reference real, current information rather than generic templates. Many users report that prospects often respond positively to the personalized opening, commenting that it doesn't feel like a mass email.
🔄 Integration Ready:
The output format is designed to integrate seamlessly with popular cold email tools like Instantly, Lemlist, Smartlead, and others. Simply export your updated spreadsheet and import the icebreakers into your outreach sequences. The casual tone and specific details make these icebreakers perfect for relationship-building campaigns where authenticity matters.
Icebreaker Examples:
https://docs.google.com/spreadsheets/d/1_oxNW4l54fVjxq6Y62xR_yqqQK6O3gCsmqmBhO2ei1Y/edit?usp=sharing
Generate Personalized Cold Email Icebreakers with Perplexity Research & Claude Sonnet
This n8n workflow automates the creation of highly personalized cold email icebreakers. It leverages the power of AI to research prospects based on their LinkedIn profiles and then crafts unique icebreakers, making your outreach more effective and engaging.
What it does
This workflow streamlines the process of generating personalized icebreakers by:
- Manually Trigger: Starts the workflow when manually executed.
- Reads Prospect Data: Retrieves prospect information (presumably including LinkedIn URLs) from a Google Sheet.
- Loops Over Items: Processes each prospect's data individually.
- Conditional Logic: Checks for specific conditions (the exact condition is not specified in the JSON, but it routes data based on a true/false evaluation).
- Perplexity Research (via OpenAI LLM Chain): Uses an OpenAI LLM Chain (configured as a "Basic LLM Chain") to perform research on the prospect, likely extracting key information from their LinkedIn profile for personalization.
- Claude Sonnet Icebreaker Generation (via OpenRouter Chat Model): Employs an OpenRouter Chat Model (likely configured to use Claude Sonnet) to generate a personalized icebreaker based on the research findings.
- Structured Output Parsing: Parses the output from the AI model to ensure the icebreaker is in a structured, usable format.
- Sticky Note: Provides a place for notes or comments within the workflow.
Prerequisites/Requirements
To use this workflow, you will need:
- n8n Instance: A running n8n instance.
- Google Sheets Account: Configured credentials for Google Sheets to read prospect data.
- OpenAI API Key: Credentials for OpenAI to power the research LLM Chain.
- OpenRouter API Key: Credentials for OpenRouter to access the Claude Sonnet chat model.
- Langchain Nodes: Ensure the
@n8n/n8n-nodes-langchainpackage is installed and enabled in your n8n instance.
Setup/Usage
- Import the Workflow: Download the provided JSON and import it into your n8n instance.
- Configure Credentials:
- Set up your Google Sheets credentials.
- Set up your OpenAI API key credentials for the "OpenAI" node.
- Set up your OpenRouter API key credentials for the "OpenRouter Chat Model" node.
- Configure Google Sheets Node:
- Specify the Google Sheet and tab where your prospect data (including LinkedIn URLs) is stored.
- Customize AI Prompts (Optional):
- Review and adjust the prompts within the "Basic LLM Chain" (OpenAI) and "OpenRouter Chat Model" (Claude Sonnet) nodes to fine-tune the research and icebreaker generation to your specific needs.
- Activate and Execute:
- Activate the workflow.
- Click "Execute Workflow" on the "Manual Trigger" node to run it.
This workflow will then read your prospect list, perform research, generate personalized icebreakers, and output them, ready for your cold email campaigns.
Related Templates
Auto-create TikTok videos with VEED.io AI avatars, ElevenLabs & GPT-4
💥 Viral TikTok Video Machine: Auto-Create Videos with Your AI Avatar --- 🎯 Who is this for? This workflow is for content creators, marketers, and agencies who want to use Veed.io’s AI avatar technology to produce short, engaging TikTok videos automatically. It’s ideal for creators who want to appear on camera without recording themselves, and for teams managing multiple brands who need to generate videos at scale. --- ⚙️ What problem this workflow solves Manually creating videos for TikTok can take hours — finding trends, writing scripts, recording, and editing. By combining Veed.io, ElevenLabs, and GPT-4, this workflow transforms a simple Telegram input into a ready-to-post TikTok video featuring your AI avatar powered by Veed.io — speaking naturally with your cloned voice. --- 🚀 What this workflow does This automation links Veed.io’s video-generation API with multiple AI tools: Analyzes TikTok trends via Perplexity AI Writes a 10-second viral script using GPT-4 Generates your voiceover via ElevenLabs Uses Veed.io (Fabric 1.0 via FAL.ai) to animate your avatar and sync the lips to the voice Creates an engaging caption + hashtags for TikTok virality Publishes the video automatically via Blotato TikTok API Logs all results to Google Sheets for tracking --- 🧩 Setup Telegram Bot Create your bot via @BotFather Configure it as the trigger for sending your photo and theme Connect Veed.io Create an account on Veed.io Get your FAL.ai API key (Veed Fabric 1.0 model) Use HTTPS image/audio URLs compatible with Veed Fabric Other APIs Add Perplexity, ElevenLabs, and Blotato TikTok keys Connect your Google Sheet for logging results --- 🛠️ How to customize this workflow Change your Avatar: Upload a new image through Telegram, and Veed.io will generate a new talking version automatically. Modify the Script Style: Adjust the GPT prompt for tone (educational, funny, storytelling). Adjust Voice Tone: Tweak ElevenLabs stability and similarity settings. Expand Platforms: Add Instagram, YouTube Shorts, or X (Twitter) posting nodes. Track Performance: Customize your Google Sheet to measure your most successful Veed.io-based videos. --- 🧠 Expected Outcome In just a few seconds after sending your photo and theme, this workflow — powered by Veed.io — creates a fully automated TikTok video featuring your AI avatar with natural lip-sync and voice. The result is a continuous stream of viral short videos, made without cameras, editing, or effort. --- ✅ Import the JSON file in n8n, add your API keys (including Veed.io via FAL.ai), and start generating viral TikTok videos starring your AI avatar today! 🎥 Watch This Tutorial --- 📄 Documentation: Notion Guide Need help customizing? Contact me for consulting and support : Linkedin / Youtube
Track competitor SEO keywords with Decodo + GPT-4.1-mini + Google Sheets
This workflow automates competitor keyword research using OpenAI LLM and Decodo for intelligent web scraping. Who this is for SEO specialists, content strategists, and growth marketers who want to automate keyword research and competitive intelligence. Marketing analysts managing multiple clients or websites who need consistent SEO tracking without manual data pulls. Agencies or automation engineers using Google Sheets as an SEO data dashboard for keyword monitoring and reporting. What problem this workflow solves Tracking competitor keywords manually is slow and inconsistent. Most SEO tools provide limited API access or lack contextual keyword analysis. This workflow solves that by: Automatically scraping any competitor’s webpage with Decodo. Using OpenAI GPT-4.1-mini to interpret keyword intent, density, and semantic focus. Storing structured keyword insights directly in Google Sheets for ongoing tracking and trend analysis. What this workflow does Trigger — Manually start the workflow or schedule it to run periodically. Input Setup — Define the website URL and target country (e.g., https://dev.to, france). Data Scraping (Decodo) — Fetch competitor web content and metadata. Keyword Analysis (OpenAI GPT-4.1-mini) Extract primary and secondary keywords. Identify focus topics and semantic entities. Generate a keyword density summary and SEO strength score. Recommend optimization and internal linking opportunities. Data Structuring — Clean and convert GPT output into JSON format. Data Storage (Google Sheets) — Append structured keyword data to a Google Sheet for long-term tracking. Setup Prerequisites If you are new to Decode, please signup on this link visit.decodo.com n8n account with workflow editor access Decodo API credentials OpenAI API key Google Sheets account connected via OAuth2 Make sure to install the Decodo Community node. Create a Google Sheet Add columns for: primarykeywords, seostrengthscore, keyworddensity_summary, etc. Share with your n8n Google account. Connect Credentials Add credentials for: Decodo API credentials - You need to register, login and obtain the Basic Authentication Token via Decodo Dashboard OpenAI API (for GPT-4o-mini) Google Sheets OAuth2 Configure Input Fields Edit the “Set Input Fields” node to set your target site and region. Run the Workflow Click Execute Workflow in n8n. View structured results in your connected Google Sheet. How to customize this workflow Track Multiple Competitors → Use a Google Sheet or CSV list of URLs; loop through them using the Split In Batches node. Add Language Detection → Add a Gemini or GPT node before keyword analysis to detect content language and adjust prompts. Enhance the SEO Report → Expand the GPT prompt to include backlink insights, metadata optimization, or readability checks. Integrate Visualization → Connect your Google Sheet to Looker Studio for SEO performance dashboards. Schedule Auto-Runs → Use the Cron Node to run weekly or monthly for competitor keyword refreshes. Summary This workflow automates competitor keyword research using: Decodo for intelligent web scraping OpenAI GPT-4.1-mini for keyword and SEO analysis Google Sheets for live tracking and reporting It’s a complete AI-powered SEO intelligence pipeline ideal for teams that want actionable insights on keyword gaps, optimization opportunities, and content focus trends, without relying on expensive SEO SaaS tools.
Generate song lyrics and music from text prompts using OpenAI and Fal.ai Minimax
Spark your creativity instantly in any chat—turn a simple prompt like "heartbreak ballad" into original, full-length lyrics and a professional AI-generated music track, all without leaving your conversation. 📋 What This Template Does This chat-triggered workflow harnesses AI to generate detailed, genre-matched song lyrics (at least 600 characters) from user messages, then queues them for music synthesis via Fal.ai's minimax-music model. It polls asynchronously until the track is ready, delivering lyrics and audio URL back in chat. Crafts original, structured lyrics with verses, choruses, and bridges using OpenAI Submits to Fal.ai for melody, instrumentation, and vocals aligned to the style Handles long-running generations with smart looping and status checks Returns complete song package (lyrics + audio link) for seamless sharing 🔧 Prerequisites n8n account (self-hosted or cloud with chat integration enabled) OpenAI account with API access for GPT models Fal.ai account for AI music generation 🔑 Required Credentials OpenAI API Setup Go to platform.openai.com → API keys (sidebar) Click "Create new secret key" → Name it (e.g., "n8n Songwriter") Copy the key and add to n8n as "OpenAI API" credential type Test by sending a simple chat completion request Fal.ai HTTP Header Auth Setup Sign up at fal.ai → Dashboard → API Keys Generate a new API key → Copy it In n8n, create "HTTP Header Auth" credential: Name="Fal.ai", Header Name="Authorization", Header Value="Key [Your API Key]" Test with a simple GET to their queue endpoint (e.g., /status) ⚙️ Configuration Steps Import the workflow JSON into your n8n instance Assign OpenAI API credentials to the "OpenAI Chat Model" node Assign Fal.ai HTTP Header Auth to the "Generate Music Track", "Check Generation Status", and "Fetch Final Result" nodes Activate the workflow—chat trigger will appear in your n8n chat interface Test by messaging: "Create an upbeat pop song about road trips" 🎯 Use Cases Content Creators: YouTubers generating custom jingles for videos on the fly, streamlining production from idea to audio export Educators: Music teachers using chat prompts to create era-specific folk tunes for classroom discussions, fostering interactive learning Gift Personalization: Friends crafting anniversary R&B tracks from shared memories via quick chats, delivering emotional audio surprises Artist Brainstorming: Songwriters prototyping hip-hop beats in real-time during sessions, accelerating collaboration and iteration ⚠️ Troubleshooting Invalid JSON from AI Agent: Ensure the system prompt stresses valid JSON; test the agent standalone with a sample query Music Generation Fails (401/403): Verify Fal.ai API key has minimax-music access; check usage quotas in dashboard Status Polling Loops Indefinitely: Bump wait time to 45-60s for complex tracks; inspect fal.ai queue logs for bottlenecks Lyrics Under 600 Characters: Tweak agent prompt to enforce fuller structures like [V1][C][V2][B][C]; verify output length in executions