Calendly Booked -> Lead Enrichment LinkedIn + Perplexity

Sales and business development teams. This workflow automatically gathers detailed information about leads who book appointments. It scrapes LinkedIn profiles, searches the web for company details, and looks for TrustPilot reviews. Then, it uses AI to summarize personal and company profiles, identify interests, unique facts, potential pain points, and suggest solutions and high-ROI opportunities. Finally, it compiles all this into a comprehensive HTML report and emails it to the team. 1. Connect your Calendly account. 2. Set up API credentials for Relevance AI, Perplexity AI, Apify, and OpenAI. 3. Configure the email address for sending the final report. Calendly account, API access for Relevance AI, Perplexity AI, Apify (TrustPilot Scraper), OpenAI, and a Gmail account for sending emails. You can customize the AI prompts to tailor the analysis to specific business needs, modify the HTML report structure, and adjust the TrustPilot review scraper parameters. Key Technologies: Calendly,Relevance AI (LinkedIn Scraping),Perplexity AI (Web Search),Apify (TrustPilot Scraper),OpenAI (GPT Models),n8n (Workflow Automation),Gmail Automation Value: - Reduces manual research time for sales teams by automating lead enrichment. - Provides pre-researched insights, helping sales representatives personalize outreach and improve conversion rates. - Identifies pain points and suggests solutions proactively, leading to more targeted sales conversations. - Standardizes lead analysis, ensuring consistent and high-quality information for every booked appointment. Best Practices: - Use clear and specific AI prompts to ensure accurate and relevant output for summarization and analysis. - Include error handling or fallbacks for API calls (e.g., if a LinkedIn profile or company website is not available). - Regularly review and update API keys and credentials for security and functionality. - Test the workflow thoroughly with various lead profiles to ensure all data extraction and AI analysis functions correctly. - Implement logging to track workflow execution, identify potential issues, and monitor performance.