What You'll Learn
Create an end-to-end research automation that transforms LinkedIn data into actionable sales intelligence. From finding the LinkedIn URL based on email, to analyzing posts for communication style and values, to generating conversation starters—all customized to your business context.
Why This Matters
- Pre-Call Intelligence: Know your prospect's background, priorities, and communication style before discovery calls
- Value Alignment: Assess compatibility based on observable values in their content
- Conversation Starters: Get specific talking points based on their recent posts
Key Steps Covered
- LinkedIn URL Discovery – Use GPT-4 search to find profile from email and company
- Profile Enrichment – Pull profile data and recent posts via custom API
- AI Analysis – Generate overview, career highlights, content themes with O1
- Dual Output – Create Notion page (markdown) and Attio note (plain text)
Tools & Integrations
- AirOps: Workflow orchestration and AI prompting
- OpenAI GPT-4 & O1: LinkedIn URL discovery and deep analysis
- Custom LinkedIn API: Profile and post data retrieval
- Notion & Attio: Research output destinations
Common Questions
Q: How do you customize the research for different business contexts? A: The prompts are highly configurable. Add sections for what matters to your business—GTM maturity assessment, technical depth, team management style. The output adapts to your specific needs.
Q: What if the prospect isn't active on LinkedIn? A: The workflow gracefully handles limited data. Profile-based insights still work without posts. Consider adding alternative data sources like company news or press mentions.
