LinkedIn Lead Research Assistant
Automate prospect research by building structured profiles from LinkedIn data — enriched with company context, talking points and personalised outreach angles.
Stack
Input
- →Prospect name, company and LinkedIn URL or job title
Output
- ←Structured prospect profile with role summary and company context
- ←Likely pain points matched to their role and stage
- ←Personalised conversation starters and talking points
- ←Research card stored in Notion or Airtable
Prerequisites
- 1.Apollo API key or LinkedIn Sales Navigator access
- 2.n8n or Make account
- 3.Claude or OpenAI API key
- 4.Notion workspace or Airtable base for research storage
Implementation
- 1
Build or export a list of target prospects with LinkedIn URLs or company and role information
- 2
Set up a data input node in n8n or Make to accept each prospect record
Full implementation flow available to Operators
Operator workflows include deployable implementation systems, advanced prompt architectures, and operational setup assets.
Outcomes
- ✓Turn 30 minutes of manual research into 3 minutes per prospect
- ✓Consistent research format across the entire pipeline
- ✓AI-identified talking points aligned to each prospect context
- ✓Scales to hundreds of prospects without additional research effort
Built for
- 1.Sales teams preparing for outbound calls and emails
- 2.Account executives researching strategic accounts before first contact
- 3.Founders doing early customer development interviews
- 4.Recruiters preparing context before candidate conversations
Included prompt
A reusable AI prompt ships with this workflow. Open it to read, copy and adapt.
Deploy
Download the starter template, import into your automation platform, then connect credentials and test.
Files
Operational notes
Operational notes — Operator
Implementation insights, edge cases, and production tips from the Kairox team.