Example Prompt In Clay

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#CONTEXT#

You are tasked with qualifying prospects based on their LinkedIn profile to determine if they fit [client name] ideal customer profile (ICP) for [X] solutions. This analysis will determine whether to send a LinkedIn outreach message.

#OBJECTIVE#

Determine if the prospect works at a company that fits [client name] ICP and holds a technical AI or engineering role by analyzing their LinkedIn profile.

#INSTRUCTIONS#

Visit the prospect's LinkedIn profile using the URL provided in {LinkedIn Profile}
Analyze their current position and company to verify ALL of the following criteria:

COMPANY SIZE ANALYSIS:
- Check the company's LinkedIn page or "About" section for employee count.
- Look for indicators of company size such as:
  - Multiple office locations listed
  - Large number of employees visible in "People also viewed" or company page
  - Enterprise-level partnerships mentioned
  - Complex organizational structure with multiple departments
- Company must have 500+ employees.
INDUSTRY VERIFICATION:
- Verify the company operates in one of these target industries:
  - Financial Services: Banks, investment firms, insurance companies, fintech, wealth management, trading firms, credit unions, mortgage companies
  - Software/AI: SaaS companies, AI/ML companies, enterprise software, developer tools, cloud infrastructure, data platforms, cybersecurity
  - Healthcare: Hospitals, health systems, pharmaceutical companies, medical device companies, healthcare technology, biotech, clinical research organizations
  - Research Services: Market research firms, data analytics companies, consulting firms with technical research capabilities, and academic research institutions with commercial applications
  - IT System Data Services: IT services companies, data processing companies, internet infrastructure providers, telecommunications companies, cloud service providers, managed service providers, systems integrators, technology consulting firms
  - Tech-Forward Industries: Any company with significant technology focus, digital transformation initiatives, or technology-driven business models regardless of traditional industry classification
TECHNICAL TITLE/PERSONA ANALYSIS - STRICT REQUIREMENTS:
- Verify if the prospect's current title suggests they are in a technical AI, engineering, or product-related role.
- ONLY ACCEPT THESE SPECIFIC TECHNICAL PERSONAS:
  - AI-Focused Technical Roles: Director of AI, Head of AI, AI Director, Chief AI Officer, VP of AI, Head of Generative AI, VP of AI Innovation, AI Strategy Lead, Enterprise AI Director, AI Transformation Lead, Head of AI Products, Director of AI/ML, AI/ML Engineering Director, Enterprise AI Lead, AI Program Director, GenAI Program Lead, AI Product Leader, Enterprise AI Architect, AI Solutions Architect, Chief AI Architect, AI Platform Architect, AI Engineering Lead, AI Infrastructure Architect, AI Integration Architect, AI Technical Lead
  - Engineering-Focused Technical Roles: VP of Engineering, SVP/EVP of Engineering, Head of Engineering, Engineering Director, Chief Technology Officer (CTO), Chief Technical Officer, VP of Technology, Enterprise Architect, Principal Enterprise Architect, Technology Architect, Solution Architect, VP of Software Engineering, VP of Product Engineering, VP of Development, Head of Technology, Technology Director, Chief Innovation Officer, Chief Digital Officer
  - Product-Focused Technical Roles: VP of Product Management, Chief Product Officer, Head of Product, Senior Director of Product Management, VP of Product Strategy, VP of Product & Engineering, Product Management Executive, Director of Product Management, Principal Product Manager, Senior Product Manager, Product Director, Head of Product Strategy
STRICT DISQUALIFYING FACTORS:
- NON-TECHNICAL ROLES (AUTOMATICALLY DISQUALIFY): Sales, Marketing, Business Development, Account Management, Customer Success, HR, Finance, Operations, Legal, Compliance, Communications, Public Relations
- Company has fewer than 500 employees
- Industry is not financial services, software/AI, healthcare, research services, IT system data services, or tech-forward
- Title suggests business/commercial focus rather than technical (e.g., "Business," "Commercial," "Revenue," "Growth," "Sales")
- Profile indicates they are a consultant, contractor, or not a full-time employee
- Company appears to be a small startup, agency, or pure services firm
ADDITIONAL VERIFICATION:
- Check if the person is currently employed (not "Former" or "Ex-").
- Verify the company information is current and matches the website domain.
- Look for recent activity or updates that confirm active employment.
- Confirm the role has technical responsibilities, not just technical-sounding titles in non-technical contexts.

#OUTPUT#

Return "✓" if ALL three criteria are met (company size 500+, target industry, technical AI/Engineering/Product title). Return a blank string"" if ANY criterion is not met.

#EXAMPLES#

Qualifying Examples:

Title: "VP of AI" at JPMorgan Chase (Financial Services, 250k+ employees) → "✓"
Title: "Enterprise Architect" at Microsoft (Software, 220k+ employees) → "✓"
Title: "Head of AI" at Pfizer (Healthcare, 79k+ employees) → "✓"
Title: "CTO" at Nielsen (Research Services, 15k+ employees) → "✓"
Title: "VP of Product Management" at Salesforce (Software, 70k+ employees) → "✓"
Title: "Chief Product Officer" at IBM (IT System Data Services, 280k+ employees) → "✓"

Disqualifying Examples:

Title: "VP of Sales" at Goldman Sachs →"" (non-technical role)
Title: "Marketing Director" at Microsoft →"" (non-technical role)
Title: "VP of Engineering" at 50-person startup →"" (too small)
Title: "CTO" at retail company →"" (wrong industry)
Title: "Business Development Manager" at Salesforce →"" (non-technical role)
Title: "Head of Customer Success" at tech company →"" (non-technical role)

Example Input: {LinkedIn Profile}

Example Output: "✓" or""

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