Ever spent hours sorting through Sales Navigator lists only to find half the leads aren't even relevant? Or waste invitations to connect with prospects who look good on paper but are actually terrible fits? We've been there. Our clients have been there. That's why we built our latest feature, and one we're super excited about.
AI review solves this headache by automatically filtering LinkedIn prospects before they enter your campaign. It analyzes dozens of profile data points to ensure you're only connecting with genuinely qualified leads that match your exact criteria.
Here's a pretty advanced query - we don't recommend something as complex but it worked!
Data Points Analyzed
The AI review system reads the LinkedIn profile like an actual human would do.
In particular, it analyzes these LinkedIn profile elements:
Professional Information
Job Title: Current position and level (C-suite, VP, Director, Manager, etc.)
Job Function: Department or specialty (Marketing, Sales, HR, Engineering, etc.)
Seniority: Years in current role and career level
Employment History: Previous roles, companies, and duration
Industry Experience: Specific sectors the prospect has worked in
Company Data
Company Size: Employee count (startup, SMB, enterprise)
Industry: Company's primary business sector
Company Type: Private, public, non-profit, government, etc.
Growth Stage: Startup, scale-up, established business
Funding Status: Bootstrapped, seed, Series A-D, public
Profile Content
About Section: Key information in their profile summary
Skills & Endorsements: Listed skills and number of endorsements
Recommendations: Number and quality of recommendations
Articles & Activity: Publishing frequency and topics
Engagement: Comment frequency, post engagement levels
LinkedIn Groups: Group memberships and participation level
Education & Certifications
Education Level: Highest degree obtained
Institutions: Schools, universities attended
Fields of Study: Majors, concentrations, specializations
Certifications: Professional certifications listed
Geographic Data
Location: Current location and region
Willingness to Relocate: If mentioned in profile
Remote Work Status: If specified in profile or job title
Contact Information
Email Availability: Whether email is publicly visible
Website Links: Personal or company websites listed
Other Platforms: Linked Twitter, Medium, or other profiles
Understanding AI Limitations
The AI review system isn't a mind reader - it can only analyze information that's publicly visible on LinkedIn profiles. It can't determine a prospect's budget, their favorite sales approach, whether they're actively looking for solutions, their quarterly targets, or personal preferences not mentioned in their profile. Keep your filtering criteria focused on concrete, observable profile data (like job titles, company size, skills listed) rather than subjective factors or hidden information.
Here's how you can optimize your instructions:
Be specific about your requirements - vague instructions lead to inconsistent results
Keep it simple. The simpler the better.
Use industry terminology that would appear in target profiles
Start with broader criteria
Example Instructions
Targeting by Role
Example 1: Executive Focus
Contact is a C-level executives (CEO, CTO, CFO, COO) at technology companies. Exclude consultants or advisors.
Example 2: Mid-Management Focus
Contact is a marketing manager or director. Exclude anyone in agencies or freelancers.
Example 3: Specific Function
Contact must mention "frontend" or "front-end" in their profile.
Example 4: Location
Contact must be based in California.
Example 5: Industry Specific
Contact is likely to be a procurement manager at manufacturing companies. Must be in automotive or aerospace sectors.
Example 6: Technical Skills
Only include professionals with data science skills. Must list Python, R, or machine learning in their skills section. Exclude anyone without a technical degree or certification.
Example 7: Education Level
Target business professionals with MBA degrees. Must have finance experience. Exclude anyone with less than 5 years post-MBA experience.
Example 8: Certification
Contact must have a Salesforce certification.
Example 9: Multi-Region
Contact is a marketing managers in major European cities (London, Paris, Berlin, Amsterdam). Must speak English (mentioned in profile).
How to Check AI Review Results
When prospects are reviewed, you'll see one of these notifications in your contacts' view, when opening up the side-panel after clicking to someone's profile
You'll see both your original instructions and the result of the AI review.
Conclusion
We hope you'll enjoy the AI review feature, and feel free to ping us in the support chat for more ideas on how to use it!