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!

Updated on: 09/02/2026