Hung Lee asked me on the recent Brainfood on Air show dedicated to LinkedIn, whether the comparison chart between X-Ray and LinkedIn Recruiter remains the same as in October 2022 when I published it. Not quite. Thanks to David Galley for helping me to update it.
The changes are mostly subtle though. X-Ray remains a powerful tool.
Enjoy!
| LinkedIn.com | LinkedIn Recruiter | Google X-Ray (finds public profiles) | Google Template | Example |
| Name | Y | Y | intitle:<name> | site:linkedin.com/in intitle:”phil tusing” |
| Current Job Title | Y (false positives) | Y (false positives) | Y – intitle:<title> | site:linkedin.com/in intitle:”executive assistant” |
| Current Company | Y (false positives) | Y (false positives) | Y – intitle:<company> | site:linkedin.com/in intitle:seekout |
| Last Company on Profile (even if left) | N | N | Y – inanchor:<company> | site:linkedin.com/in inanchor:”morgan stanley” |
| Last School on Profile | N | N | Y – inanchor:<school> | site:linkedin.com/in inanchor:ucla |
| Headline | N | Y – headline: secret operator | Y – inanchor:<headline> | site:linkedin.com/in inanchor:”open to work” |
| Summary | N | Y – summary: secret operator | N | |
| Current Job Title | Y | Y | Y | site:linkedin.com/in intitle:machinist |
| Job descriptions | N | N | Y (by keywords) | site:linkedin.com/in “scaled up” start-up cloud bay area |
| Self-Entered Skills | Y – in Company Employees and School Alums search | Y – skills: secret operator | N | |
| Skills and Assessments | N | Y but works almost like keywords | ||
| Past Company | Y | Y | Y (by keywords) | site:linkedin.com/in -intitle:chevron inanchor:chevron |
| Past Job Locations | N | N | Y (by keywords) | site:linkedin.com/in “united kingdom” canada AROUND(3) present |
| Past Job – <title at company> | N | N | Y – use AROUND(X) | site:linkedin.com/in “CFO” CFO AROUND(3) google |
| YOE | N | Y (but rounded) | N | |
| True Years at Company | N | Y (but rounded) | Y – with AROUND(X) or Asterisks | “present” site:linkedin.com/in “present” AROUND “2..6 years” operations manager |
| Years in Position | N | Y (but rounded) | N | |
| Current Location | Y – by Area Name | Y by Area Name or Zip/Radius | Y – by Area Name | site:linkedin.com/in present AROUND(3) “greater new york” operations manager “new york” |
| Profile in Language | Y | Y | Y – secondary profiles end in /<lg> – 2-letter country abbreviation | site:fr.linkedin.com/in/*/fr |
| Spoken Languages | N | Y | Y – approximate | site:linkedin.com/in “Native or bilingual proficiency” tagalog |
| Function (calculated) | N | Y | N | |
| Seniority (calculated) | N | Y | N | |
| Company Type (calculated) | N | Y | N | |
| Company Size (calculated) | N | Y | N | |
| School | Y (Boolean) | Y (selection only) | Y (by keywords; imprecise) | site:linkedin.com/in “school of arts and enterprise” -intitle:”school of arts” |
| Last School | N | N | Y – inanchor:<school> | site:linkedin.com/in scientist inanchor:sorbonne “sorbonne” |
| Field of study | N | Y | Y (by keywords) | site:linkedin.com/in “quantum physics” university Phd |
| Industry | Y | Y | N | |
| Years of study | N (but see school alumni search) | Y (but not tied to a school) | N | |
| Degree | N | Y (but may be incomplete) | Y (by keywords) | site:linkedin.com/in mba AROUND(3) wharton management consultant big 4 |
| Grades at School | N | N | Y (by keywords) | site:linkedin.com/in GPA AROUND(3) “4.0” accounting |
| Other accomplishments – Publications/Projects/Courses/Licenses/etc | N | N | Y (by keywords) | site:linkedin.com/in/ “credential ID” AROUND(2) CDSP |
| Recommendations | N | N | Y (by keywords) | |
| Open to Work Status | N | Y | N | |
| Network Relationships | Y (buggy) | Y (buggy) | N | |
| Followers of | Y | N | N | |
| Connections Of | Y | N | N | |
| Group Member | N | Y | N | |
| Open to Volunteering | Y | N | N | |
| Service categories | Y | N | Y (some) | |
| To generate target public profile lists in Excel by precise search, use our tool Social List (trial, subscription) | Check out my 7-Day Bootcamp starting September 5th |
Comments 1
All that’s well and good, but targeting folks who are US Citizens, hold active clearances at Top Secret or higher, and are software engineers, is still not as easy to identify in LinkedIn.