A scored, ranked assessment of how a team shows up on LinkedIn, built from publicly available data using an orchestrated AI toolchain. Turns scattered signals into a single team scoreboard with one priority action per person.
Most team LinkedIn profiles quietly drift out of sync with the team's brand and the story the org is trying to tell. Inconsistent headlines, outdated employers, and the occasional departure signal — all visible to any buyer who looks before a meeting.
A four-tool workflow that turns a list of LinkedIn URLs into a ranked team scoreboard with individual assessment tabs. Five criteria, scored one to three, total out of fifteen, with status labels that point to a specific next move.
Enrichment via Clay, structured staging in Sheets. The model reads the structured record and the live profile, scores across all five criteria, and returns a JSON payload. Apps Script rolls each payload into a named tab and updates the team scoreboard.
Working framework. Tested on a real team; the methodology can be adapted to other team-based LinkedIn assessments.
Working framework shown with synthetic data, built from public data only. The methodology can be adapted to other team-based LinkedIn assessments.
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