Score LinkedIn profiles against your ideal customer criteria

Automatically checks a LinkedIn profile against your ideal customer criteria and gives it a score out of 100.

How the work actually flows

It branches. Every path runs; all paths must finish before it continues.

Pattern: Parallel Split (2) ยท Synchronisation (3)

flowchart TD trig(("profile link submitted via form")):::human s0["read profile details"]:::task s1["calculate fit score"]:::task s2["return scored profile"]:::task trig --> s0 s1 --> s2 gx{"+ rate profile on each dimension"}:::gate s0 --> gx p00["assess interest in ai"]:::task gx -->|"rate ai interest"| p00 p10["assess technical background"]:::task gx -->|"rate technical depth"| p10 p20["assess seniority level"]:::task gx -->|"rate seniority"| p20 jn{"+ combine ratings"}:::gate p00 --> jn p10 --> jn p20 --> jn jn --> s1 out[/"scored profile ready for outreach"/]:::out pay{{"prioritize leads worth pursuing"}}:::pay s2 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
A stepA personEvery pathWaits for allResultPayoff
Build size
Standard

A mid-size build with several tools working together.

Business functions
Survey & Feedback
Connects
AirtopLinkedIn

The problem it solves

You're staring at a list of leads with no easy way to tell who's actually worth your time. Manually reading through profiles to judge seniority, technical background, and interest level eats up hours you don't have.

Who it fits

Sales or business development teams qualifying leads before outreach.

How it works

  1. You submit a LinkedIn profile link through a simple form
  2. The system reads the person's job title, experience, and about section
  3. AI rates their interest in AI, technical depth, and seniority level
  4. It calculates a fit score out of 100 against your ideal customer profile
  5. You receive the full profile details along with the score
What you get

Leads ranked before you spend time on them

Every LinkedIn profile you submit comes back with a fit score out of 100 against your ideal customer profile, ready for your team to act on.

What you get

A scored, enriched profile you can use to prioritize outreach.

What you need

An Airtop account for reading and scoring LinkedIn profiles.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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