Build an ideal customer profile from your best customers' LinkedIn

Analyzes LinkedIn profiles of your best customers and writes a clear ideal customer profile you can use for targeting.

How the work actually flows

A straight line. Runs once per customer linkedin profiles.

Pattern: Multiple Instances with a priori Run-Time Knowledge (14)

flowchart TD trig(("message with linkedin links")):::human s0[["pull profile details"]]:::mi s1["ai finds common patterns"]:::svc s2["write ideal customer profile"]:::svc s3[("save to google doc")]:::store trig --> s0 s0 --> s1 s1 --> s2 s2 --> s3 out[/"written ideal customer profile saved"/]:::out pay{{"consistent targeting criteria for team"}}:::pay s3 --> 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
An outside serviceRuns once per itemA personA record or sheetResultPayoff
Build size
Standard

A mid-size build with several tools working together.

Business functions
AI Agents & Autonomous SystemsAI Chatbots & AssistantsCRM & Sales Pipeline
Connects
AirtopClaudeGoogle Docs

The problem it solves

You know roughly who your best customers are, but turning that into a clear profile your whole team can use for targeting is hard to do consistently. Without it, sales and marketing end up chasing leads that don't actually fit.

Who it fits

A marketing or sales leader defining who to target for new business.

How it works

  1. You send a chat message with LinkedIn profile links for your best customers
  2. The system pulls structured details from each profile, like role, company, and experience
  3. AI reviews all the profiles together and identifies the common patterns
  4. It writes a clear ideal customer profile and a scoring approach for new prospects
  5. The finished profile is saved to a Google Doc
What you get

Targeting patterns drawn from your best customers

You get a clear ideal customer profile and scoring approach built from the LinkedIn patterns of your best existing customers.

What you get

A written ideal customer profile with a scoring method, saved as a Google Doc.

What you need

An Airtop account, an Anthropic Claude API key, and a Google account for Docs.

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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