Screen influencers for fake followers before you sign a deal

Analyzes an influencer's profile and engagement to score authenticity and flag fake followers before you pay them.

How the work actually flows

A straight line.

Pattern: Sequence (1)

flowchart TD trig(("submit influencer username and platform")):::human s0["pull profile and engagement data"]:::svc s1["check follower ratios and patterns"]:::task s2["AI reviews behavior in depth"]:::svc s3(("email authenticity report")):::human trig --> s0 s0 --> s1 s1 --> s2 s2 --> s3 out[/"authenticity report with risk score"/]:::out pay{{"avoid paying for fake reach"}}:::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
A stepAn outside serviceA personResultPayoff
Build size
Standard

A mid-size build with several tools working together.

Business functions
Social Media ManagementEmail AutomationSpreadsheet & Database OpsAPI & Webhook Integration
Connects
InstagramTwitter/XTikTokClaudeEmail

The problem it solves

Signing a partnership with an influencer who has bought followers means paying for reach that doesn't actually exist. Spotting bot accounts and fake engagement by eye is nearly impossible, and by the time you notice the campaign underperforming, the budget is already spent.

Who it fits

Marketing and partnerships teams vetting influencers before a paid campaign.

How it works

  1. You submit an influencer's username and platform
  2. The system pulls their full profile and engagement data
  3. It checks follower ratios, growth patterns, and posting consistency for red flags
  4. AI reviews the behavior in depth to catch more sophisticated fraud
  5. You get an emailed authenticity report with a risk level and recommendation
What you get

Influencer risk scores before you sign a check

You get an authenticity report on any influencer, flagging fake followers before you commit to a paid deal.

What you get

An authenticity report with a risk score, a partnership recommendation, and a logged record for future reference.

What you need

Access to social platform data, an Anthropic API key for Claude, and email.

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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