Free tool

Fake Follower Risk Checker

Score any creator across the 5 audience-authenticity signals brands miss most often. No login. The risk score is calibrated against the creator's tier — a 2% engagement rate on a 5K nano gets flagged where the same rate on a 5M mega doesn't.

Risk score

20 / 100

Low risk — no major flags surfaced

Engagement vs tier

100

1.22% ER · healthy is 2%+ for this tier

Comment density

0

2.00 comments per 100 likes · healthy is 2-5

Foreign audience %

0

15% in bot-farm geos · healthy is <20%

Follower-growth shape

0

No reported spike

Audience demo match

0

Audience demo matches content topic

This is the manual version.SpendVet auto-pulls every signal — engagement, audience location, demographics, growth shape, comment quality — from just a creator's @handle, then scores it across all of the above. 25 free lookups, no card.

The 5 signals brands miss

  1. Engagement-to-tier mismatch. The single highest-signal flag. Low ER for the creator's follower size = either inflated audience or a content/audience mismatch problem.
  2. Comment density. Healthy accounts run roughly 2-5 comments per 100 likes. Significantly fewer = pod-inflated likes without real conversation.
  3. Audience location vs creator location. A US-based creator with 35%+ followers in countries where bot farms operate cheaply (Brazil, India, Turkey, Indonesia) is the #1 fraud pattern.
  4. Audience demographics distribution. Healthy audiences cluster around the creator's actual reach. A creator whose audience is 60%+ male when their content is female-skewing wellness is a red flag.
  5. Recent follower-growth shape. Sudden spikes (10K followers in 48 hours with no viral content) are the fingerprint of bought followers. Steady growth or growth tied to specific viral pieces is healthy.

Full vetting methodology here →

FAQ

Can you guarantee a creator has no fake followers?

No tool can. Even paid forensic audits give a probability score, not a yes/no. What this checker does is surface the strongest signals brands miss in manual review — engagement-to-tier mismatch, comment density, audience location vs creator location — and combine them into a single risk score.

Why does follower location matter?

Because the most common bot pattern is a US/UK-based creator with 30%+ followers from countries where bot farms operate cheaply (Brazil, India, Indonesia, Turkey). That audience-creator location mismatch is one of the highest-signal red flags.

Why don't you connect to Instagram/TikTok APIs directly?

This is the manual-entry version — you enter the signals you can see on the public profile. SpendVet (the product) auto-pulls all of these from just a handle. This page is the free educational version.

What if I get a "high risk" score on a creator I trust?

Two things to check: (1) is the audience-location flag triggered because the creator is genuinely international (a French creator with 40% Brazilian audience because they vacation there often, for example)? (2) Did they recently buy ads that drove low-engagement followers? Both are non-fraud explanations. Use this score as a "prompt to investigate," not a verdict.