Free tool

Creator Authenticity Checker

Enter a creator's public numbers and see whether the ratios between them look normal — the follower-to-engagement patterns that often accompany bought followers. An estimate from the figures you provide, not an inspection of the account. 100% free - no signup required.

All free tools/Creator Authenticity Checker

Authenticity Score
100
Likely Authentic - 100/100
Engagement Rate
3.1%
Platform avg: 3.0%
Like:Comment Ratio
25:1
Healthy: 10-50:1
Following Ratio
0.5%
Following ÷ Followers

Audit Findings

Healthy engagement rate
Like-to-comment ratio (25:1) is normal
Following-to-followers ratio is healthy
Consistent posting frequency

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Authenticity Guide

How to Spot Fake Influencers

The key signals, ratios, and red flags that separate genuine creators from accounts inflated with bots and purchased followers.

Engagement rate is the #1 signal

A creator with 100K followers should get roughly 2,000-5,000 likes and 80-200 comments per post on Instagram. If engagement is below 0.5% or above 15%, something is likely wrong - either purchased followers diluting real engagement, or bot-inflated likes.

Like-to-comment ratio matters

Healthy accounts typically have 20-50 likes per comment. If a post has 5,000 likes but only 10 comments (500:1 ratio), those likes are almost certainly purchased. Real audiences leave comments, ask questions, and tag friends.

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Growth patterns and red flags

Sudden spikes in followers (e.g., gaining 50K in a week) without a viral post or media feature usually indicate purchased followers. Healthy growth is gradual and correlates with content publishing frequency. Also watch for high following-to-followers ratios - accounts following thousands while having similar follower counts often use follow-for-follow bots.

FAQ

Frequently Asked Questions

Common questions about influencer authenticity and bot detection.

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Disclaimer: This Creator Authenticity Checker provides estimates based on publicly visible metrics. It cannot definitively identify all forms of fraud. Use results as a screening tool alongside manual review and platform-specific analytics.