A big following can hide a small real audience. Whether you're a brand vetting a creator or a creator auditing your own profile, checking for fake followers protects your budget, your rates, and your reputation. Here's exactly what to check — and how to automate it.
This is the strongest single signal. Divide average likes + comments per post by total followers. As a rule of thumb, large accounts typically land at 1–3%, mid-size accounts at 3–6%, and small niche accounts often higher. An account with 500K followers and 800 likes per post is telling you something.
Organic growth is gradual with occasional spikes tied to viral posts or press. Sudden vertical jumps in follower count — with no matching viral moment — usually mean purchased followers or bot waves.
Generic comments ("Great post!", "🔥🔥🔥", "Nice pic") in high volume are a classic bot signature. Real audiences reference the actual content, ask questions, and reply to each other.
Open a random sample of followers. Red flags: no profile photo, zero posts, follower/following ratios wildly skewed toward following, and usernames that look auto-generated.
If a creator posts in English about wellness in the US, but the audience skews heavily toward regions and languages that don't match, the audience was likely acquired rather than earned.
Manual checks work for one account — they don't scale to a shortlist, and they miss what only data can see. Perkifi's Influencer Risk agent audits follower authenticity, engagement quality, content history, and audience demographics automatically, and returns a 0–100 risk score with a full report.
Creators: run it on yourself before you pitch — your first run is free, no credit card required. Brands: run it across your entire creator shortlist before you sign.