Fake follower checker
Does the audience behave like a real one? Enter any public Instagram, TikTok or YouTube handle and get six checks, each passed or flagged with its numbers, and a risk score out of 100. Free, no sign-up.
What a bought audience costs the person paying for it
A creator with 100K followers and a rate card to match, of whom 40K are real, is charging for an audience that is 60% empty. The client pays for reach that never happens, the agency that booked them carries the blame, and the report at the end of the month has to explain why a six-figure audience produced four-figure results. Every one of those numbers was public before the deal was signed.
What real looks like
- Reactions in proportion to size. Not high, in proportion.
- Comments as well as likes. People who care say something.
- Uneven results. Some posts land, some do not.
- On video platforms, followers who watch.
- Following fewer accounts than follow back, past the first few thousand.
How the audience score works
There are two ways to look for fake followers. The expensive one samples the follower list itself, thousands of accounts per profile, and grades each on whether it looks like a person. That is what the paid platforms do, and it is why they cost what they cost. The other is to read what a bought audience leaves behind in the public numbers, which is what this tool does. Bought followers do not react, do not comment, and do not watch, and those absences show.
The signals
- Engagement against size. The heaviest signal. An account with 200K followers whose posts get the reactions of a 5K account has followers who are not there.
- Comments against likes. Likes are cheap to buy in bulk; comments are not. Under one comment per two hundred likes, on an account big enough that the ratio means something, is a tell.
- Following against followers. An account that follows more people than follow it, past a few thousand, usually grew by following everyone back rather than by being worth following.
- Audience against output. Fifty thousand followers on twenty posts happens, but rarely.
- Consistency. Real audiences are uneven. A run of posts that all land within a few percent of each other looks purchased; one post carrying the whole average means the typical post does far worse than the number suggests.
- Views against followers. On video platforms, followers who never watch are the clearest sign of all.
What the score is, and is not
Each signal adds to a score out of 100, and every point is shown with its reason, so you can disagree with any of them. A quiet week on a small account trips the first signal honestly, which is why one signal on its own never gets past “a few signals” and the score only says high risk when several agree. It is a risk indicator built from public behaviour, not a count of fake accounts, and the page never quotes a percentage it cannot stand behind.
What to do with a score
Low risk of fake followers
Every check passed. Proceed on the numbers, which is all any check can say.
A few signs to note
One check flagged, and it is often innocent: a quiet week, a niche where people watch and do not comment. Read the reason given, and if it matters to the brief, ask.
Some signs of fake followers
Several checks agree. Ask the creator for a screenshot of their own audience insights before booking; a real creator has them and does not mind sharing.
High risk of fake followers
The public numbers look the way a bought audience looks. Treat the follower count as unproven and price the deal on the engagement you can see, if you proceed at all.
Common questions
Can a tool really tell if followers are fake?
Not with certainty, and anyone who says otherwise is selling something. What a tool can do is read how the audience behaves. Bought followers do not react, do not comment and do not watch, and those absences are visible in the public numbers of any account. This checker reads them and shows you every signal it found, so the judgement stays yours.
Why do you not show a percentage of fake followers?
Because we do not sample the follower list, and a percentage without a sample would be made up. The tools that quote one grade thousands of individual follower accounts per check, which costs far more than a free page can carry. We show a risk score out of 100 with its reasons. It is less satisfying than a percentage and more honest.
What does a high score mean?
That several independent signals agree the audience is not behaving like a real one. It does not mean the creator bought followers; audiences also decay, get bought by a previous owner, or come from a giveaway years ago. It means the follower count should be treated as unproven, and you should ask for screenshots of their own insights before paying against it.
Which platforms does it cover?
Instagram, TikTok and YouTube. Paste a profile link from any of them, or type the handle and pick the platform.
Can it check my own account?
Yes, and it is worth doing. If a brand runs your handle through a checker like this before a deal, this is roughly what they will see.
Is it free?
Yes, with no account. Results are kept for 24 hours, so checking the same handle twice in a day shows the same report.
Check every creator, not only the one you were suspicious of
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