See how much of an Instagram audience is real. The free check grades engagement against accounts of the same size, the follower-to-following ratio and comments per like in seconds; the AI Deep Check then reads recent posts and their comments.
See how much of an Instagram audience is real. The free check grades engagement against accounts of the same size, the follower-to-following ratio and comments per like in seconds; the AI Deep Check then reads recent posts and their comments.
ChamsPilot · Free Tools
See how much of an Instagram audience is real. The free check grades engagement against accounts of the same size, the follower-to-following ratio and comments per like in seconds; the AI Deep Check then reads recent posts and their comments.
Fake followers follow without ever seeing, liking or commenting: bought bundles, bots and profiles abandoned years ago. They are easy to add and hard to hide, because the rest of the account does not grow with them.
Engagement rate on Instagram is likes plus comments on recent posts, divided by followers. Bigger accounts naturally earn lower rates, so compare like with like: the checker grades a 20,000-follower account against accounts with 10,000 to 100,000 followers, where 2% is average and anything under 0.8% is poor.
Accounts grown by follow-for-follow automation follow thousands of profiles to collect follow-backs, then unfollow. What remains is a following count close to, or above, the follower count. The checker flags an account that follows more people than follow it, and reads a follower-to-following ratio under 0.3 as follow-back farming.
Many fake followers are simply empty: no posts, no profile photo, a username like user58302194, following hundreds of accounts. Every account collects a few; bought bundles are mostly ghosts. You can spot them by opening the followers list and scrolling.
Instagram shows reach only to the account owner, in Insights. If a creator shares Insights, compare accounts reached per post with followers: when most posts reach a small fraction of followers and engagement is low too, much of the audience is not active.
Bots and engagement pods leave the same short comments everywhere: 'Nice!', a row of emojis, 'DM us to collab'. Forty generic comments say less about an audience than five specific questions.
Thousands of new followers in a day with no viral Reel, press mention or collaboration behind them, often followed by a slow decline, is what a purchase and Instagram's cleanup look like. Instagram does not show follower history publicly, so ask for an Insights screenshot of follower growth.
| Followers | Poor | Below average | Average | Good | Excellent |
|---|---|---|---|---|---|
| Under 10,000 | under 1% | 1% to 3% | 3% to 6% | 6% to 12% | 12% or more |
| 10,000 to 100,000 | under 0.8% | 0.8% to 2% | 2% to 4% | 4% to 8% | 8% or more |
| 100,000 to 1M | under 0.5% | 0.5% to 1.2% | 1.2% to 2.5% | 2.5% to 5% | 5% or more |
| 1M to 10M | under 0.3% | 0.3% to 0.8% | 0.8% to 1.5% | 1.5% to 3% | 3% or more |
| 10M or more | under 0.2% | 0.2% to 0.5% | 0.5% to 1% | 1% to 2% | 2% or more |
Engagement rate = average likes plus comments on recent posts ÷ followers × 100. These are the grades ChamsPilot's checker applies, not an industry standard. Poor subtracts 18 points from the score and below average 8; average adds 2, good 7 and excellent 12.
A calculator and ten minutes are enough for a first read. Or paste the handle at the top of this page: the free check runs the numeric part of this audit in seconds.
Take an illustrative account with 48,000 followers, following 6,100 profiles, 900 posts, and an average of 610 likes and 14 comments on its last 12 posts.
The free check reads it signal by signal, as the table below shows. The verdict, Needs Review, is not an accusation: nothing here proves fake followers. It means the public numbers cannot clear the account on their own, so before paying for a post, run the AI Deep Check, which reads the recent posts and their comments, or ask the creator for an Insights screenshot of reach.
| Signal | This account | Effect on the score |
|---|---|---|
| Engagement rate | (610 + 14) ÷ 48,000 = 1.3% | Below average for 10,000 to 100,000 followers: minus 8 |
| Accounts followed | 6,100 | More than 98% of organic Instagram creators this size follow fewer: minus 6 |
| Posting history | 900 posts | Consistent: plus 3 |
| Comments per like | 14 ÷ 610 = 2.3% | Natural: no change |
| Score | 65, minus 8, plus 3, minus 6 | 54 · Needs Review |
An illustrative account scored with the same rules the free check applies to Instagram.
The free check reads the public numbers. The AI Deep Check reads the audience behind them.
The latest 15 posts (30 on the full report), with their likes, comments and video views, and the latest comments under each post. Private accounts cannot be checked.
A ghost follower estimate from the median reach of recent posts (views on videos, likes on photos) against followers, where 3% to 30% is the healthy range; posts more than 2.5 standard deviations above the account's own engagement; generic, emoji-only and duplicate comments; bot-style usernames; comments that arrive in bursts of three or more within a minute; comment languages that do not fit the audience; and commenters ChamsPilot has already seen on five or more creators.
Fixed rules in code compute every number, the same way for every account, across comment authenticity, engagement pattern, audience quality, language fit and community depth. A High Risk verdict needs strong signals in more than one area, never a single weak one. The AI writes the explanation and points out contradictions; it never sets the score.
It does not see Instagram Insights, the full follower list or anyone's private data, and it does not remove followers or report accounts. A low score is evidence to review before you pay, not proof that someone bought followers.
Instagram removes inauthentic likes, follows and comments made through third-party growth apps, and accounts that keep using those apps can see their Instagram experience limited. Bought followers therefore tend to disappear in the weeks after a purchase.
Instagram's Help Center also explains how to remove followers and potential spam accounts from your followers list. Clearing out ghost accounts lowers the follower count but lifts the engagement rate, which is the number brands actually look at.
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4.8 / 5 · 1,252 ratings
These ratings cover this tool and the others built on the same engine. They come from people we have worked with and from visitors rating here. How we collect them
Compare engagement with accounts of the same size, check whether the account follows more people than follow it, and read the comments. A 50,000-follower account averaging 150 likes, following 52,000 profiles and collecting emoji-only comments shows all three warning signs. Paste the handle above and the free check grades the numbers in seconds, with no login.
No outside tool can count them one by one, because Instagram shows the full follower list and Insights only to the account itself. A checker estimates instead: the free check turns the public numbers into an authenticity score, and the AI Deep Check estimates the share of ghost and inactive followers from how many followers actually see and react to recent posts.
The check on this page is free and never asks for an Instagram login: it reads public profile numbers only. Do not give your Instagram password to any follower app; Instagram's Help Center warns that apps offering likes and followers can gain access to your account. The full AI Deep Check report is a one-time purchase per creator with no account needed, and it is included in ChamsPilot plans.
Yes. Instagram's Help Center explains how to remove followers and potential spam accounts from your followers list, and Instagram removes inauthentic follows made through growth apps on its own. Your follower count drops, but your engagement rate, the number brands check, goes up.
Type your own username into the checker at the top of this page. It grades your engagement against accounts your size and flags the patterns fake followers leave, such as follow/unfollow churn and bot comments. No outside tool can count fake followers exactly without Instagram's own data, so read any percentage as an estimate. In Insights, reach far below your follower count points the same way.
It depends on the account's size. The checker calls 3% to 6% average under 10,000 followers, 2% to 4% for 10,000 to 100,000, 1.2% to 2.5% for 100,000 to 1 million and 0.8% to 1.5% for 1 to 10 million. Rates well below those ranges are what fake or inactive followers produce.
Usually one of three reasons: followers that were bought or collected through follow/unfollow tactics, an audience that went inactive years ago, or posts that stopped reaching followers. Reading the comments and asking for reach in Insights tells them apart.
Yes. Brands and agencies compare engagement with follower count before they pay, because a sponsored post only reaches the followers who are real. An inflated account either gets a lower rate or loses the deal once the audit shows it.
Yes. Since November 2018 Instagram has removed inauthentic likes, follows and comments made through third-party apps that boost popularity, using machine-learning tools, and it tells affected accounts with an in-app message. Meta's spam policy also bans buying, selling or exchanging likes, views or follows. Bought followers therefore tend to disappear in the weeks after a purchase.
Yes. Type the username into the checker at the top of this page: nothing is installed, no Instagram account is connected, no password is asked for and the first check needs no signup. It reads what Instagram shows publicly, so private accounts cannot be checked.
Compare the followers with what they do. Bought followers never like or comment, so engagement sits far below accounts the same size; the followers list fills with empty profiles following hundreds of accounts; and the count jumps by thousands in a day with no viral Reel or collaboration behind it. The free check above grades the engagement against accounts the same size and flags follow-back patterns.
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