ChamsPilot · Free Tools
Followers are one question. This one is different: are the likes and comments real? The free check reads the engagement on the recent posts against what creators this size on Instagram actually get.
On Instagram they are not equally common. Pods are by far the most widespread, and they are the hardest to see from a number alone.
Real creators liking and commenting on each other on a schedule. Endemic on Instagram because early engagement affects reach. Individually every account is genuine, which is why the signal is never one account · it is the same group under every post, minutes after it goes up.
Sold by the thousand and delivered within an hour of posting. They push the like count past the range for the account's size while the comment count stays exactly where it was.
A few words, often emoji, sometimes in a language the audience does not speak. Bought by people who were told comments count more than likes. They do count more · which is why reading them is the fastest way to know.
Instagram is the platform where the public numbers are thinnest: likes and comments are published, reach and impressions are not. An honest check works with what exists and says which figures it could not read, instead of quoting an engagement rate built on a reach number that was never public.
The first reading is likes against followers, compared with the range Instagram creators of that size measurably get rather than against an article's benchmark. Both directions matter: far above the range suggests the likes were added, far below suggests the followers were.
The second is comments against likes. This is where pods and bought likes separate: a pod produces comments, so the ratio can look healthy while the comments themselves are hollow. Bought likes produce none, so the ratio collapses. One needs the text read, the other does not.
The third is consistency. A real feed is uneven · a post that travelled sits beside three that did not. A feed where every post lands within a few percent of the same engagement, month after month, is describing a service rather than an audience.
Both have 80,000 followers and both average 3,600 likes a post. One is in a pod.
Nothing about Account B is fake in the sense of bots: those are real people with real accounts. What is not real is the signal · the engagement says nothing about whether an audience cares, so it says nothing about whether a campaign will work.
| Account A | Account B | |
|---|---|---|
| Likes a post | 3,600 | 3,600 |
| Comments a post | 95 | 140 |
| When the comments arrive | Over the first day | 82% within 9 minutes of posting |
| Who comments | Mostly different accounts each time | The same 30 accounts under almost every post |
| What they say | About the post | "Amazing!", "So good", flame emoji |
| Variation across posts | Likes 1,900 to 9,400 | Likes 3,400 to 3,800, every time |
| Reading | A real audience | A pod, with a real account attached |
Account B has MORE comments than Account A. A rate alone would rank it higher, which is exactly how pods survive a spreadsheet.
The free check sees the shape of a pod. The paid audit reads who is in it:
How much of the comment volume comes from the same accounts every time · the defining measurement of a pod, and invisible in any rate.
The share of comments landing in the first minutes after posting, across many posts rather than one.
A pod comment is written to be reusable. An audit reads whether comments refer to what is actually in the post.
What a post is worth on the engagement that came from outside the group.
| Signal | What counts as normal | What gets flagged |
|---|---|---|
| Likes against followers | Inside the range Instagram creators of that size measurably get | Far above it, or far below it |
| Comments against likes | Comments grow with likes, at that account's own proportion | Heavy likes with almost no comments, or the reverse |
| Engagement across posts | Varies: some posts land, some do not | Nearly identical on every post, week after week |
| Reels against photos | Judged separately, because they behave differently | Nothing is averaged across formats that do not compare |
| Comment text, authors and timing (AI Deep Check) | Comments about the post, arriving over hours | The same accounts within minutes of every post |
Instagram publishes likes and comments; reach and impressions are private to the account owner. So an engagement check reads what is public and says so, rather than estimating a rate from numbers nobody published.
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Likes, comments, saves and shares that did not come from people who watched the post. They are sold by the thousand, traded in groups where members like each other's posts, or produced by comment farms that leave a few words under everything. It is a different problem from fake followers: an account can have a completely real audience and still buy likes on every post.
Compare the numbers with what creators of that size measurably get on Instagram, and with each other. Likes far past the range for the account's size, comments that do not grow with the likes, and engagement that is identical on every post regardless of how the post did are the three that show up without reading a single comment.
A group of creators who agree to like and comment on each other's posts, usually within minutes of publishing. From outside it shows as comments arriving in a tight burst right after posting, from the same accounts every time, with text that fits any post. The free check sees the shape; the AI Deep Check reads who the commenters are.
Yes. Every major platform's terms prohibit artificially inflating engagement, and all of them remove what they detect. The more practical risk for a brand is simpler: you are paying for an audience that will not buy anything, because it was never watching.
A private group, usually on Instagram DMs or Telegram, where members agree to like and comment on each other's posts immediately after publishing. It exists because early engagement affects distribution. The accounts are real, so nothing about them looks fake one at a time; what shows is the same names under every post, arriving within minutes, saying things that would fit under anything.
Compare likes with what creators of that follower count measurably get, then compare comments with likes. Bought likes sit far above the range while the comment count does not move, because comments are several times more expensive to fake. An account where every post has almost exactly the same number of likes is the other pattern.
No. Instagram lets an account hide its like count from others, and when that happens the check says the figure was not published rather than guessing one. Comments, comment timing and the accounts behind them are still readable, and those are the harder things to fake anyway.
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