What Is an Audience Quality Score?
A single 0 to 100 number for how real an audience is. Here is what each band means and how AI plus statistics produce the score.
An Audience Quality Score is a 0 to 100 rating of how authentic an Instagram account's followers and engagement are. EngageCheck blends AI with statistical signals like engagement rate, follower authenticity, comment quality, growth pattern, and username entropy to calculate it. 80 to 100 means a mostly real audience, 60 to 79 is moderate with signals to review, and 0 to 59 flags high risk of fake or inflated engagement.
How your score is calculated
We gather public signals
EngageCheck pulls public profile data: follower patterns, engagement, comments, and posting history. No login or password is ever needed.
Statistics set the baseline
Each metric is compared against accounts of similar size, so a 2 percent engagement rate is judged in context instead of against a fixed number.
AI weighs the patterns
A model trained on real and fake accounts weighs the signals together and catches combinations that a single metric would miss.
Read your band
The result is one 0 to 100 score in three bands: 80 to 100 high quality, 60 to 79 moderate, and 0 to 59 high risk.
What feeds your Audience Quality Score
Engagement rate
Real likes and comments as a share of followers, benchmarked against accounts of similar size rather than a single fixed target.
Follower authenticity
The make-up of the follower base: dormant accounts, missing profile photos, and ratios that point to bots or bought followers.
Comment quality
Whether comments read like real people or like generic, repeated, emoji-only replies that signal bots and paid engagement.
Growth pattern
The shape of follower growth over time. Vertical spikes with no matching engagement bump usually mean followers were bought in a batch.
Username entropy
The randomness of follower usernames. Clusters of templated or random handles betray automatically generated bot accounts.
AI weighting layer
AI combines the five signals and weighs how they interact, since fake accounts usually trip several at once rather than one in isolation.
Who relies on the score
Brands sizing up a partnership
Turn a creator's audience into one number you can compare before you send product or pay for a post.
Agencies screening a roster
Rank dozens of accounts by score and keep clients away from inflated audiences fast.
Creators benchmarking themselves
See your own Audience Quality Score the way a brand would before they ever reach out.
Common questions
What is a good Audience Quality Score?
80 to 100 points to a high-quality, mostly real audience. 60 to 79 is moderate and worth a closer look. Below 60 means significant fake or inflated engagement was detected and the account should be vetted carefully.
What does a score below 60 mean?
A score under 60 is the high-risk band. It usually reflects several signals firing at once, such as a low engagement rate paired with bot-like followers or sudden growth spikes. It is a strong reason to dig deeper before paying or partnering.
Is a high score a guarantee the account is clean?
No. The Audience Quality Score is an evidence-based probability, not a guarantee. A high score means few red flags were found across the signals, but EngageCheck does not claim 100 percent accuracy. Use it as decision support, not proof.
How is the score actually calculated?
EngageCheck measures the five signals with statistics, benchmarks them against accounts of similar size, then uses AI to weigh how those signals interact. The combined result is the 0 to 100 Audience Quality Score with a breakdown of what drove it.
Does follower count change the score?
Indirectly. Bigger accounts naturally show lower engagement rates, so every signal is compared against accounts of similar size. A 1 percent rate can be healthy at a million followers and weak at ten thousand, and the score accounts for that.
Can two accounts with the same engagement rate get different scores?
Yes. Engagement rate is only one of five signals. Two accounts can match on engagement yet differ sharply on comment quality, growth pattern, or follower authenticity, which is exactly why AI weighs the signals together instead of ranking on one number.
Is checking an account's score free?
Your first audit is free. You add a card to unlock it so each account gets one free audit and bots cannot farm the tool. You are not charged for the free audit, and your card goes only to Stripe.
Related tools and guides
See any account's Audience Quality Score
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