Is Commenting with an AI Extension Safe for Your Account?

"Will this get my account banned" is the question we hear most before anyone even tries Comment Generator. It's a fair question, and it deserves a real answer rather than a reassurance. So here's the real one, built from what Instagram, LinkedIn, and Meta actually publish in their own rules, what's actually been enforced against real services and real users, and what security researchers have documented about the tools that genuinely do put an account at risk.

The short version: the platforms don't punish AI involvement in drafting a comment. They punish automation and credential sharing, two specific things a drafting tool that fills a comment box and waits for you to click post doesn't do. The rest of this post is the evidence for that distinction, not just the assertion of it.

What Instagram's own rules actually say

Meta's Community Standards on spam prohibit content "designed to deceive, mislead, or overwhelm users in order to artificially increase viewership," and the specific conduct named is "posting, sharing, engaging with content or creating accounts... either manually or automatically, at very high frequencies." Read that closely: automation isn't the trigger by itself. Frequency is. The policy also notes that accounts acting at lower frequencies can still be restricted if other signals of inauthenticity are present, like repetitive content, but the baseline test is volume and pattern, not whether a tool helped write something.

Instagram's Terms of Use go further in one specific direction: they prohibit automated account creation and automated collection of information, but they don't name automated commenting the way LinkedIn's rules do, which we'll get to. What Instagram does publish, in a 2018 announcement about cracking down on inauthentic activity, is aimed squarely at third-party apps that require your username and password to inflate likes, follows, and comments artificially. That's a meaningfully different category of tool than one that never asks for your login at all, and it's the category actually named in Instagram's enforcement history.

What LinkedIn's rules say, and why they're stricter on this specific point

LinkedIn's User Agreement is more explicit than Instagram's, and worth quoting directly because it names the exact activity: members may not "use bots or other unauthorized automated methods to access the Services... create, comment on, like, share, or re-share posts, or otherwise drive inauthentic engagement." LinkedIn's help pages add that browser extensions which "scrape, modify the appearance of, or automate activity" aren't permitted, and that violating accounts "risk having their accounts restricted or shut down."

That's a real, sourced difference between the two platforms, and it's worth taking seriously rather than smoothing over. But notice what the rule is actually pointed at: automated methods that post without a person clicking anything. LinkedIn's own VP of Product Management put it precisely in 2026, describing the target as "comments that are posted to LinkedIn through a third party auto-script or a browser plugin without any human oversight or review." A tool that drafts a comment and leaves it sitting in the native comment box until you personally read it and click post isn't the auto-script LinkedIn is describing. It's the opposite of it: a person, seeing the exact text, making the final call.

LinkedIn's own transparency reporting backs up how seriously it takes the automated version specifically: in the second half of 2025 alone, it removed over 68 million pieces of spam and scam content proactively, and reports that automated systems, not human review, catch 98.6% of it. That's a platform that has built real detection capacity around volume and automation patterns. It's also, indirectly, a reason a slow, reviewed, one-comment-at-a-time habit doesn't look anything like what those systems are tuned to catch.

The specific numbers you'll see quoted online aren't real

Search for "how many Instagram comments per day is safe" and you'll find confident numbers: 150 to 200 a day, no more than one every 30 seconds, a hard ceiling around 12 comments an hour. None of these appear anywhere in Meta's or LinkedIn's actual published policies. We checked. Meta's spam policy deliberately uses the phrase "very high frequencies" rather than a number, and neither platform publishes a rate limit for comments anywhere in their public documentation. Every specific figure circulating online traces back to SEO blogs, proxy vendors, and social media growth tools, not to anything Instagram or LinkedIn has stated. Treat any exact number you see quoted as someone's guess dressed up as a fact, ours included if we ever slipped and gave you one: we won't, because it isn't ours to give.

What actually gets accounts and services shut down, in real cases

Rather than argue in the abstract, here's what's actually happened. In 2018, Instagram announced it would start removing engagement from accounts using third-party apps that required a username and password to inflate likes, follows, and comments, forcing affected users to reset their passwords and warning that continued use "may see their Instagram experience impacted." In 2017, Instagram forced the shutdown of several automated engagement tools, including Instagress, Mass Planner, PeerBoost, InstaPlus, and FanHarvest, all of which required account credentials to auto-post likes and comments on a user's behalf. Users of Instagress were left submitting refund requests once it disappeared overnight.

On the LinkedIn side, a 2020 federal complaint against a scraping service called Massroot8 documented that the service required users to share their LinkedIn username and password, and that LinkedIn subsequently disabled the service's own accounts and required its roughly 5,500 affected users to reset their passwords to secure their accounts. Every enforcement action we could verify, on either platform, targeted services that either scraped data at scale using fake accounts, or required users to hand over real login credentials so the service could act on their behalf. We found no documented case, anywhere, of enforcement against a tool that only drafts text into a comment box for a logged-in user to review and post themselves.

Why credential sharing is a fundamentally different risk than drafting

This is worth understanding precisely rather than vaguely, because it's the actual mechanism behind why "no login required" isn't just a privacy nicety. Security researchers classify stolen session cookies (the small file that keeps you logged in after you enter a password) as their own attack category, because a stolen cookie can grant access to an account without the password at all, and can bypass multi-factor authentication entirely. Microsoft's own threat intelligence team reported that one piece of malware, Lumma Stealer, infected over 394,000 Windows computers in a two-month span in 2025 specifically to harvest saved passwords and session cookies from browsers. Google's security team has been rolling out hardware-bound session credentials specifically because stolen cookies have become such a common way to defeat MFA.

Any tool that needs your account password, or that logs into your account from its own servers rather than running inside your own browser session, is handing a third party exactly the kind of access that infostealer malware is built to steal and that platforms actively watch for from unfamiliar locations. A browser extension that reads what's already rendered on the page in front of you and never asks for a password is a categorically different thing, not just a more cautious version of the same thing.

It's also worth being honest that browser extensions in general aren't automatically risk-free just because they don't ask for a password outright: a supply-chain attack in December 2024 compromised a set of legitimate Chrome extensions through a phished developer account and used them to steal session cookies and API tokens. The distinction that actually matters isn't "extension versus login-based tool." It's scope of access: does the extension need your credentials at all, does it exfiltrate your session to a server somewhere else, and does a human review the output before anything gets published. Those three questions, not the word "extension" by itself, are what determine the actual risk.

Where Comment Generator sits against all of this

Comment Generator never asks for your Instagram, LinkedIn, or Threads password, and it never logs into your account from anywhere other than the browser session you're already using. It reads the caption of the post in front of you, drafts a comment based on it, and puts that draft in the platform's own native comment box, where it sits until you read it and click post yourself. Nothing about that pattern matches the automation LinkedIn's rules name, the frequency abuse Meta's spam policy targets, or the credential-sharing pattern behind every real enforcement action we could find on either platform.

That's a design decision, not an accident, and it's the same one behind why the extension can't post on your behalf even if you wanted it to: see why AI-drafted comments still need a human in the loop for the fuller argument. The practical guidance that actually follows from all of the above isn't a magic number of comments per day, because no such number exists in any platform's real rules. It's simpler than that: never give a commenting tool your password, keep your volume to something a person could plausibly have written and read, and make sure a human, you, reads every draft before it goes out under your name. That's the whole risk model, and it's the one we built the product around.