Tools & Safety8 min read
LinkedIn Comment Generator Guide: Free Tools vs Real Automation
LinkedIn comment generator guide: how these tools work, free generators vs automation, a four-check evaluation list, and six real options compared honestly.
By Commenti Team, linkedin growth research
The short version
- A LinkedIn comment generator drafts a comment from a post you feed it; you edit the draft and publish it yourself, which keeps the posting action human.
- Free generators cover occasional use, assistive extensions speed up daily manual commenting, and automation tools write and post comments on their own.
- Judge any comment generator on voice control, context awareness, editing friction, and volume limits before you trust it anywhere near your account.
- LinkedIn's User Agreement prohibits automated posting, so tools that publish comments for you, including Commenti, operate against that policy and carry real risk.
- Replying to comments on your own posts is a separate job from commenting on strangers' posts, and most generators handle it badly without extra context.
Frequently asked questions
What is the best free LinkedIn comment generator?
For a handful of comments a day, ChatGPT with a good prompt beats most dedicated free generators, because you can feed it your own past comments as voice samples. The free web generators all wrap comparable language models, so pick one that skips signup and move on. Workflow, not writing quality, is the real difference between them.
How does a LinkedIn comment generator work?
You give the tool a post, either by pasting the text into a web app or letting a browser extension read it in place. A language model drafts a comment in the tone you picked, you edit the draft, and you publish it yourself. Automation tools go one step further and post without you.
Are LinkedIn comment generators against LinkedIn's rules?
Copy-paste generators and assistive extensions leave the posting to you, so the action LinkedIn sees is a human one. Tools that post automatically, Commenti included, operate against LinkedIn's User Agreement, which prohibits third-party automation. That risk is real, and it grows with volume, speed, and generic output.
Can I use a generator to reply to comments on my own posts?
Yes, and it is one of the better uses, because author replies keep threads alive and signal an active conversation. Give the tool context it cannot see on the page, like your relationship to the commenter, and keep replies shorter than the original comment, ideally ending with a question.
Written by the team building Commenti on real LinkedIn growth data. Found an error? Tell us and we’ll fix it. Accuracy beats winning.
Commenti Team
LinkedIn growth research
Part of the team behind Commenti, the LinkedIn comment automation tool by Ampliflow that grows your presence in your own voice.
A LinkedIn comment generator is a tool that drafts a comment for you: paste in a post (or let an extension read it), pick a tone, edit the draft, publish. Free web generators cover occasional use. Paid tools add voice training, targeting, and in some cases automated posting, which changes the rules you are playing by.
Search this term and you get roughly ten near-identical landing pages, each with a paste box and a tone dropdown, none of which explain how the tools actually differ or when a generator is the wrong instrument entirely. We are going to do both. One thing first, since our own tool appears below: Commenti is our product; treat this comparison accordingly.
What a LinkedIn comment generator actually is
A comment generator is software that reads a LinkedIn post and drafts a relevant reply in a tone you choose, for you to review and publish.
Under the hood, nearly every one of them wraps a general-purpose language model, which collapses a lot of the marketing: raw writing quality across tools is closer than any vendor admits. What actually differs is workflow (a paste-in web page versus an extension that drafts where you read), voice control (six generic presets versus a model tuned on your history), and what happens after the draft exists. The presets themselves are near-universal: insightful, personal story, contrarian, data-backed, question, witty.
Why bother at all? Because comments put your name in front of other people's audiences without you publishing a single post, which makes them the cheapest distribution LinkedIn offers. For volumes, daily limits, and the honest risk picture, our guide to auto comments for LinkedIn covers that side in full.
Three tool types, and the line between them
Everything in this category sits in one of three buckets, and the bucket matters more than the brand:
The line that matters is who clicks post. LinkedIn's User Agreement prohibits third-party software that automates activity, and its help page on prohibited software and extensions names bots that comment specifically. Buckets one and two keep the posting action human. Bucket three, which includes our own product, operates against that policy, and any vendor who implies otherwise is selling something. We wrote up what enforcement actually looks like in is LinkedIn automation safe; the short version is that risk is real and scales with volume, speed, and how generic your comments read.
Four checks before you rely on any of them
Voice control. Six tone presets is not a voice. Look for tools that learn from your actual writing, or at minimum let you save a detailed style prompt. Generic voice is the biggest reason AI comments get ignored, and readers have learned to spot AI comments on LinkedIn faster than the tools have learned to hide them.
Context awareness. A tool that only sees pasted text will confidently misread sarcasm, miss that a post announces a layoff rather than a launch, and congratulate the wrong thing. Tools that read the full post, the author, and the existing thread draft noticeably better. Test with an ambiguous post before you judge.
Editing friction. Count clicks from draft to published. If editing feels like work, you will stop editing, and unedited output is exactly the stuff feeds are drowning in. The best tools assume you will rewrite and treat the draft as raw material.
Volume and limits (automation only). If a tool brags about hundreds of comments a day, it is describing a spam machine with your name on it. Hard daily caps, randomized pacing, and skip filters are what responsible design looks like in this category; their absence tells you how the vendor thinks about your account.
Six real options, compared at the model level
We checked each vendor's own site in July 2026 and describe pricing models rather than exact prices, which change often.
ChatGPT, or any general chatbot
The ceiling and the floor of the category at once. With a strong prompt, your past comments as examples, and a real opinion to inject, a general model out-writes every dedicated tool here, and the free tier costs nothing. Without that effort it produces the polished emptiness that gets scrolled past. All pasting and posting is on you: fine at three comments a day, miserable at fifteen. Model: free tier, optional subscription.
Engage AI
An assistive extension for Chrome and Edge: it drafts a comment under the post you are reading, you personalize and publish. Its honest strength is that the whole design assumes you approve every single comment, which keeps you on the right side of the posting line. Its honest limit is that it saves writing time, not attention; you still show up and do the rounds yourself. Model: free tier plus paid subscription.
Commenter.ai
Included because older listicles still recommend it as a comment writer. As of mid-2026 its homepage positions it as a sales conversation prioritization tool that ranks active deal threads across LinkedIn and email, with AI drafting inside, rather than a standalone generator. If you saw it recommended for pure commenting, check what it is now before you buy. Model: subscription with a short free trial.
Taplio
A broad LinkedIn content platform: AI post writing, scheduling, analytics, plus an engagement feature for showing up on target people's posts. Commenting is one tab among many, so it suits people running a full posting routine who want engagement bolted on, not comment-first growth. We compared the two approaches in Commenti vs Taplio. Model: subscription with a free trial.
PowerIn
Full automation: you pick creators and keywords, it writes and publishes comments on its own, with tone options and multilingual support. Credit where due: targeting is flexible and setup is quick. Two caveats. Its top tiers permit daily comment volumes we consider indefensible for any account you care about, and its marketing makes safety promises that no vendor in this category, us included, can honestly make. The longer version lives in Commenti vs PowerIn. Model: subscription tiers priced by comment volume.
Commenti
Ours, so recalibrate accordingly. Commenti targets the creators and keywords you pick, matches your tone from your own writing, and either queues every draft for approval or autoposts within hard daily caps, with randomized human-like pacing and skip filters for posts you should not touch. Plans are $19, $29, and $49 a month billed yearly for 20, 40, or 60 comments a day, and the first 200 users get a 60-day free trial. The caps are a design decision, not a limitation we apologize for: volume is the loudest automation signal there is, so the tiers are built around 20-60 new followers a day and stop there. Results vary by niche, profile, and account history. And plainly: if you comment a few times a week, Commenti is a bad fit; a free generator or ChatGPT covers you.
The reply job nobody separates
Every generator markets itself on commenting on other people's posts. A second job hides inside the category: replying to the comments arriving on your own posts. It is a genuinely different task. The model needs context the page does not show (you are the author, you may know the commenter, the thread has history), and the output should be shorter and warmer, ending with a question more often than not.
It is also high-value work. An author who replies keeps threads alive, and an active thread is one of the signals LinkedIn's distribution system rewards; we unpack the mechanics in how the LinkedIn algorithm works. If you use a generator for replies, feed it the relationship ("longtime client", "stranger who disagreed politely"), never let it restate the comment back, and answer within a few hours while the thread is warm.
Match the tool to your volume
A few comments a week: ChatGPT or any free generator. Paying for software at this volume is buying a drill to hang one picture.
Five to fifteen manual comments a day: an assistive extension, or a generator plus discipline. At this volume, voice quality decides outcomes, so spend your effort on the style prompt and the edit.
More volume than you can sustain by hand: an automation tool with caps, a review mode, and pacing, chosen in full knowledge that LinkedIn prohibits the category and that enforcement lands hardest on high-volume, generic accounts.
Whatever you pick, the generator is the easy part; every tool on this page can produce plausible words. What separates outcomes is whether those words carry anything only you could have said. Tools draft. You decide.