Bought LinkedIn comments are cheap. SidesMedia’s LinkedIn comments page listed 10 comments at $5.99 and 500 at $99.99 when retrieved on 22 September 2026. What you get is text posted by accounts that have never met you and have no stake in your argument. The comments read as bought because of who is posting them, not because of how they are written.
Disclosure first: HypeLab makes PostPilot, a LinkedIn engagement product, so this is not a neutral review. Every price and policy quote below was fetched from the vendor’s or LinkedIn’s own page while writing this, with the retrieval date attached.
Wanting more comments is not the mistake. Comments are one of the signals the feed responds to, and a post that collects replies early behaves differently from one that collects none. The question is only what the money actually buys.
What do you actually get when you buy LinkedIn comments?
Buying LinkedIn comments is paying a third party service to post comments on your post from accounts you do not control and have no relationship with. You hand over the post URL, choose a quantity, and they appear.
Vendors sell two versions of the text. SidesMedia states, “We offer two options: custom comments and random comments.” Custom comments let you “tailor the comments to match the specific tone, style, and content of your post.” Random comments are “pre-written, general LinkedIn comments” (retrieved 22 September 2026). SocialPlug describes its custom option the same way: “Provide us with the comments, one line at a time” (retrieved 22 September 2026).
On the custom tier, then, you are not buying writing. You are buying distribution of text you wrote yourself, posted by strangers.
The accounts doing the posting are described plainly on the vendor’s own page. SocialPlug advertises “Realistic looking Linkedin Profiles” and “UHQ Accounts” with “high quality looking profiles & names” (retrieved 22 September 2026). Read the word “looking” twice. It is the vendor’s own choice of word.
Delivery is fast enough to be its own tell. SidesMedia states “Delivery starts in under 30 minutes.” SocialPlug states that “96% of our comments are delivered within 5 minutes” on instant delivery (both retrieved 22 September 2026).
What does it cost to buy LinkedIn comments?
Two pricing shapes dominate: a flat rate per comment, and a tiered pack. Everything in this table was read off the vendor’s own page on 22 September 2026.
| Vendor | Pricing shape | What the page listed |
|---|---|---|
| SocialPlug | Per comment | “Starting from $ 0.036 / Comment” |
| SidesMedia | Tiered packs | 10 for $5.99, 50 for $19.99, 100 for $29.99, 500 for $99.99 |
Prices on these pages move often and are usually shown as a discount off a higher list figure, which is how SidesMedia displayed its tiers on the day we checked. Treat the table as a snapshot. The honest read: buying comments is the cheapest line item in any content budget, and whatever argument exists against it, price is not part of it.
Why do bought comments read as bought?
Five things give them away, and none are fixed by writing better comment text.
- No shared context. A real commenter references something outside the post, like a thing you wrote last month or a conversation you both remember. A purchased commenter has no shared history, so the comment can only refer to the paragraphs in front of it.
- Praise with no object. “Great insight” and “Really well said” are the default, because generic text has to work on any post. A comment that could be pasted under a different post without editing announces itself.
- Wrong vocabulary for the field. Someone who actually works in RevOps or freight brokerage uses the field’s shorthand without stopping to explain it. Generic text uses the vocabulary of LinkedIn in general, a different dialect, and your peers hear it immediately.
- The profile is one click away. This is the one nobody plans for. Any reader curious about a flattering comment clicks the name, and finds a thin profile or a person with no plausible reason to be reading your post about mid-market procurement. That click costs the reader two seconds and costs you the impression.
- The comment misses the argument. Posts that take a position are the worst case. A post arguing that a common practice is overrated collects comments congratulating the practice, because the text was written to praise rather than to reply.
A sixth is structural. Comments arriving inside a narrow delivery window and then stopping is a pattern real conversation does not produce. Genuine replies trickle in over hours as people see the post, which is why how fast comments arrive after you publish matters as much as how many you get.
Is a LinkedIn comments generator the same thing as buying comments?
No, and the difference decides whether it is any use to you.
A LinkedIn comments generator is a tool, usually a browser extension, that drafts comment text with AI so you can reply faster on other people’s posts. The account posting is your own. The text is machine written but attributable to a real person with a real history.
That solves a different problem. A generator helps you say more on other people’s posts. It does nothing for the post on your own profile with two reactions. If your search was “how do I get comments on my post,” a generator is not the answer.
Generators also have their own version of tell number three. Text drafted by a model that only read the post it is replying to converges on the register every other model produces, which is why reply sections under large posts have started to sound identical. We wrote separately about where AI helps with engagement and where it does not.
“Automate LinkedIn comments” splits along the same line. Automating what you say on other people’s posts is one job. Automating who comments on yours is a different one, and only the second changes what a prospect sees.
What does LinkedIn’s own policy say about engagement?
Quoted directly, not paraphrased. LinkedIn’s Professional Community Policies state: “Don’t do things to artificially increase engagement with your content. Respond authentically to others’ content and don’t agree with others ahead of time to like or re-share each other’s content.” The same document states: “Please make the effort to create original, professional, relevant, and interesting content in order to gain engagement” (retrieved from linkedin.com/legal/professional-community-policies on 22 September 2026).
LinkedIn’s User Agreement, in its Dos and Don’ts section, lists among prohibited conduct: “Create a false identity on LinkedIn, misrepresent your identity, create a Member profile for anyone other than yourself” and “Use bots or other unauthorized automated methods to access the Services, add or download contacts, send or redirect messages” (retrieved from linkedin.com/legal/user-agreement on 22 September 2026).
That is what the documents say. This article makes no claim about how LinkedIn enforces them or what happens to any particular account. Read the policies yourself and decide what you are comfortable with. No engagement tool, HypeLab included, can promise you anything about LinkedIn compliance, and any vendor that tells you otherwise is selling a promise it has no way to keep.
What changes when the comment comes from someone in your own network?
HypeLab’s PostPilot runs on a different mechanism. You paste a LinkedIn post URL, PostPilot drafts personalised comments for real members of your network, each of those people reviews the draft written for them, and nothing sends until a human approves it. Approved comments go out with natural timing rather than in a block. PostPilot runs natively with no Chrome extension, and it needs none on any tier including free. The category is no longer split cleanly on this. HyperClapper connects through a Chrome extension by its own description. Podawaa requires one on its Community tiers but not on paid Private Mode, which it calls fully cloud-based. Linkboost states that it runs server-side with no browser extension at all. All three checked on their own sites on 22 September 2026.
Three of the tells above are addressed by that mechanism rather than by better copywriting:
- The profile click lands on a real person with a real reason to be reading your post, because they are in your network.
- A human reads the draft before it sends, so a comment using the wrong vocabulary or praising an argument the post was attacking gets edited or dropped.
- The comment can carry shared context, because the person approving it has some.
Here is how the three approaches compare on mechanism.
| Comment-selling service | AI comment generator | HypeLab’s PostPilot | |
|---|---|---|---|
| Who posts the comment | Accounts the vendor controls | You, from your own account | Real members of your own network |
| Who writes the text | Vendor’s pre-written text, or text you supply | AI drafts, you edit | AI drafts, the network member reviews |
| Human approval before it sends | No | Yes, yours | Yes, the commenter’s |
| What it gets you | Comments on your post | Better replies on other people’s posts | Comments on your post |
| Cost shape | Per comment or per pack, one off | Monthly subscription | Monthly subscription, credit based |
| Browser extension required | No | Usually yes | No |
Where PostPilot is the wrong choice
PostPilot needs a network of people willing to participate. With nobody to opt in, it has nothing to work with, and a comment pack will be faster. HypeLab’s Standard plan is $99 per month for one LinkedIn account and Teams is $149 per month for three, with 20% off annual billing and a free tier at $0. Against a one-off $29.99 for 100 comments, that is not a close call on price.
Review is also work. Every comment passing through a human is the point of the mechanism, and it is also friction. Anyone who rubber-stamps drafts ends up with generic comments from real accounts, which is an improvement, but a smaller one than the mechanism allows. If you would rather build comment volume without either spend, we covered the unpaid ways to earn replies separately.
FAQ
Does buying LinkedIn comments work? It reliably produces comments on your post, quickly, for very little money. Whether that works depends on the goal. If you want a number under the post, it does that. If you want a prospect to read the thread and find people they recognise, comments from accounts with no connection to you do not get there.
How much does it cost to buy LinkedIn comments? Two shapes. SocialPlug listed “Starting from $ 0.036 / Comment” and SidesMedia listed packs from $5.99 for 10 comments up to $99.99 for 500, both retrieved 22 September 2026. Prices on these pages move frequently and are often displayed as a discount off a higher figure, so check the vendor’s page rather than any figure quoted in an article.
Can people tell that LinkedIn comments were bought? Some can. The reliable giveaway is not writing quality, it is the commenter’s profile, which any reader opens in one click. A comment praising a specialist post from an account with no visible connection to that specialism is noticeable to exactly the audience you most wanted to reach.
Can you automate LinkedIn comments without paying a comment seller? You can automate the drafting and the timing while keeping real people and real approval in the loop, which is what HypeLab’s PostPilot does. That is a different trade from paying for volume from unconnected accounts, and it carries its own costs in subscription price and review time.
Decide by clicking three profiles
Before you buy a pack, open the thread under any post you suspect was boosted and click three commenter names. Then do the same under a post from someone in your field whose comment section you envy. The difference between those two experiences is what you are buying or failing to buy, and it takes about ninety seconds to see. If the second version is what you want, the PostPilot mechanism is set out above.
Published by HypeLab AI, which makes PostPilot, a LinkedIn engagement product discussed in this article. We have a commercial interest in the comparison, so every vendor price and policy quote above is attributed to the page it came from with its retrieval date. Check them against the source before acting on anything here.
