The short answer
If you comment on LinkedIn now and then, ChatGPT is fine. Paste the post, ask for a comment, edit it. The difference shows up when commenting is a daily habit: Replya drafts inside LinkedIn, gives you several different angles instead of one, and is built to avoid the patterns that make a comment read as generated.
The workflow
| ChatGPT | Replya | |
|---|---|---|
| Where you write | A separate tab | Under the post, in LinkedIn |
| Getting the post in | Copy and paste it | Already there |
| Drafts per request | One, unless you ask for more | Five, each a different angle |
| Tone | Whatever you type into the prompt | Picked from a list, with a default you set |
| Your background | Re-explain it, or rely on memory and custom instructions | Role, expertise and notes from Settings, used on every draft |
| Replies on your own posts | Paste the post and the comment | Drafted under the comment you're replying to |
| Posting | Copy back into LinkedIn | Pick a draft, edit, post |
Side by side
We used two of the example posts from our home page. ChatGPT got the prompt “Write a LinkedIn comment replying to this post:” followed by the post, in a fresh chat with default settings. Replya ran its production prompt with the Professional tone, short length and an empty profile, which is what a brand-new user gets. Both on September 23, 2026. Nothing below is edited.
Post one
We cut onboarding from 7 steps to 3. Activation went from 31% to 44% in six weeks. The step we were most scared to remove (team invites) was the one blocking people. Remove the thing you're proudest of first.
ChatGPT
This is such a good reminder that friction often hides in the steps we assume are “essential.” The hardest part isn’t removing a step—it’s being willing to question why it exists in the first place. Great example of letting user behavior, not internal assumptions, drive the experience.
Replya (five drafts)
- The 7-step onboarding process likely introduced decision fatigue, impacting user activation rates.
- Removing the team invites step implies a single-user path was more critical for initial product value.
- A common constraint is internal resistance to simplifying established workflows, even when data suggests it's necessary.
- This suggests re-evaluating all 'critical' onboarding steps for their actual impact on user progression.
- We found a similar pattern reducing our CRM setup from five stages to two, improving data entry compliance.
Post two
I stopped posting every day and started commenting every day. Three months later: more inbound DMs than the whole year before. Posting is broadcasting. Comments are conversations.
ChatGPT
This is a great distinction. Posting can get you seen, but thoughtful comments create actual relationships. The best comments don’t just add visibility—they add value to someone else’s conversation. Consistency matters, but genuine engagement seems to compound differently.
Replya (five drafts)
- The shift from daily posting to daily commenting reallocates engagement from broadcast to direct interaction. This optimizes for inbound lead generation.
- This strategy's effectiveness hinges on the quality of comments. Generic engagement will not yield the same DM volume.
- In a B2B context, a sales development representative could operationalize this by targeting specific industry posts for daily engagement.
- This implies a need to re-evaluate content calendar resources, shifting effort from creating new posts to strategic comment placement.
- The mechanism here is the increased visibility and perceived approachability that active, relevant commenting provides over passive broadcasting.
What stands out
ChatGPT opens with praise. “This is such a good reminder”, “This is a great distinction”. Both replies then restate the post in more general words and close on a summary. They're fluent and polite, and with small changes either could sit under a dozen other posts. The em dashes don't help: readers have learned to spot them.
Replya starts with the point. None of the ten drafts compliments the post, and each takes a different angle: a cause, an implication, an objection, a practical use. That's by design. The prompt bans generic openers and em dashes and asks for five distinct kinds of comment.
Replya's drafts are not all good. With an empty profile and the Professional tone, some read clipped and a little clinical (“The mechanism here is…”). And draft five on the first post invents an experience: “We found a similar pattern reducing our CRM setup…”. If that isn't true for you, delete it or rewrite it with something that is. Drafts are a starting point, which is why Replya never posts on its own. Filling in your role and expertise in Settings is what turns “a similar pattern” into your actual experience.
Where ChatGPT is the better fit
- You comment occasionally and already have ChatGPT open.
- You're writing something longer than a comment: a post, a DM, a reply that needs a real back-and-forth.
- You've built a custom GPT or instructions that already capture your voice well.
- You want to talk the idea through before writing anything.
Where Replya is the better fit
- Commenting is a daily habit and the copy-paste loop is the part you skip.
- You want a few angles to choose from rather than one draft to fix.
- You reply to comments on your own posts and want drafts right there.
- You want the same voice every day without re-explaining who you are.
Cost
ChatGPT has a free tier and paid plans. Replya is free for 10 comments a day, and Pro is $9 a month for 100 a day, with the same drafts on both plans. If you want to try the comparison yourself, add Replya to Chrome and run both on the next post you want to reply to.