8 ChatGPT prompts for LinkedIn comments that answer the post

The ChatGPT prompts that give usable LinkedIn comments name one point in the post, supply facts only you know and rule out filler. Each of the eight below comes with an example post and a final comment. Both are illustrative.

Disclosure: I build Voxily, a Chrome extension that drafts LinkedIn comments in the comment box. It isn't affiliated with OpenAI or LinkedIn. The prompts work without it.

The posts and comments here are illustrative teaching examples, not transcripts of real conversations. Replace any details about experience or results with facts from your own work.

ChatGPT prompts for LinkedIn comments you can copy

Replace the square brackets with your text, send, then edit with the checklist below.

Prompt 1: respond to one sentence

LinkedIn post: [post]. Write a comment under 50 words that responds only to this sentence: "[sentence]". Say what it makes me think, in plain words. No praise, no summary of the post, no hashtags or emoji.

Illustrative post: "We stopped writing quarterly plans. Each team writes a one-page, six-week bet and reviews it at the end."

Example comment, on "reviews it at the end": "What happens at the review if a bet was half right? I'd settle that before the first cycle ends, or every review becomes an argument."

Prompt 2: add an observation from your own work

LinkedIn post: [post]. A true detail from my work: [one or two sentences]. Write a comment under 60 words that connects my detail to one point in the post. Use only the facts I gave. Don't add numbers, results or customers.

Illustrative post: "Give candidates the problem you're stuck on instead of a puzzle."

Example comment, from the note "two candidates asked to see real tickets first": "We tried this for a support hire. Two candidates asked to see real tickets before answering, and I'd now count that question as part of the test."

Prompt 3: disagree with part of a claim

LinkedIn post: [post]. I partly disagree with: "[claim]". My reason: [reason]. Write a comment under 60 words that says where the claim holds, where it doesn't and why. Direct and respectful. No sarcasm, no "great post".

Illustrative post: "Cold email is dead. Every B2B founder should switch to content."

Example comment: "For a product people already search for, sure. For something nobody knows to look for yet, emailing ten well-chosen people may be the faster way to learn if the problem is real."

Prompt 4: find a question you want answered

It returns options, not a comment.

LinkedIn post: [post]. Suggest three questions I could ask the author about a decision or detail the post leaves out. Under 25 words each. Skip anything the post already answers.

Illustrative post: "We moved support into a shared Slack channel with each customer."

Example comment, after picking one question: "How do you handle a customer who posts something sensitive in the shared channel? I'd want that agreed before moving a bigger account."

Prompt 5: congratulate with substance

LinkedIn post: [post]. Write a congratulations comment under 40 words that names what they finished and one detail showing the work behind it. No "huge milestone", no exclamation marks, no emoji.

Illustrative post: "After 14 months, every form in our app works with a keyboard alone."

Example comment: "Congratulations. Making every form work by keyboard means touching every screen, which explains the fourteen months."

Prompt 6: reply to a comment on your own post

My LinkedIn post: [post]. The comment: [comment]. What I know that they don't: [fact]. Write my reply in under 50 words. Answer their point first, then add what I know. Ask a question only if I'd want the answer.

Illustrative exchange: on your post about shared Slack support channels, someone asks, "Doesn't this burn out the founder?" Your note: two of you rotate weekly and promise replies within one working day.

Example comment: "It would if I answered everything. Two of us rotate weekly and promise replies within one working day, so nobody expects an instant answer."

For 20 before-and-after examples, see how to reply to comments on your LinkedIn post.

Prompt 7: clean up a rough comment

The post: [post]. My rough comment: [draft]. Fix grammar and cut extra words. Keep my point, my wording where it works and anything I said about my experience. Add no new claims.

Illustrative post: "We cut our pricing page down to one plan."

Illustrative rough draft: "one plan is good but what about people who need invoices, ours always ask and its a pain"

Illustrative edited draft: "One plan makes sense. What do you do for buyers who need invoices? Ours always ask, and handling it is a pain."

Prompt 8: check a draft for generic lines

The post: [post]. My comment: [comment]. List every sentence that could fit under a different post and every claim about me you can't confirm from what I wrote. Don't rewrite anything.

Illustrative draft for the pricing post: "Great insight! Clear pricing builds trust and drives growth. We saw the same results with our customers." Every sentence fits any pricing post, and the last claims results nobody described.

Example comment after the check: "Which plan did existing customers land on when you cut the others? That's the part I'd watch."

What to edit before you post the comment

A prompt narrows the draft but can't make it true. Before posting, cut:

• Any experience, number, customer or result you didn't put in the prompt.
• Lines that fit any post, such as "Great insight" or "This resonates".
• A first sentence that restates the post.
• Words you wouldn't say to the author in person.
• Every point but one. Raise the next one if the author replies.

When to write the comment yourself

Skip the prompt when you already know your point. A firsthand detail like the support hire in prompt 2 is quicker to type than to explain. Write it yourself when the post is about a layoff or a loss. If two rounds of edits still miss your meaning, start over in your own words.

ChatGPT prompts vs a Voxily persona in the comment box

With these prompts, you paste the post and your notes into ChatGPT for every comment and copy the result back. Because you write the full instruction each time, prompt 3 or 6 can carry a reason for one comment only. This compares that copy-and-paste workflow, not every ChatGPT feature.

A Voxily persona stores the standing part once: your role, tone, writing style, bio, expertise and a length limit. You can also paste two to five of your own posts. Voxily uses them as writing examples, fills in style notes from them and sends up to two short ones with each request. In a LinkedIn comment box, you click the Voxily button and pick a mood. Voxily drafts from the visible post, the comment you're replying to if any, your persona and up to three saved knowledge entries that match the post. The draft lands in the box for you to edit and post.

On Free, the comment box has no field for a one-off instruction. To steer one comment, type your rough point and let the button fix it. On Pro, Custom Mood takes an instruction of up to 100 characters. A persona doesn't know facts you haven't saved, so the checklist still applies. Free includes 10 reply generations a day and one persona.

If you comment a few times a week and already use ChatGPT, the prompts may be enough. Otherwise, see how Voxily compares with ChatGPT workflows.

Questions about ChatGPT prompts for LinkedIn comments

Do these prompts work in other AI chat tools?

Nothing in them is specific to ChatGPT, so you can paste them into another chat assistant. Check the output the same way.

How long should a LinkedIn comment be?

Long enough for one point, which is why these prompts cap comments at 40 to 60 words. Go longer when the author asked for detail.

Will a prompt make the comment sound like me?

Only partly. Your voice comes from the details you add and the words you change. Adding two or three of your past comments as examples can help.

Try one prompt on a post you already meant to answer.