LinkedIn

Verified against Claude · 2026-07-26

Draft comments on other people's posts that actually earn you visibility

Generate substantive, specific comment drafts across three genuinely different moves — extend, question, resource — built to earn a reply and chain into further visibility, instead of a "Great post!" that gets buried and signals nothing.

ChatGPTClaudeGemini5 fillable variables

The prompt

Ready to copy — highlighted parts are example details you can swap.

TARGET POST
A founder posted that they stopped doing quarterly OKRs because the team spent more time reporting on goals than working toward them.

YOUR RELEVANT EXPERTISE OR ANGLE
I've run OKRs at two companies — worked at 15 people, broke down completely at 80

RELATIONSHIP TO THE POSTER
Don't know them personally, found the post via a mutual connection

WHAT YOU WANT THIS COMMENT TO DO FOR YOU
Get noticed by other operations leaders who might see this thread

HOW MANY DRAFTS TO GENERATE
3

WHY A GENERIC COMMENT SIGNALS NOTHING
LinkedIn's ranking treats a comment as a stronger relevance signal than a like, and an active commenter's profile can surface to the original poster's own network and mutual connections — but only when the comment itself earns further engagement, such as a reply or reactions on the comment specifically. A comment that just restates or praises the post produces no downstream signal and gets buried under every other identical one under the same post.

DRAFT 3 DISTINCT COMMENTS, EACH A GENUINELY DIFFERENT MOVE
1. EXTEND — add a concrete example, data point, or counterpoint from I've run OKRs at two companies — worked at 15 people, broke down completely at 80 that builds on the post's actual argument, not a restatement of what it already said in different words.
2. QUESTION — ask a specific follow-up question a thoughtful reader would actually want answered, one that shows you engaged with the argument's substance, not just its topic.
3. RESOURCE OR DISTINCTION — offer one specific framework, resource, or distinction the post didn't cover, adding something genuinely new to the thread rather than agreeing more elaborately.
If 3 calls for more than three, generate additional distinct moves beyond these three rather than producing near-duplicates of one of them.

LENGTH AND SELF-PROMOTION DISCIPLINE
Keep each comment under 400 characters so it doesn't visually read as a wall of text competing with the post itself. None of the drafts may contain "Great post," "So true," "Love this," or a close variant with no added content attached. Each comment should read as more about the post's idea than about you — if a draft is functionally self-promotion wearing a comment's shape, rewrite it before including it rather than including it and flagging it afterward.

RELATIONSHIP CALIBRATION
Adjust tone and directness based on Don't know them personally, found the post via a mutual connection — a comment on a stranger's post earning cold visibility should establish relevant credibility briefly and naturally within the substance of the comment itself, not through a separate self-introduction sentence; a comment on someone you know can skip that entirely and get straight to the point.

OUTPUT
The requested number of comment drafts, each labeled by which move it is, each with its character count, plus one line on which draft you'd post first given Get noticed by other operations leaders who might see this thread and why the others are secondary rather than simultaneous options.

Customize

Optional — swap in your own details for the highlighted parts above.

Why this works

LinkedIn's engagement ranking explicitly weights comments above likes as a relevance signal, and a commenter's own profile becomes visible to the poster's network specifically through the comment thread — but this visibility mechanism only activates when the comment itself draws further engagement, meaning a bare affirmation that gets zero replies produces functionally no downstream reach even though it technically counts as "engaging" on the post. The three required move-types — extend, question, resource — are calibrated to be the three shapes of comment most likely to earn a reply from either the original poster or another reader, because each one leaves something specific for someone else to respond to: a counterpoint to react to, a question to actually answer, a resource to acknowledge. A pure affirmation gives the reader nothing to do except like it and move on, which is the actual mechanical reason affirmation comments don't chain into further visibility. The instruction to reject any draft that's self-promotion wearing a comment's shape targets the second most common failure mode, one step subtler than a bare "great post." A comment that name-drops your own company or credentials while nominally responding to the post is recognized by both the poster and other readers as a pitch, and readers who recognize a comment as self-promotional are measurably less likely to engage with it — which defeats the entire visibility mechanism this strategy depends on, even though the comment technically added content. Calibrating tone to {{relationship_to_poster}} matters because a comment establishing credibility explicitly ("As someone who's run this at two companies...") reads as necessary context on a cold post where nobody knows you, but reads as an odd, unnecessary flex on a post from someone who already knows exactly who you are — the same sentence performs differently depending on what the reader already knows about the commenter's relationship to the poster.

Verified against

Claude Sonnet 5 · 2026-07-26

ChatGPT GPT-5.1 · 2026-07-27

Changelog

  • 2026-07-27 Initial publish for the rewritten linkedin category, verified against Claude (Sonnet 5) and ChatGPT (GPT-5.1).

Need this built into your business?

If a prompt isn't enough — Google Ads management, built and maintained for you — that's Scult's day job.

EXPLORE GOOGLE ADS MANAGEMENT
Write a first line that survives LinkedIn's "see more" cutoffGenerate six hook-line options for a LinkedIn post, each built on a different mechanism and tested against the actual character count where LinkedIn truncates a post, so every option reads as a complete thought before the cutoff rather than a fragment that only resolves after the tap.ChatGPTClaude2026-07-20Turn a work memory into a story-driven LinkedIn post with a real lessonStructure a raw, unpolished work anecdote into a hook-setup-turn-lesson post using LinkedIn's actual short-line, high-white-space format, while explicitly protecting the unflattering or uncertain detail that makes the story read as lived rather than as a templated failure-to-growth arc.ClaudeChatGPT2026-07-22Outline a swipeable LinkedIn carousel from a single ideaTurn one idea into a slide-by-slide outline for LinkedIn's native document-upload carousel format, built around exactly one point per slide and a design note per slide, so it reads as a designed sequence instead of a wall of bullet points split across pages.ClaudeChatGPT2026-07-23Rewrite your LinkedIn About section so it reads as a person, not a resumeTurn disjointed notes or a resume-voice draft into a first-person About section that opens strong before LinkedIn's preview cutoff and reads like it was written by the person, not extracted from a CV, with keywords worked into real sentences instead of bolted onto the end.ClaudeChatGPT2026-07-24
All LinkedIn prompts

Check your AI visibility

One URL in, a 0–100 score and the exact fixes out.

RUN THE CHECK

Browse all the tools

15 tools across six categories
13 of them never send your data anywhere

Free · No signup · No trial clock

SEE THE DIRECTORY