How to Write LinkedIn Comments That Get You Noticed (50+ Examples)

Most LinkedIn comments are invisible.

Not because people aren't commenting — the platform has more engagement than ever. But because 80% of comments are noise: "Great post!", "So true!", "Congrats!", "This resonates!" These comments don't add anything. They don't get remembered. They don't build your brand.

The 20% of comments that actually drive profile visits, follower growth, and professional opportunities share one quality: they add something the original post didn't have.

This guide gives you the frameworks, examples, and mindset to write LinkedIn comments in that 20%.

The Core Principle: Add Value to the Thread

Before typing anything, ask: Does my comment make this thread better?

If the answer is "not really," don't comment. A non-comment is better than a forgettable one.

Comments that make threads better:

Add a specific data point or example
Extend the idea in a new direction
Challenge a premise respectfully
Share a directly relevant personal experience
Ask a question that deepens the discussion

Comments that don't:

Restate what the author just said
Offer generic affirmation
Add a vague anecdote without a point
Promote your product or service

The 5 Comment Frameworks (With Examples)

These five frameworks cover 90% of high-performing comment situations on LinkedIn. Use whichever fits the post.

Framework 1: The Extension

Add a layer of insight the post didn't cover. You're building on the author's foundation, not competing with it.

Structure: [Affirm the core point] + [Add the missing layer] + [Concrete example or data]

Examples:

On a post about the importance of follow-up in sales:

"This is underrated, and the data backs it up — 80% of sales happen after the 5th touch, but most reps give up after 1–2. The nuance I'd add: timing matters as much as persistence. Following up 3 days apart in the first week, then weekly, dramatically outperforms daily follow-up which starts feeling like pressure."

On a post about remote work productivity:

"Great framework. One addition that's worked in distributed teams I've been on: establishing 'deep work hours' as a team norm, not just an individual habit. When everyone knows 9–11 AM is heads-down time, interruptions drop by default and the whole team benefits."

On a post about building a personal brand:

"All true. The part most people underestimate: consistency of topic matters more than consistency of frequency. Posting every day about different things trains the algorithm to not know who to show you to. 3x a week on the same 2–3 themes compounds much faster."

Framework 2: The Counterpoint

Politely disagree with a premise or generalization. This is the highest-risk, highest-reward comment type.

Structure: [Acknowledge what's true] + [Name the premise you're pushing back on] + [Your alternative view with reasoning]

Examples:

On a post claiming "engagement pods are dead":

"Mostly agree, but I'd push back on the binary here. Automated pods are dead — LinkedIn detects them. But genuine accountability groups (5–10 people you actually know, manually engaging with each other's best content) still work. The key is real relationships, not random groups."

On a post saying "you need 10k followers before LinkedIn pays off":

"I've seen this belief slow down a lot of good creators. The network that matters is quality, not size. I drove $60k in consulting revenue from LinkedIn last year with under 2k followers. The right 500 people in your network is worth more than the wrong 50,000."

On a post advocating always-on social selling:

"Counterpoint: the always-on approach burns people out, which kills consistency, which kills results. I know reps who do 3 focused hours on LinkedIn per week and outperform colleagues who are online constantly. Intensity beats duration."

Framework 3: The Personal Story

Connect the post's insight to a specific experience. Stories are remembered when frameworks aren't.

Structure: [Connect to the post's theme] + [Specific story with context] + [What you learned/concluded]

Examples:

On a post about facing rejection in entrepreneurship:

"This hit home. We got turned down by 11 investors before our 12th pitch — same deck, same team, same traction. The 12th said yes and led the round. At investor #4, I was convinced we were done. Looking back: every 'no' taught us exactly one specific thing to fix. We just had to stay in the game long enough to apply the lessons."

On a post about work-life balance in startups:

"I burned out at a startup in 2022 — classic early-stage overwork story. The thing nobody told me: burnout doesn't feel like exhaustion at first. It feels like apathy. You stop caring about things you used to love. By the time you recognize it, you've already been operating at 60% for months. Now I track energy, not hours."

On a post about the value of mentorship:

"My career had two phases: before I had a good mentor and after. The before phase involved a lot of 'learning the hard way.' The after phase still had hard lessons, but I had a framework for processing them faster and a person to call when I was stuck. The ROI on good mentorship is impossible to calculate."

Framework 4: The Specific Question

Ask a question that shows you understood the post and genuinely want to know more. This almost always gets a reply.

Structure: [Reference a specific point from the post] + [Your genuine question] + [Why you're asking/what you're working on]

Examples:

On a post about cold email strategy:

"Curious about the subject line approach you mentioned — are you personalizing at the company level (industry news, funding rounds) or at the individual level (their recent posts, LinkedIn activity)? I've been testing both and finding different things working in different verticals."

On a post about hiring for culture fit vs. skill:

"Interested in how you handle the edge case here: what do you do when someone is a strong culture fit but clearly undershooting on skill, versus someone who's technically excellent but you're less sure about culture? Where's the tiebreaker for you?"

On a post about AI tools in marketing:

"Which part of your workflow has AI made the biggest dent in — ideation, drafting, or editing? My experience is that ideation is still very human, but the first-draft stage has changed dramatically. Curious if that's universal or varies by role."

Framework 5: The Resource Bridge

Add a specific resource (article, study, framework, example) that genuinely extends the topic. Not self-promotion — an actual helpful link or reference.

Structure: [Affirm or extend the point] + [Mention the resource + why it's relevant]

Examples:

On a post about LinkedIn content strategy:

"For anyone wanting to go deeper on this, Richard van der Blom's annual LinkedIn algorithm research is the best data I've found on what actually drives reach. His 2025 report had some surprising findings on dwell time's weight in the algorithm."

On a post about negotiation tactics:

"The BATNA framing really resonates. 'Never Split the Difference' by Chris Voss goes deep on the psychological underpinnings of this — specifically how labeling the other party's emotions before you name your ask changes the dynamic. Highly applicable beyond salary negotiation."

On a post about delegation:

"Lencioni's 'Five Dysfunctions of a Team' touches on this — specifically how distrust (not incompetence) is usually the reason leaders don't delegate. Worth reading if you're working on building a team where real delegation is possible."

25 More Comment Examples by Industry

Sales & Revenue

On a post about objection handling: "The objection that trips most reps: 'We already have a vendor for this.' What's worked for me is asking 'And how's that going?' It surfaces pain without sounding like a pitch."
On a post about pipeline hygiene: "The only number I care about more than pipeline size is pipeline age. Deals that have been sitting for 90 days without a next step are almost never going to close."
On a post about discovery calls: "One shift that changed my discovery calls: I stopped trying to qualify and started trying to understand. The qualification happens naturally; the understanding builds trust that closes deals."
On a post about social selling metrics: "Engagement rate by itself is a vanity metric for sales. The metric that correlates with revenue: profile visits from target accounts. That's the leading indicator I watch."
On a post about LinkedIn for sales: "The reps I've seen crush it on LinkedIn do one thing differently: they post content their prospects wrote the questions for. Start with the questions your customers ask on discovery calls."

Marketing & Content

On a post about content strategy: "The B2B content mistake I see most: optimizing for SEO traffic instead of sales conversations. A blog post that gets 50 visits from your ICP is worth more than one that gets 5,000 from students."
On a post about email marketing: "Open rate is a broken metric since iOS 15. I've shifted to tracking click-to-open rate and replies as the primary engagement signals. Both are much harder to inflate."
On a post about brand building: "Most brand building advice focuses on output. What doesn't get enough attention: consistency of voice. You can change your topics, change your format, change your frequency — but your voice needs to be immediately recognizable in every piece."
On a post about short-form content: "Interesting to me that 'short-form' is getting redefined constantly. A LinkedIn post that's 800 words with good formatting performs better than a 200-word one without it. Length isn't the point — density of value is."
On a post about repurposing content: "The waterfall approach works well for this: long-form first (newsletter, blog), then carve out the key insight as a LinkedIn post, then pull one quote for a visual. One piece of thinking → three distribution moments."

Leadership & Management

On a post about feedback culture: "The underrated part of psychological safety: it's not built in team meetings, it's built in 1:1s. What you do with critical feedback from one person determines whether everyone else feels safe giving it."
On a post about remote leadership: "Presence bias is real and it kills remote cultures. The best remote leaders I've worked with over-index on async communication and deliberately separate 'being online' from 'being productive.'"
On a post about managing high performers: "High performers usually need less direction and more context. They don't want to know what to do — they want to know why it matters and what success looks like. Then get out of their way."
On a post about burnout in leadership: "The burnout I've seen in leaders is usually about decision fatigue, not hours. Building systems that reduce the number of decisions a leader needs to make each week is as important as any wellness initiative."
On a post about hiring mistakes: "The hiring mistake I see most: optimizing for skills over judgment. Skills can be learned; judgment is nearly impossible to teach. The interview question I've relied on: 'Tell me about a time you were wrong about something important. How did you figure it out?'"

HR & Talent

On a post about employer branding: "Employer brand is not what your careers page says. It's what your current employees tell their friends when they're complaining about their week. Fix the experience before you invest in the marketing."
On a post about candidate experience: "The rejection experience is part of your employer brand. Candidates who got rejected but treated with respect have sent referrals to our company. Candidates who had a bad experience have posted about it."
On a post about DEI metrics: "Representation metrics are outputs. The inputs are what actually change them: where you're sourcing, how you're screening, and who's involved in final decisions. Measure the inputs first."
On a post about remote hiring: "The best remote hire question I've found: 'Walk me through how you managed a project without anyone checking in on you.' The answer tells you everything about self-direction."
On a post about retention: "Retention conversations need to happen before people are on their way out. Most managers only have them when they've already gotten a counter-offer. By then you're in a defensive position with low probability of success."

Entrepreneurship & Startups

On a post about product-market fit: "The PMF signal I trust most: do customers recommend you before they've even fully used the product? Organic referral before you've asked for it is the strongest leading indicator."
On a post about raising funding: "The best fundraising advice I received: raise when you don't need to. The worst time to raise is when the runway is short and the urgency is visible. Investors can smell desperation."
On a post about early-stage mistakes: "The mistake I made: hiring to eliminate discomfort (things I didn't like doing) instead of hiring to amplify leverage (things that drive the most growth). Completely different outcomes."
On a post about scaling: "The thing that breaks at scale is usually not the product — it's the communication. What worked when you were 5 people breaks at 20, breaks again at 50. Revisiting your communication infrastructure at every doubling is non-negotiable."
On a post about pivoting: "Pivots are overrated as a concept and underrated as a skill. The founders who pivot well are usually ones who were collecting data the whole time. The pivot isn't a guess — it's a response to what the data already said."

The One Comment to Never Write

Before you post any comment, run it through this test: Would I say this to someone at a professional conference?

"Great post!" fails this test immediately. You wouldn't walk up to a speaker after their talk and say "Great talk!" with nothing else. You'd reference a specific point. You'd ask a question. You'd share how it connects to something you're working on.

LinkedIn is a professional conference happening 24/7. Treat it that way.

Scaling Your Commenting Without Losing Quality

The mathematics of commenting are clear: 15–20 quality comments per day drives meaningful LinkedIn growth. But writing 15–20 thoughtful comments manually takes 45–60 minutes.

Most people solve this by writing fewer comments (not enough volume for growth) or lower-quality comments (noise, not signal).

The third option is AI assistance — specifically, using tools that generate contextually relevant comment drafts you can review and refine. This is exactly what Gromming is built for.

Gromming reads a LinkedIn post, applies your chosen persona (analyst, motivator, tactical questioner, etc.), and generates a relevant, specific comment you can edit or post directly. In practice, this compresses 60 minutes of manual commenting to 15–20 minutes of reviewing and refining.

The key caveat: AI comments should be a starting point, not a finished product. Add your personal experience, your specific numbers, your unique take. The framework above still applies — AI just handles the blank-page problem.

For more on this, see Are AI LinkedIn Comments Safe? How to Stay Authentic.

Key Takeaways

Every comment should add something the post didn't have
Use these 5 frameworks: Extension, Counterpoint, Personal Story, Specific Question, Resource Bridge
Target rising posts from relevant people in your niche for maximum visibility
Never write "Great post!" or its equivalents — they're invisible at best, brand-damaging at worst
Aim for 10–20 quality comments per day to see meaningful growth
AI tools can help with volume; your judgment makes them valuable