Proven LinkedIn comment templates for social selling. Real examples, expert tips & conversation starters that build relationships and drive sales.

Social selling on LinkedIn isn't about pitching in DMs—it's about building trust through meaningful conversations. And it all starts with your comments.
After analyzing thousands of successful social selling interactions and testing different approaches with our own network, I've identified the comment strategies that actually work. This guide shares proven templates, real examples, and the psychology behind comments that turn connections into customers.
LinkedIn's algorithm now prioritizes content that generates genuine engagement and meaningful discussions. When you leave thoughtful comments, you're not just being visible—you're demonstrating expertise and building relationships at scale.
The data tells the story:
Posts with 5+ quality comments receive 3x more visibility in feeds
78% of buyers prefer working with salespeople who provide insights before pitching
Thoughtful commenters get 2.4x more profile visits than silent lurkers
But here's the critical part: generic, AI-generated comments get deprioritized or ignored. LinkedIn users (and the algorithm) can spot template-y responses instantly.
Before diving into templates, understand the CARE framework I use for every social selling comment:
C - Contribute Value: Add insight, data, or a fresh perspective
A - Acknowledge Specifically: Reference something specific from the post
R - Relate Authentically: Share relevant experience or observation
E - Extend Conversation: Ask a question or invite further discussion
Now, let's look at templates you can adapt (never copy-paste verbatim).
When to use: On posts about industry trends, challenges, or predictions
Template structure: "[Specific point from post] resonates. I've noticed [your observation/data] in [specific context]. One thing that's also emerging is [additional insight]. Have you seen [relevant question]?"
Real example I used: Original post discussed AI adoption challenges
"The implementation gap you mentioned is huge. In working with 50+ B2B companies this year, I've found the biggest blocker isn't technology—it's change management. Teams struggle when there's no clear ROI timeline. Have you found that internal champions make the difference, or is executive buy-in more critical?"
Why this works:
Shows real experience (worked with 50+ companies)
Adds new angle (change management vs technology)
Asks genuine question to continue dialogue
Demonstrates expertise without being promotional
When to use: When someone shares a problem or asks for advice
Template structure: "I faced something similar [timeframe]. What worked for us: [specific action/approach]. The key was [insight/lesson learned]. [Question about their specific situation]?"
Real example: Post about low engagement on company content
"We struggled with this exact issue last quarter—8% engagement despite 10K followers. What turned it around: we shifted from promotional posts to behind-the-scenes content showing real team challenges. Engagement jumped to 24% in 6 weeks. Are you currently tracking which content types get the most saves vs comments? That data revealed our biggest opportunities."
Why this works:
Specific timeframe and metrics build credibility
Shares actionable solution, not vague advice
Includes the lesson learned (what matters most)
Tailored question shows genuine interest
When to use: When you have a different viewpoint worth sharing
Template structure: "Great points on [topic]. One angle I'd add: [alternative perspective]. From my experience with [specific context], [your findings]. Would love to hear your thoughts on [specific question]."
Real example: Post claiming cold outreach is dead
"Love the passion here. One nuance I'd add: cold outreach isn't dead—bad cold outreach is dead. I've run experiments with 500+ outreach messages this year. Personalized, research-based outreach still gets 18% response rates vs 2% for templated messages. The difference? Taking 3 minutes per prospect instead of 30 seconds. Do you think it's the channel that's broken, or how people use it?"
Why this works:
Respectful disagreement adds depth
Backed by real data from personal testing
Acknowledges effort required (3 minutes vs 30 seconds)
Invites discussion rather than arguing
When to use: When you can genuinely add helpful resources or tools
Template structure: "[Acknowledgment of their point]. If you're exploring this further, [specific resource/tool/approach] helped us [specific result]. [Brief explanation of why it's relevant]. Are you currently using [related question]?"
Real example: Post about improving sales team productivity
"The time-tracking insight is spot on. When we implemented conversation intelligence tools (specifically Gong), our team discovered they spent 40% of calls on non-selling activities. The visual breakdown made it impossible to ignore. We've since restructured our meeting prep process. Are you finding most productivity loss happens in prep, follow-up, or during actual calls?"
Why this works:
Names specific tool (shows real usage)
Quantifiable outcome (40% stat)
Explains the actionable insight gained
Question helps them think through their own situation
When to use: On posts about challenges, failures, or lessons learned
Template structure: "This hits home. [Brief story of your failure/challenge]. What I learned: [specific lesson]. Now I [what you do differently]. How did you [question about their recovery/approach]?"
Real example: Post about losing a major client
"Felt this. Lost a $200K account last year because I assumed the relationship was solid—stopped checking in regularly. The competitor didn't win on price; they won on attention. Now I have calendar reminders for quarterly value check-ins with every key account, even the 'safe' ones. How do you balance staying present without being annoying?"
Why this works:
Real vulnerability builds trust
Specific numbers add credibility
Shows growth and current practice
Question is relatable and invites their wisdom
When to use: When you have relevant data, research, or test results
Template structure: "Adding data to this discussion: [your finding/stat]. We tested [what you tested] across [context/sample size]. [Key insight from data]. Does this match what you're seeing in [their context]?"
Real example: Post about best times to post on LinkedIn
"Adding our data: we analyzed 200+ posts across 15 B2B accounts. Tuesday 7-9 AM EST crushed it—40% higher engagement than afternoon posts. BUT posts about team culture performed better on Fridays (even with lower overall reach). The engagement quality was notably higher. Are you seeing industry-specific patterns, or is timing more universal?"
Why this works:
Specific sample size (200+ posts, 15 accounts)
Nuanced insight (not just "post Tuesday mornings")
Qualitative observation (engagement quality)
Opens discussion about context
Learn more about the best times to comment on LinkedIn for maximum visibility.
When to use: On posts that end with a question
Template structure: "[Answer their question with specific example]. Going deeper: [additional layer/consideration]. In my work with [context], I've found [insight]. What's your experience with [related aspect they didn't mention]?"
Real example: Post asking "What's your best social selling tip?"
"Lead with generosity—share valuable content before asking for anything. But here's the layer most miss: document your generosity. When I started saving screenshots of helpful comments I'd left, DM conversations, and value I'd provided, it became proof for prospects. They could see my approach before our first call. Have you found ways to make your social selling efforts more visible to prospects who are researching you?"
Why this works:
Directly answers their question
Adds unexpected depth (document generosity)
Practical application they can use
Extends conversation in new direction
When to use: When you can apply their insight to a different industry/context
Template structure: "This applies beyond [their industry]. In [your industry/context], we see [parallel example]. The pattern seems to be [insight]. Are you seeing this play out in [specific way]?"
Real example: SaaS post about product-led growth
"This PLG framework applies to services too. In consulting, we've shifted to 'insight-led growth'—giving away our diagnostic frameworks upfront. Prospects use our tools, see the gaps in their strategy, then hire us to implement. Same psychology: let them experience value before the sale. Are you finding that users who experience the product deeply convert at higher rates than those with light usage?"
Why this works:
Shows cross-industry thinking
Specific adaptation example
Identifies the underlying principle
Question tests their understanding of their own data
Don't just leave one comment—engage in the thread. When someone replies to your comment:
Follow-up template: "[Acknowledge their point]. That's fascinating. [Related insight or question]. I'd love to learn more about [specific aspect]."
Example: Them: "We tried that but struggled with buy-in"
You: "The buy-in challenge is real. I've found success when we start with one team as a pilot—lower risk, faster wins to showcase. The data from that pilot becomes your internal case study. Did you try a phased rollout, or go company-wide from the start?"
If you're wondering how to convert LinkedIn replies into client meetings, mastering the follow-up conversation is essential.
❌ The Generic Praise: "Great post!" / "Thanks for sharing!" / "💯" These add zero value and signal you didn't actually read it
❌ The Self-Promotion: "We can help with this! Check out our solution..." Comments aren't billboard space
❌ The AI-Obviously: "This is truly insightful and thought-provoking. Your perspective on [topic] demonstrates deep understanding..." Overly formal, generic phrasing screams AI-generated
❌ The Dissertation: 500-word comments that hijack the post Add value, don't overshadow the original poster
❌ The Argument Starter: "This is completely wrong because..." Disagreement is fine; disrespect isn't
For more guidance, check out our complete guide to LinkedIn comment etiquette.
Here's my daily routine that's generated 30+ qualified leads per quarter:
Morning (15 minutes):
Check notifications for posts from my ideal customer profile (ICP)
Leave 3-5 thoughtful comments using the templates above
Focus on posts with <50 comments (better visibility)
Midday (10 minutes):
Reply to anyone who engaged with my comments
Find 2-3 trending posts in my industry and add value
Weekly:
Review which comments got the most engagement
Adjust my approach based on what resonates
Connect with people who engaged thoughtfully with my comments
The key: I never comment on posts from people I'm actively trying to sell to. I comment where my ICP hangs out, which builds credibility when they eventually find me.
Wondering how often you should comment on LinkedIn posts? My system balances consistency with quality.
Track these metrics monthly:
Profile views: Should increase 20-30% with consistent commenting
Connection requests received: Quality indicator of your visibility
DM conversations started: Direct result of comment visibility
Content engagement: Your own posts should grow as you engage more
Sales conversations: Track how many deals started with a comment interaction
Use a simple spreadsheet to note: Post URL, Your Comment, Engagement Received, Conversations Started.
If you're struggling with low engagement, read our guide on what to do when your LinkedIn comments get no engagement.
Before posting any comment:
✅ Did I reference something specific from their post?
✅ Does this add new value or just repeat what they said?
✅ Would I want to receive this comment?
✅ Does this sound like me, not a robot?
✅ Am I asking a genuine question I'd like answered?
Struggling with LinkedIn comment writer's block? These prompts can help you get unstuck.
Social selling success requires demonstrating expertise and trustworthiness over time, not quick wins. Your comment history becomes your reputation.
When someone visits your profile, they can see months of valuable contributions. That's more powerful than any pitch.
One of my clients landed a $500K deal because a prospect had been silently following his comments for six months. When they were ready to buy, he was the only call they made.
For consultants looking to build authority, here's how LinkedIn comments help establish your expertise.
If you're managing multiple accounts or want to increase your commenting volume without sacrificing quality, consider using tools strategically. Understanding when to use manual vs AI-generated LinkedIn comments can help you scale efficiently.
AI comment automation tools can help with initial drafts, but always personalize before posting. The AiReplyBee Chrome extension generates context-aware comment suggestions that you can customize with your own insights and data.
Want to compare your options? Check our comprehensive LinkedIn comment tools comparison guide.
Choose 3 templates that feel most natural to your style
Find 5 posts from your ICP or industry leaders today
Leave thoughtful comments using the CARE framework
Set a daily reminder for 15-minute comment sessions
Track your results weekly for 30 days
Remember: Social selling through comments isn't about volume—it's about value. Five meaningful comments per week beat 50 generic ones every time.
Need more inspiration? Browse our collection of LinkedIn comment examples for tech professionals or see how sales teams use comments for prospecting.
What's been your experience with LinkedIn comments? I'd love to hear which approaches have worked (or flopped) for you in the comments below.
AIReplyBee is your AI-powered LinkedIn reply generator that helps you create authentic, engaging responses in seconds.
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