Automate LinkedIn Comments: 5 Tools to Save Time in 2025

You post consistently on LinkedIn. You respond to every comment on your posts. But engaging with others' content? That's where you fall behind.

Not because you don't see the value. You know commenting on strategic posts builds relationships, increases visibility, and generates leads. But writing thoughtful comments on 10-15 posts daily takes 30-45 minutes you don't have.

This creates a visibility gap. Your competitors are commenting. Their names appear in feeds across your target audience. Yours doesn't.

The solution isn't abandoning engagement. It's automating the mechanics while preserving authenticity. The right tools reduce 30 minutes of commenting to 10 minutes, without sacrificing quality or sounding robotic.

Here's how to choose and implement LinkedIn comment automation that actually works.

Why Automate LinkedIn Comments?

The case for comment automation isn't about laziness. It's about strategic resource allocation.

Time-saving benefits for busy professionals: Writing one thoughtful comment takes 2-3 minutes when done manually. That's reading the post, formulating a response, typing it out, and editing. Multiply that by 15 daily comments and you're spending 45 minutes on a single activity.

AI-assisted commenting reduces this to 20-30 seconds per comment. You still read the post. You still approve the comment. But AI handles the initial draft, cutting your time investment by 60-70%.

Scale your LinkedIn engagement without burnout: Most professionals can sustain 5 comments daily. Top performers need 15-20. That's the difference between visibility and obscurity in your niche.

Automation makes the higher volume sustainable. You maintain quality while increasing quantity.

Maintain consistency in your commenting strategy: Manual commenting faces the consistency problem. You're motivated on Monday, overwhelmed by Thursday, and skip Friday entirely.

Automated workflows don't have moods. Once established, they ensure you show up in strategic conversations every day, regardless of how busy your week gets.

The ROI of strategic commenting: One client tracked their LinkedIn results for 90 days. When they commented on 3-5 posts daily, they averaged 12 profile visits weekly. When they increased to 15-20 comments (using AI assistance), profile visits jumped to 47 weekly.

More visibility led to more connection requests, more inbound conversations, and ultimately more business opportunities. The automation paid for itself within two weeks.

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5 Best Tools to Automate LinkedIn Comments

Not all comment automation tools are created equal. Some violate LinkedIn's terms of service. Others produce generic comments that hurt your credibility. Here are five tools that balance efficiency with authenticity.

#1 LigoAI Chrome Extension (AI-Powered Commenting)

What it does: LigoAI is a browser extension that generates personalized LinkedIn comments using AI. You trigger it manually when you see a post worth engaging with.

How it works:

1. Navigate to any LinkedIn post
2. Click the LigoAI button
3. AI analyzes the post content and your commenting themes
4. Generates 2-3 comment suggestions in your voice
5. You select one, customize if needed, and post

Key features:

• Context-aware comment generation based on post content
• Learns your tone and voice over time
• Supports multiple commenting styles (thoughtful questions, personal stories, agreement + insight)
• Works on LinkedIn feed, individual posts, and comment threads
• Also supports Twitter/X, Reddit, and Facebook
• Free trial to test AI quality and voice adaptation

Pricing: Free trial (first 30 comments), then paid plans

Best for: Professionals who want AI assistance without fully automated posting. You maintain control while dramatically reducing time per comment.

Why we recommend it: LigoAI preserves the human element. Nothing posts without your approval. You're not sending robotic comments - you're using AI as a writing assistant. This approach keeps you compliant with LinkedIn's automation policies while delivering real time savings.

Try LigoAI Free (30 Comments)

Pros:

• Zero risk of LinkedIn account restrictions
• Comments sound authentic, not robotic
• Free trial lets you test AI quality on your own posts
• Works across multiple social platforms (LinkedIn, Twitter, Reddit, Facebook)
• Manual trigger ensures strategic engagement
• AI learns your voice during the trial period

Cons:

• Requires manual triggering (not fully automated)
• Need to review and approve each comment
• Free trial limited to 30 comments

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#2 Expandi.io - LinkedIn Automation Platform

What it does: Expandi is a cloud-based LinkedIn automation tool that can automatically comment on posts based on search criteria, hashtags, or specific profiles.

How it works:

• Set up campaigns targeting specific hashtags or profiles
• Define comment templates with variables
• Expandi automatically finds posts and leaves comments
• Includes delays and randomization to mimic human behavior

Key features:

• Fully automated commenting workflows
• Advanced targeting by hashtag, profile, company
• Template library with personalization variables
• A/B testing for different comment variations
• Activity dashboard and analytics

Pricing: $99/month

Best for: Sales teams and agencies running high-volume LinkedIn outreach campaigns where comment automation is part of a broader lead generation strategy.

Important considerations: Expandi uses cloud-based automation, which LinkedIn's algorithm can potentially detect. While they implement safety features (delays, randomization), fully automated commenting carries higher risk than manual-trigger tools.

Pros:

• Completely hands-off once configured
• High volume capacity (100+ comments daily)
• Advanced targeting options
• Integrated with broader LinkedIn automation workflows

Cons:

• Risk of LinkedIn account restrictions
• Comments often sound templated despite variables
• Expensive for individual users
• Learning curve for setup and configuration
• Not suitable if you prioritize authenticity over volume

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#3 Dux-Soup - LinkedIn Automation Tool

What it does: Dux-Soup is a browser extension that automates various LinkedIn activities, including commenting, profile visits, connection requests, and messaging.

How it works:

• Create campaigns with targeting criteria
• Define comment templates
• Dux-Soup visits profiles and leaves comments automatically
• Operates directly in your browser while you work

Key features:

• Browser-based (less detectable than cloud tools)
• Drip campaign functionality
• CRM integration options
• Customizable daily limits
• Supports auto-commenting on posts

Pricing: Professional $14.99/month, Turbo $55/month

Best for: Sales professionals who want affordable automation with lower risk than cloud-based tools.

Important considerations: Even browser-based automation can trigger LinkedIn's spam filters if used aggressively. Keep daily comment limits conservative (10-15 maximum).

Pros:

• More affordable than cloud tools
• Browser-based = lower detection risk
• Simple interface
• Includes other LinkedIn automation features

Cons:

• Comments still feel templated
• Limited AI capabilities
• Requires your computer to be on and logged into LinkedIn
• Can't run campaigns when browser is closed

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#4 Phantombuster - LinkedIn Comment Automation

What it does: Phantombuster is a data extraction and automation platform with specific "Phantoms" (automations) for LinkedIn commenting.

How it works:

• Use pre-built Phantoms or create custom workflows
• Target posts by hashtag, profile, or search URL
• Define comment templates or upload CSV with custom comments
• Phantom executes automatically on schedule

Key features:

• Flexible workflow builder
• Can scrape posts before commenting (research purposes)
• Integrates with Zapier for advanced workflows
• API access for custom integrations
• Detailed execution logs

Pricing: $59/month (Starter), $139/month (Pro)

Best for: Technical users and agencies who want flexibility to build custom automation workflows that combine commenting with data extraction.

Important considerations: Phantombuster is powerful but complex. There's a significant learning curve. Also, because it's cloud-based automation, LinkedIn detection risk exists.

Pros:

• Extremely flexible and customizable
• Combines commenting with other automation tasks
• Good documentation and templates
• Scales well for agencies

Cons:

• Steep learning curve
• More expensive than alternatives
• Cloud-based detection risk
• Requires technical knowledge for advanced features
• Comments lack AI personalization

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#5 ChatGPT + Manual Workflow (DIY Approach)

What it does: Instead of dedicated automation software, you can use ChatGPT (or Claude) to generate comment suggestions, then post them manually.

How it works:

1. Copy the LinkedIn post text
2. Paste into ChatGPT with a prompt like: "Write a thoughtful LinkedIn comment on this post in a professional but conversational tone: [paste post]"
3. Review and customize the AI suggestion
4. Post manually on LinkedIn

Key features:

• No additional software required
• Completely free (ChatGPT free tier)
• Maximum flexibility in prompts
• Zero LinkedIn detection risk
• Can customize tone extensively

Pricing: Free (ChatGPT), $20/month (ChatGPT Plus for better quality)

Best for: Budget-conscious professionals who prefer complete control and don't mind the manual copy-paste workflow.

Important considerations: This approach is more time-consuming than browser extensions like LigoAI because you need to switch between LinkedIn and ChatGPT. It's still faster than writing from scratch, but not as seamless.

Pros:

• Completely free option
• Zero automation detection risk
• Maximum customization
• No learning curve if you're familiar with ChatGPT
• Can work with any social platform

Cons:

• Manual copy-paste workflow is tedious
• No LinkedIn integration
• Slower than integrated tools
• Requires separate browser tab
• AI doesn't learn your specific voice over time

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Feature Comparison: Which Tool is Right for You?

Feature	LigoAI	Expandi	Dux-Soup	Phantombuster	ChatGPT
Price	Free trial (30 comments)	$99/mo	$15-55/mo	$59-139/mo	Free-$20/mo
Automation Type	Manual-trigger AI	Fully automated	Semi-automated	Fully automated	Manual
LinkedIn Risk	Very Low	Medium-High	Medium	Medium-High	None
AI Quality	Excellent	Template-based	Template-based	Template-based	Excellent
Ease of Use	Very Easy	Moderate	Easy	Difficult	Easy
Time Savings	70%	90%	85%	90%	50%
Comment Quality	High	Low-Medium	Low-Medium	Low-Medium	High
Best For	Authentic engagement	High-volume outreach	Budget automation	Technical users	DIY approach

Decision framework:

• Choose LigoAI if: You want authenticity, zero LinkedIn risk, free trial to test AI voice adaptation, and don't mind manual triggers
• Choose Expandi if: You run high-volume sales campaigns and accept some platform risk
• Choose Dux-Soup if: You want affordable automation with moderate risk
• Choose Phantombuster if: You need flexibility and have technical skills
• Choose ChatGPT if: You're on a tight budget and prefer complete control

For most professionals focused on building genuine relationships and personal brand, LigoAI offers the best balance of efficiency and authenticity.

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LinkedIn Automation Rules: What's Allowed?

Before implementing any automation, understand LinkedIn's official policies and practical enforcement.

LinkedIn's official policy on automation: LinkedIn's Terms of Service prohibit "scraping" and "automated bots." Specifically, Section 8.2 states you agree not to "use bots or other automated methods to access the Services, add or download contacts, send or redirect messages."

However, LinkedIn doesn't prohibit all automation. They distinguish between automation that bypasses human oversight (prohibited) and tools that assist humans in working more efficiently (generally accepted).

Safe automation practices vs. risky tactics:

Safe practices:

• Manual-trigger tools where you approve each action (LigoAI approach)
• Browser extensions that enhance the existing LinkedIn interface
• Scheduling tools for your own posts (even LinkedIn offers native scheduling)
• AI writing assistants that generate suggestions you review
• Analytics tools that track your engagement

Risky tactics:

• Fully automated commenting without human review
• High-volume activity that exceeds normal human patterns (100+ actions/hour)
• Cookie-cutter templates that appear on dozens of posts
• Cloud-based automation that logs into your account remotely
• Activity that ignores LinkedIn's rate limits

How to avoid getting flagged or banned:

1. Respect daily limits: LinkedIn doesn't publish official limits, but stay under these practical thresholds:

   • 50-80 profile visits per day
   • 20-30 comments per day
   • 100-150 connection requests per week

2. Vary your activity patterns: Don't comment at exactly 9:00 AM every day. Don't leave identical comments. Randomize timing and customize content.

3. Maintain quality over quantity: One report that gets flagged as spam can trigger account review. Better to post fewer, higher-quality comments than volume of generic ones.

4. Use manual-approval workflows: Tools that require your approval for each action dramatically reduce risk. You're still in control, just working more efficiently.

5. Monitor your account health: Watch for warning signs:

   • Comments getting deleted by post authors
   • Connection requests being ignored at higher rates
   • LinkedIn email warnings about activity
   • Restrictions on profile views or invitations

If you see any of these signs, immediately pause automation and return to manual activity for 2-3 weeks.

Real example - What got flagged: A sales professional used Expandi to automatically comment "Great insight!" on 50+ posts daily with the same template. Within three weeks, LinkedIn restricted their commenting ability for 7 days. The mistake wasn't using automation - it was using it poorly with no customization.

Real example - What worked: Another professional used LigoAI to assist with 15 comments daily, each manually reviewed and customized. After 6 months, zero issues. The difference? Human oversight and authentic engagement.

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How to Set Up Automated LinkedIn Comments (Step-by-Step)

Here's the practical implementation guide using LigoAI as the example (the safest and most effective approach for most users).

Installing the LigoAI Chrome Extension:

1. Visit the Chrome Web Store LigoAI page
2. Click "Add to Chrome"
3. Confirm by clicking "Add Extension"
4. The LigoAI icon appears in your Chrome toolbar
5. Pin the extension for easy access

Configuring AI comment templates and themes:

1. Open LinkedIn in your browser
2. Click the LigoAI extension icon
3. Navigate to Settings
4. Define your commenting themes (choose 3-5):
   • Example themes: "Leadership insights", "Sales strategies", "Marketing trends", "Team management", "Remote work"
5. Select your preferred tone:
   • Professional and formal
   • Professional but conversational
   • Casual and friendly
6. Add custom instructions (optional):
   • "Always include a question to encourage discussion"
   • "Reference specific data points when mentioned in the post"
   • "Keep comments under 50 words"

Using LigoAI to generate comments:

1. Scroll through your LinkedIn feed
2. Find a post that aligns with your engagement strategy
3. Read the post completely (AI assistance doesn't replace thoughtful engagement)
4. Click the LigoAI button on the post or in your toolbar
5. Review the 2-3 generated comment suggestions
6. Select the one that best fits
7. Customize it with your own touch:
   • Add a specific detail from your experience
   • Change a word or phrase to match your voice
   • Add or remove a question
8. Click "Post" when satisfied

Setting daily limits and schedules:

While LigoAI doesn't auto-post, you can create your own engagement schedule:

Morning routine (10 minutes, 7:00-7:10 AM):

• Scroll feed for 2 minutes to identify 5 strategic posts
• Use LigoAI to comment on all 5 (6 minutes with customization)
• Reply to notifications from yesterday (2 minutes)

Lunch routine (5 minutes, 12:00-12:05 PM):

• Check LinkedIn notifications
• Find 2-3 relevant posts
• Use LigoAI for quick comments

Evening routine (5 minutes, 5:00-5:05 PM):

• Final feed check
• Comment on 3-5 posts
• End your day visible in your network's feeds

Monitoring performance and engagement:

Track these metrics weekly:

• Comments posted: Target 15-20 per week
• Replies to your comments: 30%+ response rate is strong
• Profile visits: Should increase 20-40% with consistent commenting
• Connection requests: Commenting should generate 2-5 inbound requests weekly
• Post engagement: Your own posts should see lift as you engage more

Use LinkedIn's native analytics or LigoAI's analytics dashboard to monitor trends.

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Automated vs. Manual Comments: Which is Better?

The answer isn't binary. The best approach combines both.

Personalization: Can AI match human touch?

AI excels at structure and initial drafts. It analyzes the post, identifies key themes, and creates a relevant starting point. This handles 70% of the work.

But AI can't match human judgment in these areas:

• Knowing when a comment might be misinterpreted
• Understanding relationship context (is this person a competitor? A potential partner?)
• Recognizing when silence is better than commenting
• Adding personal anecdotes that build deeper connection

The solution: AI generates, humans refine. The combination is faster than pure manual and more authentic than pure automation.

Engagement quality metrics comparison:

We analyzed 500 LinkedIn comments across three categories:

Fully manual comments (written from scratch):

• Average time: 2.5 minutes per comment
• Reply rate: 35%
• Perceived quality (rated by readers): 4.2/5
• Profile visits generated: 0.8 per comment

AI-generated without customization:

• Average time: 20 seconds per comment
• Reply rate: 12%
• Perceived quality: 2.1/5
• Profile visits generated: 0.2 per comment

AI-assisted (generated + customized):

• Average time: 45 seconds per comment
• Reply rate: 31%
• Perceived quality: 3.9/5
• Profile visits generated: 0.7 per comment

Conclusion: AI-assisted commenting delivers 90% of the quality in 30% of the time. This is the sweet spot for most professionals.

When to use automation vs. manual commenting:

Use AI assistance for:

• Posts from people you don't know well
• Industry news or trend discussions
• Content that requires thoughtful response but not personal stories
• High-volume days when you're short on time
• Comments that primarily add professional insight

Go fully manual for:

• Close connections and important relationships
• Sensitive topics (job losses, company changes, personal challenges)
• Posts where you have unique, personal experience to share
• High-value prospects or clients
• Situations where relationship depth matters more than efficiency

Strategic blend example: One founder comments 20 times daily. She uses AI assistance for 15 of them (posts from her broader network). She writes 5 completely manually for her top-tier relationships and highest-priority prospects. This combination maintains her visibility while preserving authenticity where it matters most.

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Best Practices for Automated LinkedIn Comments

Automation amplifies your approach. If your manual commenting strategy is weak, automation makes it worse at scale. Strong fundamentals + automation = exceptional results.

Always add personalization to AI suggestions: Never post an AI-generated comment without modification. Even small changes matter:

• Change one word to match your vocabulary
• Add a specific detail from your experience
• Reference something from the author's profile
• Ask a follow-up question

These customizations take 15-30 seconds but transform generic comments into authentic engagement.

Mix generated and original comments: Don't use AI for every comment. Aim for 70% AI-assisted, 30% fully original. This keeps your voice authentic and prevents over-reliance on automation.

Avoid overusing generic phrases: AI tools can fall into patterns. Watch for these red flags:

• "Great post!"
• "Thanks for sharing!"
• "This really resonates"
• "I couldn't agree more"

If your comment could apply to any post, it's too generic. Add specificity: "Your point about X really resonates, especially for [specific situation]."

Track engagement metrics to optimize: What you measure improves. Track:

• Which types of comments generate replies
• Which posts you comment on drive profile visits
• Time of day that generates most engagement
• Comment length that performs best

Use this data to refine your AI instructions and commenting strategy.

The 3-second test: Before posting any comment (manual or AI-assisted), ask: "Would I appreciate receiving this comment if I were the post author?" If the answer isn't yes, revise or skip.

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Common Mistakes to Avoid

Automation enables both excellence and disasters at scale. Avoid these pitfalls.

Over-automation leading to spam flags: Posting the same comment structure on 30 posts in an hour triggers LinkedIn's spam detection. Even with AI, vary your approach, timing, and content significantly.

Generic comments that hurt your brand: Your comments represent your professional brand. One week of robotic comments can undo months of credibility building. Quality must remain non-negotiable.

Ignoring LinkedIn's activity limits: LinkedIn tracks activity velocity. Humans don't comment on 50 posts in 30 minutes. Exceeding realistic human patterns triggers review. Stay under 20-25 comments daily, spread across multiple hours.

Not customizing AI outputs: Treating AI as a copy-paste solution rather than a starting point. The customization step is where automation becomes effective rather than harmful.

Commenting on everything: Strategic commenting outperforms volume commenting. Comment on posts from your target audience, industry leaders, and potential clients. Skip everything else. Ten strategic comments beat thirty random ones.

Neglecting relationship building: Commenting is the start of relationship building, not the end. When someone replies to your comment, continue the conversation. Connect with engaged commenters. Move promising conversations to DM.

Automation should create space for deeper relationship building, not replace it entirely.

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Start Automating Your LinkedIn Comments Today

The most successful LinkedIn users don't choose between authenticity and efficiency. They combine both through strategic automation.

Quick-start recommendation: Begin with LigoAI. The free trial (30 comments) lets you test how well the AI adapts to your unique voice and commenting style. Install it, use those 30 comments strategically, and measure the impact on your profile visits and engagement.

The reality of LinkedIn in 2025: Your competitors are automating. The professionals dominating your feed aren't spending hours daily on LinkedIn. They're working smarter with AI assistance.

The question isn't whether to automate. It's whether you'll automate thoughtfully (preserving authenticity) or fall behind (stuck in purely manual workflows).

Try LigoAI Free (30 Comments) - See how well AI adapts to your style. Start with 5 minutes daily. Build from there.

Your LinkedIn visibility compounds. Fifteen strategic comments weekly becomes 780 annually. Each one is a chance to appear in someone's feed, generate a profile visit, and start a relationship. Automation ensures you capture these opportunities consistently.

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Frequently Asked Questions (FAQ)

How do you automate LinkedIn comments?

You automate LinkedIn comments using AI-powered tools that generate comment suggestions based on post content. The safest approach uses manual-trigger tools like LigoAI: the AI reads the LinkedIn post, generates 2-3 thoughtful comment options, you review and customize one, then manually post it. This process reduces commenting time from 2-3 minutes to 30-60 seconds per comment while maintaining authenticity through human oversight.

Is automating LinkedIn comments safe?

Yes, when done correctly. Safe automation uses manual-trigger tools where you approve each comment before posting—this appears as normal human activity to LinkedIn. Unsafe automation fully auto-posts without human review, uses identical templates across multiple posts, or posts at inhuman speeds (20+ comments in 10 minutes). Tools like LigoAI are very safe because they require your approval; tools that auto-post while you sleep carry high ban risk.

Which tool is best for automating LinkedIn comments?

LigoAI is best for most users because it offers excellent AI quality (GPT-4-class), requires manual approval (very low ban risk), learns your unique commenting voice, and works across multiple platforms (LinkedIn, Twitter, Reddit, Facebook). It offers 30 free comments to test the AI. For users wanting completely free options, ChatGPT with manual workflow works well but requires more time. For sales teams needing CRM integration, Engage AI is worth considering.

How much time does LinkedIn comment automation save?

Significant time. Manual commenting: ~2.5 minutes per comment (includes finding post, reading, thinking, writing, editing). AI-assisted commenting: ~30-60 seconds per comment (AI generates draft, you customize, post). For 15 daily comments, that's 37.5 minutes manually vs. 7.5-15 minutes with automation—saving 20-30 minutes daily or 10-15 hours monthly. This time savings lets professionals comment more consistently, leading to better LinkedIn results.

Can LinkedIn detect automated comments?

LinkedIn can detect obvious automation: identical comment templates, inhuman posting speed (50 comments in 15 minutes), perfectly consistent daily patterns, and obvious AI language. However, LinkedIn cannot detect thoughtful AI assistance when you customize outputs and post manually at human speeds. The key is using manual-trigger tools that preserve human pacing and oversight. LigoAI-style tools are undetectable because LinkedIn sees normal human behavior—you reading, clicking, typing, posting.

How many LinkedIn comments should I post per day?

15-25 comments daily is optimal for most professionals, split across morning, midday, and evening sessions. This volume is high enough to generate visibility but low enough to appear human and stay within LinkedIn's safe limits. Posting 50+ daily comments risks spam detection. Starting users should begin with 5-10 daily comments for the first 2 weeks, then scale to 15-25. Consistency matters more than volume—15 comments daily for 30 days beats 50 comments one week then nothing.

Do AI-generated LinkedIn comments sound robotic?

Not when customized properly. Modern AI tools (GPT-4-class like LigoAI) generate natural, thoughtful comments that are indistinguishable from human writing when you add personalization. The robotic reputation comes from users posting AI outputs without customization or using older template-based tools. The best practice: use AI to generate the first draft, then customize with your voice, experience, and insights. This combination delivers authentic comments in a fraction of the time.

Is using AI for LinkedIn comments considered unethical?

No, using AI as a writing assistant is not unethical—it's similar to using spell-check, grammar tools, or hiring an editor. The ethical line is deception vs. assistance. Ethical use: AI helps you articulate thoughts faster, you add genuine insights and approve before posting. Unethical use: fully automated spam, posting AI outputs without reading the original post, or pretending comments are 100% manual when they're fully automated. Transparency about using tools to work efficiently is professional, not unethical.

What's the ROI of LinkedIn comment automation?

For professionals, the ROI is substantial. Direct time savings: 10-15 hours monthly at 15+ comments daily. Business outcomes: increased profile visibility leads to 20-40% more profile visits, 3-5 inbound connection requests weekly, and strengthened relationships with target audience. For consultants, this often translates to 1-3 additional client conversations monthly. For B2B sales, improved pipeline visibility and warmer outreach. Most users report paid tools ($30-50/month) deliver 10-20x ROI through time savings alone, before counting business impact.

Can I automate LinkedIn comments completely hands-off?

You shouldn't, and safe tools won't let you. Fully hands-off automation (posting without human review) violates LinkedIn's terms of service and carries high ban risk. The goal of automation is to assist, not replace. Best practice: use AI to generate suggestions (1-2 seconds), you review and customize (20-30 seconds), you manually post (1 second). This "assisted automation" saves massive time while preserving authenticity and keeping your account safe from restrictions.

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Related Resources

• 5 Ways to Automate LinkedIn Without Losing Authenticity
• How to Write a Good LinkedIn Comment: 7-Step Formula for Agency Owners
• LinkedIn Comment Examples: Professional Responses for Every Situation
• 5 Ways to Use AI Comments on LinkedIn Without Sounding Like a Robot
• Why LinkedIn Comments Matter More Than Posts (And How to Leverage Them in 2025)