How to Automate LinkedIn Comments Using AI Agents
If you're trying to grow your network or attract clients, keeping up with posts from lots of people can start to feel like a full-time job. It gets tiring fast.
Let’s say you're a freelance UX designer trying to get noticed by startup founders or product managers in the SaaS space. You want to join their conversations and leave thoughtful comments that show your expertise.
But between client work, switching tools, and coming up with something smart to say, it can be too much. That’s why it’s best to automate LinkedIn comments.
I’m not talking about spamming, but adding valuable thoughts using AI. When done right, it can help you stay engaged without burning out.
In this guide, I’ll show you how to automate LinkedIn comments the right way, what tools to use, and how Sigma Browser’s AI agent can help you do it all more efficiently.
Let’s begin.
What Does Automating Comments Really Mean?
Automating comments doesn’t mean blasting the same message over and over again. At its core, it’s about a smart system, usually powered by AI, to help you stay active without doing everything manually.
Here’s what it usually involves:
- Discovering relevant LinkedIn posts based on hashtags, companies, or people you care about
- Writing thoughtful replies that match the tone and topic of the post
- Posting those comments for you at natural times, so it doesn’t look forced
- Keeping track of replies so you can jump back in when needed
Basic tools just push out pre-written comments on a schedule. Smart AI agents are different. They read the post, understand the context, write something relevant, and even follow up when it makes sense.
That’s what makes your engagement feel real, even if you didn’t type every word yourself.
Why Should You Boost Engagement with AI?
Here are important reasons why you should automate linkedin comments boost engagement with AI:
- Consistency raises visibility
LinkedIn favors profiles that interact regularly. Automated comments keep your presence active when you’re busy doing it yourself. - Time saved
Instead of scrolling and typing, AI tools write and post comments for you, which can save you valuable hours. - Meaningful interaction at scale
Good AI tools don’t just leave surface-level personalization that respond with the same templated line dressed up with a name or keyword. They craft meaningful comments that highlight insights or ask thought-provoking questions to get you seen and build real connections. - Data-backed refinement
Most AI tools show you which comments get responses, so you can fine-tune your approach and keep improving.
Automate LinkedIn comments are a high-impact tactic, but only when done intentionally.
Step-by-Step Guide to Automate Comments
Here’s a simple step-by-step process to help you automate your comments on LinkedIn:
1. Choose Your Automation Style
You can go with basic template-based schedulers or use smart AI agents that read posts and create original responses in real time. For example, tools like PhantomBuster or Buffer let you schedule pre-written comments, while something like Sigma Browser uses AI to generate context-aware replies (more on that later).
2. Choose Who and Qhat to Engage With
Focus on hashtags, thought leaders, or company pages that matter in your space. This keeps your comments relevant and strategic. For example, target hashtags like #AI, #RemoteWork, or #B2BSaaS if those align with your niche.
Follow key voices like Andrew Chen or April Dunford for consistent engagement opportunities.
3. Create Dynamic Templates
Write base comment templates that sound like you. For example:
"Loved your take on [topic]! Especially the part about [specific point]. Curious how you apply that in [situation]?"
These act as a foundation for scalable but authentic replies, like:
"Great breakdown of AI in healthcare! The part about patient data privacy really stood out. How do you see hospitals balancing speed and security in practice?"
4. Use AI to Personalize Your Message
Use tools like Sigma Browser to feed post details into an AI prompt to generate better and more tailored comments.
For example, The AI reads a post about remote team culture and replies with something like, “Totally agree on async communication helping teams. We've seen fewer burnout signs since adopting it too. Do you have any specific tools in mind?
5. Set Daily Limits & Timing
Stick to around 5 to 10 comments a day and space them out. The goal is to look engaged, not spammy. For instance, you can post three comments in the morning, two around lunch, and the rest before signing off.
6. Post, Monitor, Adjust
Watch how people respond. Are they liking, replying, visiting your profile? Use that feedback to tweak your tone, timing, or targets.
Tools That Can Help You Automate LinkedIn Comments
Most of us use pilot tools to make LinkedIn engagement less of a daily chore before diving into AI agents. These aren't full agents yet, but they're smart enough to save you several hours and allow you to consistently appear.
Think of these as your sidekicks: they amplify your presence, not replace your voice.
Here are some top contenders:
PhantomBuster
This is a tool specifically designed to automate Linkedin comments and boost engagement with AI. If you want a fast and hands-off way to automate LinkedIn comments, PhantomBuster is one of the easiest tools to start with.

How it works:
- Connect your LinkedIn account using a session cookie.
Important:
A session cookie is a small piece of data your browser stores when you log into a website like LinkedIn. In the case of PhantomBuster or similar tools, it’s used to authenticate your LinkedIn account without asking for your username and password.
Always treat your session cookie like a password. If someone gets access to it, they can use your LinkedIn account without logging in.
- Choose how you want to find posts either by URL list, keyword search, or author.
- Add a list of comments you'd like the bot to use.
- Then schedule how often and when the comments should be posted.

PhantomBuster is perfect if you want a quick setup and high volume. Just keep in mind that the personalization is basic unless you connect it with an AI tool that can adapt your comments based on each post.

Bardeen
Bardeen is a flexible automation platform. Although it doesn't offer auto-commenting straight away, you can create a custom workflow using its LinkedIn data scraper and combine it with tools such as ChatGPT to analyze posts and personalize your comments.

How it works:
- Scrape recent LinkedIn posts based on keywords, hashtags or specific profiles.
- Send post content to ChatGPT or any other AI to generate context-aware comments
- Post manually or automate the final step using LinkedIn-compatible tools or reminders

Bardeen is best suited to advanced users who are comfortable with building custom automations. It offers great flexibility, but is not plug-and-play.
Meet Alfred
Meet Alfred is a user-friendly LinkedIn automation tool designed for professionals who want consistent, hands-off engagement. It offers built-in auto-commenting features with easy setup and smart targeting options.

How it works:
- Sign up and connect your LinkedIn account to the dashboard.
- Then, navigate to the Auto Comment section to define your targets and goals.
- Create and manage comment templates that reflect your tone.
- Then set the type of posts, comment frequency and scheduling rules.
- Test everything before launching your campaign.
Meet Alfred is great for anyone who wants quick setup, clean automation, and reliable results. It’s less flexible than Bardeen, but far easier if you want to get started quickly with less stress.
Sigma Browser’s AI Agent for Comments
The above tools are undoubtedly beneficial, but they have one major drawback: they're still reactive. You put them in place, input templates, and they do their thing. But imagine if your engagement tool could think ahead. That’s what makes Sigma Browser different.
What makes Sigma Browser stand out:
- Sigma's agent runs locally in the browser. This is in contrast to third-party software that must access your LinkedIn profile or run cloud-based scripts. Your activity and credentials never pass through a server off your PC. This is a clear security advantage for security-conscious users and teams.
- There is no tab toggling. There are no API hooks. There is no tool fatigue every month. Sigma's agent lives in the browser, seamlessly integrating with your workflow: LinkedIn, Gmail, Calendars, Docs, etc.
This approach is ideal for individuals and teams who value privacy, want to avoid bot-like behavior, and prefer tools that naturally fit how they already work.
Note:This feature is currently in development and coming out soon but gives a glimpse of where smart engagement is headed.
Best Practices for Automating LinkendIn Comments
Here are some smart tips to help you keep your engagement genuine and avoid getting flagged:
- Keep it natural: Aim for 5 to 10 comments per day. Anything more can raise flags and feel spammy.
- Use real context: Avoid cookie-cutter replies. Reference something specific in the post so your comment adds value. For example: Post: “We just switched our entire workflow to Notion.” Comment: “We made the same move a few months ago. Curious though. Did your team struggle with the initial onboarding like we did?”
- Stay conversational and be human: Ask thoughtful questions, share insights, or add personal takes. It feels more like a conversation than a broadcast. For instance, instead of “Congrats on your launch,” try: “Love the UI on your new app! What tools did you use for the design?”
- Respond quickly: If someone replies to your comment, don’t leave them hanging. It shows you’re present, not just automating and ghosting.
- Stay within limits: LinkedIn doesn’t like sudden spikes in activity. Spread your comments throughout the day and monitor your account for warnings or restrictions.
Final Thoughts
When you automate LinkedIn comments thoughtfully, you stay relevant, build your brand, and expand connections without effort. Replacing human interaction is not the issue. The real goal is to enhance your presence.
Use template tools or intelligent agents today, and look out for Sigma's new native AI agent coming soon. It will not just comment, it will understand, interact, and help you amplify authentic engagement.