Strategic commenting is the highest-leverage activity on LinkedIn for building authority. A well-crafted comment on a high-visibility post in your niche can drive more profile visits than your own content — because the audience seeing your comment is already engaged with the exact topic you want to be known for. Spending 20 minutes per day commenting substantively is more effective for authority building than posting an additional two to three times per week.
The key is adding perspective, not agreement. Comments that say 'Great post!' or 'Love this!' are invisible to the algorithm and invisible to the audience. Comments that add a unique angle, challenge a specific point with evidence, or extend the conversation with a relevant question signal expertise to both the algorithm and the readers. The algorithm treats substantive comments as signals of your credibility on the topic.
The compounding effect is significant. Over 30 days of consistent commenting on the right accounts, your name becomes familiar to the exact audience you want to reach. When you eventually send a DM or publish your own post, you are not a stranger — you are someone they have seen adding value in conversations that matter to them. This is Digital Gravity™ in miniature.
- Strategic commenting builds more authority per minute than additional posting — a well-crafted comment on a viral post can drive more profile visits than your own content.
- Add perspective, not agreement — 'Great post!' is invisible to the algorithm and the audience, while comments that extend the conversation signal expertise.
- 20 minutes per day is the effective investment — identify 5-10 accounts your ideal clients follow and comment on their posts consistently.
- The compounding effect creates warm familiarity — after 30 days of consistent commenting, your name is recognized in your target audience's feeds, making all future outreach significantly more effective.
- Follow-up questions in comments trigger threads — threads increase the visibility of your comment and your profile because the algorithm treats extended conversations as high-quality engagement.
- Comment on posts from people your clients follow — not on posts from your peers, which puts you in front of the wrong audience.
Get Recommended by AI
- 1Watch the free training3 Roadblocks to Getting AI-Recommended
- 2Get AlignedSee exactly how AI interprets your business right now
- 3Get Activated™Install the framework. Make the shift.
- 4Join Collective WisdomOur implementation ecosystem.
What makes a LinkedIn comment 'substantive' in the algorithm's eyes?
A substantive comment in LinkedIn's algorithm is one that contains ten or more words and adds genuine value to the conversation. The algorithm weights these comments far more heavily than click reactions — a single ten-word comment outweighs five likes in the scoring model. Comments that trigger replies from the original poster or other readers generate even more distribution for both the post and the commenter's profile.
What Counts as Substantive
- Adds a specific example or data point that extends the post's argument
- Challenges a specific claim with evidence or experience (respectfully)
- Asks a follow-up question that deepens the conversation
- Shares a relevant personal experience that validates or adds nuance to the post
What the Algorithm Ignores
According to TrueFuture Media's LinkedIn algorithm analysis, short generic comments ("Great post!", "This!", "So true!") receive almost no algorithmic weight. They neither help the original post's distribution nor expose the commenter's profile to the audience.
Which accounts should I comment on to reach my ideal clients?
Comment on accounts that your ideal clients follow and engage with — not accounts that your peers follow. The distinction is critical. If you comment on posts from other coaches, you are building authority in front of coaches. If you comment on posts from the thought leaders your ideal clients admire, you are building authority in front of potential buyers.
How to Identify the Right Accounts
- Think about who your ideal client looks up to professionally
- Search LinkedIn for those thought leaders, industry voices, and conference speakers
- Check their follower counts and typical engagement — you want accounts with active comment sections
- Follow 10-15 of these accounts and turn on post notifications
The Targeting Strategy
For the Authority Directory Method, the right accounts to comment on are:
- AI and marketing thought leaders (your clients are watching these for guidance)
- Business strategy creators (your clients want to grow smarter, not harder)
- Industry-specific voices in coaching, consulting, or expert services
Your comments on these posts position you as a knowledgeable voice in conversations your prospects are already having.
How do I write comments that trigger conversations and threads?
The most effective way to trigger a thread in a LinkedIn comment is to add your perspective and then ask a specific follow-up question. This creates a two-part structure: first, you demonstrate expertise by contributing something original, then you invite a response by asking something the original poster or readers will want to answer.
The Comment Formula
- Acknowledge the specific point that resonated (not the whole post — one thing)
- Add your angle — a relevant example, a connected insight, or a respectful challenge
- Ask a question that extends the conversation into territory you want to discuss
Example
Post: "AI is changing how buyers discover service providers." Comment: "This is exactly why I'm seeing coaches who restructure their content into topic clusters getting recommended by ChatGPT — the AI needs architecture, not just quality. Curious — have you noticed a difference in recommendation patterns between structured directories and traditional blog-style sites?"
This comment demonstrates specific expertise, adds value to the conversation, and invites a response that deepens the thread — all of which the algorithm rewards.
How does commenting help my own LinkedIn content perform better?
Commenting improves your own content performance through two mechanisms: it builds your network of first-degree connections who see your posts, and it trains the algorithm to associate your profile with specific topics. Both effects compound over time and directly increase the reach of everything you publish on your own profile.
The Network Effect
Every substantive comment exposes your profile to the commenter's audience. Some of those people visit your profile, and a percentage send connection requests. Each new connection is someone who will see your future posts in their feed. According to LinkedIn algorithm research, first-degree connections are the initial test audience for every post — so a larger, more relevant network means better starting distribution.
The Topical Authority Signal
When you consistently comment on posts about a specific topic, the algorithm builds a profile of your expertise. This profile affects how your own posts are distributed — the algorithm is more likely to show your content to people interested in the topics you have demonstrated knowledge about through commenting.
Can commenting alone build enough LinkedIn authority without posting?
Commenting alone can build significant authority and familiarity within a specific audience, but it is most effective when combined with even a minimal posting cadence. Comments build awareness of your expertise. Posts build a body of evidence on your profile that visitors can evaluate when they click through. The ideal combination is 20 minutes of daily commenting plus 2-3 posts per week.
What Commenting Alone Achieves
- Name recognition in your target audience's feeds
- Profile visits from curious readers who want to know more about you
- Warm familiarity that makes future outreach significantly more effective
- Topical authority signals that improve your profile's algorithmic classification
What Posting Adds
When someone clicks through from your comment to your profile, your posts are the first thing they see. If your profile has a body of framework posts, contrarian takes, and proof posts — they validate the expertise your comment demonstrated. If your profile is empty, the authority signal dies. According to SalesBread's outreach data, prospects who can review a body of content before engaging convert at significantly higher rates.
The commenting strategy is the part of LinkedIn that feels most natural to me — because it is Transformation Before Transaction in its purest form. You are not posting about yourself. You are not pitching. You are showing up in conversations that matter to your audience and adding value. That is it. No ask, no agenda, no performance.
What I have found, working with the experts inside Collective Wisdom, is that the ones who resist commenting are usually the same ones who resist networking events, cold outreach, and social media generally. They are introverts who would rather build than perform. But commenting is not performing. It is contributing. And the 20-minute daily investment produces returns that are disproportionate to the effort — because you are borrowing someone else's audience to demonstrate your expertise.
I think of commenting as the Digital Gravity™ equivalent of what happens when someone mentions you at a dinner party. You are not there. You did not arrange it. But your name comes up because you have been consistently adding value in spaces where the right people gather. Over time, your name becomes shorthand for a specific kind of expertise — and that is when The Prize Never Chases becomes operationally true.
If you're ready to see how this applies to your business → Watch the free training: 3 Roadblocks to Getting AI-Recommended
Founder, Perfect Little Business
Cindy Anne Molchany is the founder of Perfect Little Business. Since 2015, she has designed and built over 70 online programs for clients that have collectively generated more than $100 million in revenue. She helps established expert founders build intelligent, human-first businesses that attract ideal clients, command authority, and create leverage — without performing for algorithms or chasing endless scale.