How B2B founders find the right LinkedIn posts to comment on
Most founders comment on whatever shows up in their feed. Here's a more systematic way to find posts where your comment actually reaches your buyers.
Most B2B founders we work with have the same problem: they know commenting on LinkedIn works, but they spend 30 minutes finding a decent post to comment on and still aren't sure they picked the right one. The scroll is not the strategy. Finding the right posts to comment on is a research problem, and it has a repeatable solution.
B2B founders find the right LinkedIn posts to comment on by first identifying which influencers their ideal buyers actually follow, then monitoring those accounts for posts early in the engagement window (under 2 hours old), and filtering for posts that invite a substantive response rather than just validation. The goal is to place a sharp comment where your buyer is already paying attention, not where the post happens to be trending.
Why the feed is the wrong starting point
LinkedIn's feed is optimized for your engagement history, not for your pipeline goals. If you've been liking SaaS growth threads, you'll see more SaaS growth threads. That's fine for discovery, but it creates a structural problem: the posts surfacing in your feed are posts the algorithm thinks you'll engage with, which is not the same thing as posts your ideal buyers are reading.
The founders who build consistent inbound through commenting start from the buyer, not the feed. The question is not "what showed up in my feed today?" but "which people do my buyers follow, and what are those people posting right now?"
We've watched this pattern across dozens of account audits. Founders who comment on algorithmically surfaced posts build a vague sense of LinkedIn presence. Founders who comment on posts from influencers their buyers follow start getting DMs that open with "I keep seeing your name come up."
Step 1: build your target influencer list
Before you can find the right posts, you need a list of the right accounts to monitor. This is a one-time research investment that pays compound returns.
Start with 10-15 accounts in your buyers' orbit. These are not necessarily the biggest names in your category. They are the people your specific buyers follow and read. A few ways to find them:
Ask your customers directly. "Who do you follow on LinkedIn for [topic]?" gets you a list in one conversation. Most customers will name 3-5 people without hesitation. This is the most reliable signal you can get.
Look at who your best customers engage with. Go to a recently closed customer's LinkedIn profile. Click their activity. Look at what posts they've commented on or liked in the past 30 days. The authors of those posts are your targets.
Work the "also follows" signal. When you visit an influencer's profile, LinkedIn shows followers who overlap with people in your network. If multiple people you know follow the same account, that account is in your buyers' ecosystem.
Check who appears in your buyers' comment sections. When a customer posts something, look at who else is commenting. The senior people commenting on that post probably have overlapping audiences.
The list you're building here is not "big LinkedIn accounts in B2B SaaS." It's "the 12 people my CTO buyers in the 100-500 person company range actually read." That specificity is the entire point.
Step 2: filter for posts worth commenting on
Not every post from your target list is worth your time. Three criteria narrow it down:
Post age. LinkedIn's algorithm distributes new posts in waves. The first wave goes to your closest connections; if they engage, it goes wider. A sharp comment placed in the first 90 minutes gets seen by the early engagers, which are usually the most engaged people in that audience. A comment placed 18 hours later gets buried under 200 others and seen by almost no one.
The post invites a specific response. Posts that share a data point, a contrarian opinion, or a specific decision the author made are posts you can add something real to. Posts that are purely inspirational leave no surface for a substantive response. You want a post where you can say something a CTO or VP of Sales would find credible and specific, not a post where the only available response is agreement.
The post's audience matches your buyer. An influencer posting for developer audiences is different from the same influencer posting for GTM leaders, even on the same day. Look at the content of the post, not just the author. Comments on a post about sales compensation reach a different slice of an influencer's audience than comments on a post about engineering culture, even if it's the same influencer.
Step 3: write a comment that earns profile visits
This part is covered more thoroughly in our breakdown of how top LinkedIn creators drive engagement, but the short version: a comment that makes your buyer curious enough to click your name is worth twenty times a comment that gets a thumbs-up from the author.
What generates that curiosity: a specific data point from your own experience that adds to or complicates what the author said. A direct question that implies you've thought about this more than most people. A concise counterexample with enough specificity that it reads as something you've actually seen, not something you've read.
What doesn't: "Great post, fully agree." "This is so important." "We ran into this too, feel free to DM me." The algorithm treats these as low-quality engagement, and experienced readers skip them.
The comment is not a sales pitch. It's a demonstration of the thing you know. The profile visit comes from curiosity, and the curiosity comes from a comment that doesn't fully resolve the question it raises.
Step 4: track what's working
After 3-4 weeks of commenting on targeted posts, you should be able to answer three questions: Which influencers' audiences engage with my comments most? Which types of posts generate profile visits? Which comments led to connection requests or DMs?
If you can't answer these, you're optimizing blind. The founders who build real inbound from LinkedIn engagement treat it as a channel with measurable inputs and outputs, not a vibe-based activity.
The metrics worth tracking are not likes on your comments. They are: profile views in the 24 hours after a comment, connection requests from people you didn't already know, and (the lagging indicator) how many late-stage sales conversations include some version of "I've been seeing your name for a while." The earlier indicators -- profile views and connection requests -- tell you whether you're on track before deal signal arrives.
The influencer-selection mistake most founders make
When founders do start building a target list, they almost always over-index on follower count. The logic is straightforward: bigger audience means more exposure. In practice, the relationship between follower count and pipeline-relevant visibility is weaker than it looks.
A 400,000-follower account that posts for a general professional audience might have 200 CTO readers in your target company-size range. A 15,000-follower account focused on B2B SaaS operations might have 2,000 of them. A comment on the second account reaches a denser concentration of your buyers per impression.
We've looked at this pattern in account audits of founders who've built real inbound through LinkedIn. The accounts that generated the most inbound-attributable DMs were almost never the largest influencers they were commenting on. They were the mid-size accounts with tighter audience alignment. Our analysis of how Justin Welsh structures his LinkedIn strategy shows a version of this: his engagement rate is high precisely because his audience is self-selected around a specific topic rather than a generic professional interest.
Follower count is a proxy for reach. What you actually want is reach within your specific buyer cohort. Those are different things, and conflating them is how you end up spending 6 months building visibility with people who will never buy from you.
Making this executable in 10 minutes a day
The research above is a one-time investment. The daily habit is short: open your target influencer list, sort by recency, check for posts under 2 hours old that meet the criteria, write one or two sharp comments, and close the tab.
The whole execution is 10 minutes if the target list is built and the filter criteria are internalized. The part that takes 30 minutes is the scroll, which you've now replaced with a system. For a more detailed look at how to turn that presence into consistent inbound, our guide to LinkedIn inbound signals walks through the leading indicators worth watching and what to do when they spike.
Frequently asked
Two to three well-placed comments on targeted posts outperform ten generic comments scattered across the feed. Quality and targeting matter far more than volume. Starting with two comments per day on posts from your monitored influencer list gives you enough data to see what's working within 3-4 weeks without burning time you don't have.
