That was one post. This is a whole day of them.
The checker gives you a score. Meadowrank does the finding too, every morning, on a sample niche. Run a day and watch the board, the card that opens, and the reply drafted in your voice. Nothing is fetched and nothing is yours yet.
A small board, one cover, the top ask under it. Clear it and the rest of the day plays out.
A scripted run with sample posts written for this page. Real signals arrive after you sign up, from real people, scanned daily.
What makes a LinkedIn post worth commenting on?
A LinkedIn post is worth a comment when the people reading it are your customers and the post leaves room to add something. On LinkedIn your buyers rarely ask for help in public; they read. The founder writing about a hiring mess, the operator posting a take on cash flow, the consultant asking a question of their followers: none of them is buying from you, but the people in the comments and the people scrolling past might be.
That is what a visibility score measures. Not whether the author is a buyer, but whether the room is full of them, and whether a specific, useful comment from you would get read. It is a different question from a buying signal, which is why it gets a different name and a different checker.
What scores high on LinkedIn
Posts that name a real problem your customers have, from someone your customers follow, that end in a question or have a live comment thread. A post from a peer who serves the same buyers can score well too, as long as it is a discussion and not a pitch. What scores nothing: a competitor marketing their own service, a self-congratulation with no thread, and industry commentary aimed at other consultants rather than at buyers.
How to comment so customers find you
Add the thing the post left out, specifically. A concrete example, a number, the one question the author did not ask. Never a link, never a pitch, never "great post". A comment that is more useful than the post gets read by everyone the post reached, and your name sits on it. Do that on the right threads for a month and your customers start to recognize you before they ever need you.
The checker scores one post at a time. Meadowrank keeps a visibility watch on LinkedIn for your niche daily and surfaces the threads where your buyers are reading, alongside the real buyer signals from Reddit, YouTube and Facebook groups.
LinkedIn visibility questions
Should I comment on a competitor's post?
If their readers are your buyers and you can add something genuinely useful, yes, and do it graciously. If the post is their marketing, the checker scores it as nothing and so should you. Arguing with a competitor in their own comments reads badly to the exact people you want.
Does a high score mean the post will go viral?
No. The score is about fit, not reach. It cannot see follower counts or impressions; it reads the text and judges whether the audience is your buyers and whether there is room to add something. A quiet post from the right person in front of the right readers can score higher than a viral one aimed at your peers.
What about posts asking for recommendations on LinkedIn?
Those are real buyer signals and the checker types them as intent, not visibility. They are rarer on LinkedIn than on Reddit or in Facebook groups, which is why this page scores rooms instead of buyers, but when one appears, treat it as the warmest thing on the platform and answer it directly.
What is a visibility score?
A 0-100 estimate of whether the people reading this post are the people you sell to, and whether a useful public comment there would be seen by them. It measures reach and fit, not buying readiness. A buyer asking a real question still gets a buyer type instead.
Why is this not called a signal score?
Because the author is usually not a buyer. Signal scores rate a person mid-problem. Visibility scores rate a room: is this a thread your customers read, and is it worth being seen in. The checker scores from the pasted text only, so it cannot see follower counts or reach; it judges topic, audience and whether the post invites discussion.
What happens to the text I paste?
It is scored and then discarded. We keep the classification, meaning the type and score, not the text itself, and nothing you paste is used to profile its author.