How to Analyze Competitor LinkedIn Posts
A Post-by-Post Method for Reading What a Rival Company Page Publishes
Short answer
To analyze competitor LinkedIn posts, log thirty recent company page posts with their format, topic, hook and call to action. Then record the public reactions, comments and reposts, compare each post to that page's own median, and read who is commenting. Impressions and clicks stay private, so judge posts on visible response only.
1. What can I see on a competitor LinkedIn post?
The copy, the format, the posting date, the total reactions with the reaction types, the comments in full, and the repost count. Impressions, clicks, click-through rate and the followers a post earned are visible only to the page admins.
| Element | Public to you | Admin only |
|---|---|---|
| Copy and format | Full text, images, document pages, video, poll options | Drafts, edits, scheduled posts |
| Reactions | Total count and which reaction types were used | Reach behind those reactions |
| Comments | Every comment, the commenter name and headline | Comments hidden by moderation |
| Reposts | The count, and reposts with commentary in the feed | Where the reposted reach went |
| Distribution | Nothing | Impressions, clicks, click-through rate, follows from the post |
| Audience | Nothing beyond who chose to engage publicly | Seniority, function, industry and location breakdowns |
That split defines the whole method. You cannot measure how well a post was distributed, only how the people who saw it chose to respond in public. That is a narrower question, and it is still a useful one, because the people responding on a B2B page are disproportionately the buyers, partners and hires you also care about.
2. How do I log competitor LinkedIn posts for analysis?
Capture thirty recent posts per competitor in a sheet with eight columns, wait until each post is a week old before recording its numbers, and keep the same columns every month so the log becomes a comparison.
The first pass takes about forty minutes per competitor. The monthly update takes ten.
- Open the Posts tab on the company page. Go to the competitor company page and open Posts rather than scrolling your feed, which is filtered by LinkedIn and will skip posts. Work back from the newest until you have thirty, skipping any posted in the last seven days.
- Record eight fields per post. Date, format (text, image, document, video, poll, article, repost), topic in three words, the hook (the first line before "see more"), the call to action, reactions, comments and reposts. Copy the hook verbatim, because the wording is what you will compare.
- Wait a week before logging the numbers. A post published yesterday is still collecting responses. Logging it next to month-old posts makes new posts look weak and distorts every average. A fixed one-week delay keeps each row comparable with the others.
- Compute the page median, then the multiple. Add reactions, comments and reposts per post, take the median across the thirty, and express every post as a multiple of it. A post at 2x the median outperformed for that page, whatever the page size.Use the median rather than the mean. One viral post drags a mean upward and hides the posts that were quietly above normal.
- Mark the outliers and read them together. Highlight everything at 2x or above and everything at 0.5x or below, then read each group side by side. The question is what the high group shares that the low group lacks: format, topic, hook style, or who posted it.
3. What does the reaction mix on a LinkedIn post tell me?
LinkedIn offers six reactions: Like, Celebrate, Support, Love, Insightful and Funny. A post heavy in Celebrate is an announcement people congratulated. A post with a visible share of Insightful taught something, which is the harder result to earn.
Click the reaction count to open the list of people who reacted, which LinkedIn splits by reaction type. The icons shown under each post also show the most used types at a glance.
Three patterns worth separating:
- Celebrate-heavy posts are milestones: funding, awards, anniversaries, new hires. They inflate totals without saying anything about content quality.
- Insightful-heavy posts are the ones that carried an idea. If a competitor produces these regularly, someone there can write, and that is the capability to worry about.
- Like-only posts with few comments are the default response to routine output. A page made mostly of these is publishing for presence rather than for response.
4. How do I read the comments on a competitor post?
Read who is commenting, not how many. Comments from the competitor's own employees measure internal amplification. Comments from customers, prospects and peers in the industry measure whether the post reached the market.
Each commenter shows a name and a headline, so classification is quick. Sort the comments on the top five posts into four groups: employees of the competitor, partners and vendors, people who look like buyers, and everyone else. Twenty comments made mostly by the competitor's staff is a coordinated internal push. Twenty comments from practitioners in your market is genuine reach.
Then read the content of the buyer comments. Questions show what the post left unclear, objections show what the market does not believe, and requests show demand. Those three are raw material for your own content, and the competitor paid for the research by publishing first.
Watch the replies from the page itself too. A page that answers questions within the thread is staffed. A page that never replies is broadcasting, which usually means a small team or an agency with no authority to speak for the product.
5. Which parts of a post should I compare across competitors?
Compare the hook, the format and the call to action. Those three are choices every competitor makes on every post, so differences between them are strategy, while absolute reaction counts mostly reflect audience size.
The hook is the text a reader sees before expanding the post. Line up the hooks of each competitor outperforming posts and you will usually see a style: a contrarian claim, a number, a customer outcome, a question. That style is what their audience has trained them to write.
Format tells you about production budget. Document posts and native video take real effort. A page shifting its mix toward them across a quarter has added capacity. For a deeper read of what that mix says about positioning, see the companion guide on what B2B competitors teach through their content.
The call to action is where marketing meets sales. Note whether posts link out, where the link sits, and what it points to: a demo, a guide, an event, nothing. A competitor that stops linking and starts asking for comments has changed what it is optimizing for.
Can I compare reaction counts between a large and a small competitor page?
Not directly. A page with ten times the followers will collect more reactions on weaker posts. Compare each post to its own page median, then compare the multiples. If you need a rate, divide by followers and only compare pages in a similar follower band, stating the denominator every time.
6. Does LinkedIn have its own competitor post view?
Yes, for page admins. Competitor analytics inside your own LinkedIn Page analytics shows trending posts from competitors over the past 30 days, plus follower and organic content metrics, for a limited number of competitors.
Open your own page admin view, then Analytics, then Competitors. LinkedIn states that a standard page gets data for one competitor and a Premium Company Page for up to nine, with trending competitor posts refreshing daily and limited to fewer competitors than the other views.
It is the only official source of comparative numbers, and it is worth checking before building anything by hand. Its limits are practical: it only covers the last 30 days for trending posts, it depends on you having and administering a page, and LinkedIn notes that targeting settings can hide some posts. Your own dated log is still the only way to keep a history longer than LinkedIn shows.
7. What should come out of a post analysis?
Three written findings per competitor: the topics and formats that outperform for them, the objections and questions buyers raised in their comments, and the themes they never post about. Anything else is browsing.
Record these three lines per competitor, with the date:
- What works for them: the format and topic of their top five posts, in one sentence.
- What buyers asked: the recurring questions and objections in the comments.
- What they avoid: the theme that never appears, which is often where they are weakest.
Feed those into your own editorial plan and your battlecards. A buyer objection that appears under a competitor post is one you can answer publicly before they do.
Oppira tracks competitor LinkedIn company updates alongside their Facebook, Instagram, X, ads and site changes, so the post log builds itself and a sudden change in what a rival publishes surfaces in the weekly briefing. Reading the comments and judging the hooks is still work worth doing yourself.
Key Takeaways
Response is public, distribution is not
Reactions, comments and reposts are visible. Impressions, clicks and follows from a post belong to the page admins only.
Wait a week before logging numbers
A fresh post is still collecting responses, so logging it beside older posts makes new content look weak.
Judge each post against its own page median
Multiples of the page median remove audience size from the comparison and isolate what the content did.
Separate milestone posts
Funding, hiring and award posts collect employee and investor reactions and will distort any content benchmark.
Read who comments, not how many
Employee comments measure internal amplification. Buyer and peer comments measure whether a post reached the market.
Hooks, formats and calls to action are the comparable part
Every competitor makes these three choices on every post, so the differences between them are strategy.
Frequently Asked Questions
Sources
- Competitor analytics for your LinkedIn Page LinkedIn Help, September 2026.Describes the admin-only competitor view: number of competitors per page type, follower and content metrics, and trending posts over 30 days.
- Post analytics for your content LinkedIn Help, September 2026.The metrics LinkedIn reports to the author of a post, which are not visible to anyone else.
- LinkedIn User Agreement LinkedIn, September 2026.Sets the limits on automated collection, which is why manual logging or a compliant tool is the method here.
Explore More
Related analyses, benchmarks, and industry insights
Related Guides
Glossary Terms
Turn reading into a reaction
Oppira watches your competitors, keeps your playbook current, and drafts the response. See your market clearly by tomorrow.