Content analyzer: what your posts are actually doing
You have been posting for months and the only feedback is a handful of reactions. The content analyzer reads your recent posts, measures what each one drew against your own typical post, and turns that into a plan in a few minutes: which patterns hold across your posts and how far, what to change over the next 30 days, and what to post about next.
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What the content analyzer is, and what it reads
The content analyzer is the Content Intelligence · 50 Posts PDF in Network & Audience Intelligence. It reads your own posts from the last year, up to your 50 most recent, and adds up what LinkedIn shows on each one: reactions, comments and reposts. That total is the observed response.
It then finds your typical post, the one in the middle, and measures the rest against it. You see how far your strongest post sits above it, how much of your observed response your five strongest posts drew, and how your publishing is spread across the months.
It does not see impressions, view counts or anything inside your LinkedIn analytics, because it reads your posts the way a stranger does. There is no rate and no reach figure, because LinkedIn does not share how many people saw a post.
Example · fictional profile
Posts analysed
24
from the last year
Typical post
38
observed response
Strongest post
4.2×
your typical post
Five strongest
41%
of observed response
What the report says next
Your six posts longer than 300 words have a typical response of 52, against 31 for your other 18 posts. It holds without your single strongest post, and it is not proof of what caused the response.
Fictional figures for an invented profile, shown to give the shape of the first pages. Your own report is counted from your own posts.
What it measures
Four readings, in the order you read them
Each answers a different question, and each is its own section of the Content Intelligence · 50 Posts PDF.
The situation
Is my posting doing anything for me?
Your typical post, your strongest post against it, the share of your observed response your five strongest posts drew, and how many posts you published month by month.
What the evidence shows
What is drawing a response?
Each kind of post set against all your others: format, length, subject, what a post is for and how it opens. Each finding says how far it holds, whether it rests on one post, has posts against it, or is too small to call a pattern yet. A pattern is what goes with a stronger response, never proof of what caused it.
What should change
What should I do differently?
Your posts read against your goal, the posts that drew less, and a 30-day plan: one change at a time for two or three posts, what to watch, and what to track yourself that LinkedCheck cannot see.
What to post about next
So what should I talk about?
Post ideas, each with an angle and a suggested first line and resting on your own posts or your profile, with the posts analysed listed at the back so you can check any figure against the post it came from.
How the reading is made
Written by a model, counted in code
These are two different jobs and the report keeps them apart. The advice is the part AI writes, working from figures that were already counted; a figure is never a judgement, and a judgement never invents a figure.
Counted in code
- The observed response on a post: reactions, comments and reposts added together
- Your typical post, and how far your strongest post sits above it
- The share of your observed response your five strongest posts drew
- Posts published month by month over the last year
- Each kind of post against the rest, and the checks on each finding: one post carrying it, posts against it, too few posts
- Which posts are too recent to compare yet
Computed once from your posts, then shown wherever it appears.
Written by a model
- The subject of your posts, what they are for and how they are built
- What each of your top posts does, quoted in its own words
- The 30-day plan: what to change and why
- Post ideas, each with an angle and a suggested first line
Given the figures above and your own posts, never asked to produce a number.
The model writes no figure about your posts. Every response figure in the content analysis was counted.
What the content analysis can and cannot see
It reads the public version of your posts from the link you paste. That is the promise and the limit in the same sentence.
- ReadsYour own posts from the last year as anybody sees them, with their reactions, comments and reposts, and the dates they were published.
- CannotImpressions, view counts, clicks or anything else inside your LinkedIn analytics, which are visible only to you when signed in.
- CannotSay who responded or what kind of people they are. That is the Network & Audience Intelligence PDF, read from the same posts.
- NoteA reshare with no words of your own is not counted, and a post from the last seven days is shown but not compared. The report says how many posts it compared.
- NoteEach report is one reading, made on one day. Nothing in it is compared with a report you ran before.
The other two readings of the same posts
The content analysis is about the posts. Two more readings in the same purchase are about the people who responded to them.
Audience Analyzer
Counts the people who responded to those posts, how many responded to more than one, and how senior they are, where available.Read about the audience analyzerNetwork Analyzer
Sets those people against your goal and shows the organisations where more than one of them works, where available.Read about the network analyzerA post lands on a profile. If the profile it lands on is not saying what you do, start with the profile optimizer and come back to the posts.
Posting to build a name in your field? The posts are one half of it; a personal brand that starts with the profile is the other.
Content analyzer FAQ
Questions about analysing your posts
What does a LinkedIn content analyzer do?
It reads the posts on a profile and reports what they did. This one finds your typical post, sets each kind of post (a format, a length, a subject, what a post is for) against the rest of your posts, says how far each finding holds, and names the posts that drew less. Then it reads your posts against the goal you chose and gives you a 30-day plan: what to change, what to watch, and what to post about.
Which of my posts does it read?
Your own posts from the last year, up to your 50 most recent, each counted once. A reshare with no words of your own is left out, because its response belongs to the original author. Posts from the last seven days are shown but not compared, because their response is still arriving.
Can it see how many people saw a post?
No. Impressions, view counts and everything else inside your LinkedIn analytics are visible only to you when you are signed in, and this report never signs in. What it adds together is what anybody reading the post can see: reactions, comments and reposts.
Does it tell me what to write next?
It tells you what to write about. You get post ideas, each with an angle and a suggested first line, and a 30-day plan of changes to try, each resting on your own posts or your profile. It does not draft whole posts for you.
What happens if I have not posted much?
Posts are compared only once there are at least ten of your own from the last year that are old enough. Below that, the report does not pretend to find patterns: it shows what your content has shown so far, reads what your posts do in their own words, and suggests subjects worth testing, based on your profile.
Which report includes the content analysis?
Network & Audience Intelligence, as the Content Intelligence · 50 Posts PDF, beside the Network & Audience Intelligence and People & Organisations PDFs read from the same posts.
The posts read comes with one product. Start with the free check on the profile they land on.
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Adds the content analysis as the Content Intelligence · 50 Posts PDF: your typical post, which patterns hold across your posts, a 30-day plan, and what to post about next.
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