LinkedIn Post Analyzer
Most LinkedIn posts die in the first sentence. Paste your draft and find out - before you publish - whether your hook is holding, your structure is clear, your hashtag quality is helping (not hurting), and your reach potential is real.
Generic reach estimates miss the point.
LinkedIQ's predictive resonance is built on your actual content history and audience. It tells you how a post is likely to perform with your specific readers - not an average LinkedIn account.
Get predictive resonance →Paste your draft
Rough notes or a polished draft - either works. The earlier you analyze, the less you've committed to a version that might not land.
Get a full breakdown
We score your hook, structure, and hashtags separately - and give you an estimated reach tier with the reasoning behind it.
Fix the gaps, then publish
Apply the specific feedback, not a rewrite. Your voice, your point - just sharper. Then post with more confidence.
What happens when you hit analyze
Your draft goes to an AI model prompted to read like a LinkedIn content strategist - not a keyword checklist, not a template match. It reads the sentences you actually wrote and scores them against patterns that tend to predict real engagement on a mobile-first feed.
Three scores, then a reach tier
The tool scores three things independently, each 0-10, then uses all three to estimate how far the post is likely to travel.
- Hook Score - the opening line. Does it start in tension or specificity, or does it warm up with context nobody asked for? A weak hook means most readers never see line two, however good the rest is.
- Structure Score - how the post reads on a phone: line breaks, pacing, and length. Posts in roughly the 500-1,300 character range tend to hold attention without asking too much. A wall of text loses in the first scroll.
- Hashtag Score - relevance and count, not volume. Three to five specific tags typically outperform ten generic ones; the tool flags tags that are too broad to help anyone find the post.
Reach Tier - Low, Medium, High, or Viral potential - isn't a fourth score. It's a synthesis of the other three plus whether the post gives someone a real reason to comment. Treat it as a read on distribution mechanics, not a guarantee, and it's not tied to your follower count.
What it doesn't do
- It doesn't rewrite your post - only tells you what's working and what to fix. The words stay yours.
- It doesn't track performance over time. Every analysis is a one-off read of whatever you pasted - nothing is saved between sessions or compared against past posts.
- It isn't calibrated to your specific audience. This is general LinkedIn best practice applied to your text, not a model trained on your account's actual engagement history - that's a separate, paid part of LinkedIQ.
What we do with your draft
Your post text is sent once to the model for analysis and isn't written to a database anywhere in this tool. The only thing kept is a same-day count of how many free analyses your IP address has used, so the 3-per-day limit works - not the content of what you pasted.
Will this rewrite my post?
No. This tool analyzes and gives specific feedback - it doesn't rewrite. Your message, your voice, your call. We just tell you where it's strong and where it's costing you reach.
What determines the reach tier?
Hook strength, format (line breaks, length), engagement mechanics (does it invite a real response?), topic specificity, and hashtag quality. These are the factors that consistently predict algorithmic distribution - not follower count.
How many hashtags should a LinkedIn post have?
3 to 5 targeted, relevant hashtags consistently outperform 10+ generic ones. LinkedIn's algorithm deprioritizes hashtag stuffing. The tool will flag if yours are hurting more than helping.
What's a good hashtag strategy for LinkedIn posts?
Treat hashtags as a discoverability signal, not a trending-hashtags checklist. Chasing trending hashtags or copying a competitor hashtag list rarely improves reach and engagement — relevance to your specific post is the key metric that matters more than industry engagement rates. This tool isn't built to track metrics over time; it checks whether your hashtag choices are helping or hurting this one post, in the moment you paste it.
What makes a strong LinkedIn hook?
It starts in conflict or tension - not setup. It's specific, not abstract. It raises a question the reader wants answered. And it's short: one or two lines, not three sentences of context before you say anything.
Is this tool really free?
Yes. No signup, no credit card. LinkedIQ's paid product is a full brand intelligence platform - this tool is our way of giving something genuinely useful upfront.
How is this different from LinkedIQ's predictive resonance?
This tool gives a general analysis based on LinkedIn best practices. LinkedIQ's predictive resonance is specific to you - built on your actual content history and what's resonated with your audience before. Much more accurate, much more actionable.
Do you store the posts I paste in?
No. Your draft is sent once to the model for analysis and isn't written to a database. We only keep a same-day count of how many free analyses your IP address has used, to enforce the 3-per-day limit - not the content itself.
Is the score from an algorithm or an AI model?
An AI model, prompted to evaluate hook strength, structure, and hashtags the way an experienced LinkedIn strategist would - not a fixed rule-based checklist. That makes it directional feedback, not a guaranteed prediction of how LinkedIn's algorithm will actually treat your post.
Your personal brand should sound like you.
LinkedIQ builds it from your actual writing.
LinkedIQ reads your full LinkedIn presence and tells you exactly what's working, what's hurting your personal brand, and what to write next.