Free LinkedIn Profile Analyzer
Review your headline, hooks, and recent original posts. Get a score, suggested rewrites, and five prioritized fixes when your public posts can be retrieved.
- Score out of 100 across headline, hooks, content, and cadence
- A headline and hook rewrite in your own voice
- Your top 5 fixes, ranked by impact
How the LinkedIn profile analyzer works
Three steps from URL to a prioritized action plan.
Paste your LinkedIn URL
Enter your profile URL or just your username, plus the email where we should send your report. No LinkedIn login or password needed. We only read your public posts.
AI reads your headline and recent posts
We review the original posts and headline that can be retrieved. Reposts are excluded. The report uses the available sample to review hooks, topics, cadence and engagement.
Get your score and top 5 fixes
You get an overall score out of 100, a headline rewrite, a hook rewrite in your own voice, and five recommendations ordered by impact. It appears right on the page, and a copy lands in your inbox.
What the audit actually checks
Not a static profile checklist, but an analysis of the things that drive reach.
Your headline
The 220 characters under your name follow you into every comment, connection request, and search result. The audit checks whether it says who you help and how, or whether it's a job title that blends into the feed. Then it rewrites it for you.
Your hooks
LinkedIn collapses long posts, and the visible opening varies across devices and views. If your first lines don't create curiosity, the rest of the post never gets read. We grade your hook patterns across recent posts and rewrite your weakest one.
Consistency and engagement
We compute posting frequency and average engagement from the retrieved sample. Incomplete dates or counts limit those statistics. AI recommendations are suggestions to review, not predictions of reach or recruiter decisions.
LinkedIn headline examples that stop the scroll
Your headline is the one line that follows you into every comment, search result, and connection request. These illustrative examples describe different kinds of work. Adapt the structure to your goal and use only proof you can verify. For job searches, a role and relevant skills can be useful; for clients, name the service and intended reader.
Founder
Weak
CEO at Acme
Strong
I help B2B SaaS teams turn churn into expansion revenue | Founder @ Acme (cut one client’s churn 31% in 90 days)
Product manager
Weak
Senior Product Manager
Strong
Product manager shipping 0-to-1 fintech | I write about the unglamorous decisions behind shipped features
Designer
Weak
UX Designer at Studio
Strong
Product designer for early-stage startups | I turn vague Figma files into flows that convert. 40+ launches.
Sales
Weak
Account Executive
Strong
I help mid-market ops teams kill tool sprawl without a rip-and-replace | AE @ Acme, ex-founder
Marketer
Weak
Marketing Manager
Strong
Demand gen for dev tools | I turn technical products into pipeline. Built a 7-figure inbound engine at X.
Engineer
Weak
Software Engineer at BigCo
Strong
Backend engineer explaining distributed systems in plain English | ex-Stripe, now scaling payments at X
Consultant
Weak
Freelance Copywriter
Strong
Conversion copywriter for B2B SaaS | I rewrite landing pages that double demos. Booked through Q2.
Career switcher
Weak
Aspiring Data Analyst | Open to work
Strong
Data analyst, career switch from finance | I turn messy spreadsheets into decisions. 3 projects shipped, building in public.
LinkedIn About section examples
The visible opening of your About section varies by device and view. Lead with a specific point of view, not a list of adjectives, so people click to read the rest.
Marketer
Weak
Experienced marketing professional with a passion for driving results.
Strong
I have spent eight years turning technical products into pipeline. Here is what actually moves demand, and what just looks busy.
Product manager
Weak
Results-driven product manager skilled in agile and cross-functional collaboration.
Strong
I ship 0-to-1 products in regulated fintech. Most of the job is saying no to good ideas so one great one gets built.
Engineer
Weak
Passionate software engineer who loves solving complex problems.
Strong
I build payment systems that do not lose money at 3am. Currently scaling X to handle 10x the traffic it was designed for.
Want yours rewritten the same way? The analyzer above reads your real headline and recent posts, scores them out of 100, and hands you a rewrite in your own voice.
How to optimize your LinkedIn profile
A strong profile is not about a polished photo and a long summary. It is about the handful of things that actually drive reach. Here is the short version of what the audit looks for, and what to fix first.
1. Make your headline a promise, not a job title
Your headline follows you into every comment, search result, and connection request. Lead with who you help and the outcome you create, then back it with one specific proof point. "Senior Marketer" says nothing; "I turn technical products into pipeline" makes someone stop.
2. Win the first two lines of every post
LinkedIn hides everything after roughly 210 characters behind "see more". If your opening line does not create curiosity or tension, the rest of the post never gets read. Open on a concrete scene, a contrarian claim, or a surprising number, never a warm-up sentence.
3. Pick two or three content pillars and stay in your lane
Audiences follow you for a reason they can name. Choose two or three themes tied to your expertise and rotate through them. A focused feed compounds; a random one resets every time you post about something new.
4. Post on a steady cadence, not in bursts
Buffer's analysis of over two million posts found that publishing two to five times a week is the sweet spot for reach and engagement. A great post once a month loses to a good post every Tuesday. Pick a rhythm you can actually keep.
5. Anchor every post in specifics
Numbers with texture (127, not "around 100"), named moments (the Slack ping at 11pm), and real outcomes are what make a post yours instead of something any AI could have written about anyone. Specificity is the difference between credible and generic.
6. Win the first hour, and earn dwell time
LinkedIn's own engineering team has written that how long people linger on a post (dwell time) directly improves how it gets ranked in the feed. So the golden hour after you publish matters: reply to early comments and give people a reason to stop and read, not just tap like.
What this audit can and cannot tell you
The audit reviews retrievable public original posts and your headline. It cannot access private profiles or messages, edit your account, or guarantee reach. Suggested rewrites need your review. Scores are AI assessments, not validated hiring or ranking benchmarks.
Retrieval can fail or return an incomplete sample. A failed retrieval or AI service attempt is refunded; your inputs are retained. To work without retrieving a profile, use the headline generator or About generator with your own facts.
Frequently asked questions
Everything about the free LinkedIn profile analyzer.
What is a LinkedIn profile analyzer?
What does the LinkedIn profile analyzer check?
Is the LinkedIn profile analyzer really free?
Do I need to connect my LinkedIn account or share my password?
How long does the analysis take?
Why does the analyzer need my posts, not just my profile?
What if I haven't posted on LinkedIn yet?
What is a good LinkedIn profile score?
What makes a good LinkedIn headline?
How is this different from other LinkedIn audit tools?
Is this a LinkedIn profile review tool?
Don't just diagnose it. Fix it.
WriteHero learns your voice from your existing posts and writes new ones that sound like you, hooks included. See your first post before you sign up.