Paste your LinkedIn profile text and see exactly which keywords you're using — and which you're missing.
LinkedIn operates its own search algorithm — similar to Google in many ways. When a recruiter, buyer, or collaborator searches for a specific skill or role, LinkedIn ranks profiles based on keyword relevance, connection proximity, and engagement signals.
The problem is that most professionals write their profiles in natural prose — ignoring the keywords that decision-makers actually search for. If your Headline says "Helping companies grow" but never mentions "B2B sales" or "revenue," you'll be invisible in those searches.
Keyword density analysis gives you a data-backed view of what you're signaling to the algorithm — and what you're missing. Small edits to your Headline and About section can dramatically expand your discoverability.
Paste your real profile text
Copy your Headline, About section, and key experience descriptions directly from LinkedIn and paste them into the three fields.
Read the frequency table
The top 30 words reveal what your profile is actually about. Dominant words (>5%) may need synonyms. Missing important role terms is a red flag.
Check your detected role
The tool auto-detects your professional category from your keyword patterns. If it's wrong, that's a sign your profile lacks enough role-specific language.
Add missing keywords naturally
For each missing keyword, add it to the recommended section in a natural, readable sentence. Never keyword-stuff — LinkedIn reads for quality too.
Re-analyze after editing
Once you've updated your profile, paste the new text back in to confirm your keyword density improved and the missing terms are now covered.