LinkedIn Keyword Optimizer

• Keyword map

  See exactly where each keyword appears — Headline, About, Experience, Skills — and how many times.

• Your own target keywords

  Score the keywords you want to be found for, not a fixed list of 50 you'd never all use.

• Keywords from a job post

  Paste a job description and we extract its most important keywords for you.

• Stuffing check

  We flag any keyword repeated too often in one section — it reads as spam to people.

• Accurate matching

  Whole-word matching: “Go” no longer matches “good”, and “SQL” no longer matches “NoSQL”.

• Section-by-section check

  Character counts, keyword hits, and issues for your headline, About, experience, and skills.

• Transparent score

  See how your score adds up — placement, sections filled in, and any stuffing penalty.

• Import & save

  Import your profile from the Profile Analyzer. Your work is saved and synced when you sign in.

Characters available in your headline

220

Characters available in your About section

2,600

Characters per experience description

2,000

Maximum skills you can add to LinkedIn

100

Top skills you can feature in About

5

More profile views for members with 5+ skills (LinkedIn)

17x

Industry keyword libraries in our tool

8

Profile sections checked separately

4

1. 01

   Choose Your Industry

   Select from 8 industries — Software, Data, Marketing, Design, Product, Finance, HR, or Sales — and enter your current and target role.

2. 02

   Paste Your Profile Text

   Paste your headline, About, experience, and skills into their own boxes — or import them from your Profile Analysis.

3. 03

   Pick Your Target Keywords

   Add the keywords you want to be found for — from a job post, the industry library, or your own.

4. 04

   Fix the Gaps

   See your keyword map, missing keywords, stuffing warnings, and exactly where to place each keyword.

• In your headline + another section

  100%

  Full credit — the strongest placement.

• In 2+ of About, Experience, Skills

  80%

  Strong — the keyword is part of your story and your skills.

• Only in About or Experience

  60%

  Good — add it to Skills too.

• Only in Skills

  40%

  Weakest — show where you used it.

• Sections filled in

  15 pts

  Headline, 100+ word About, 50+ word Experience, 5+ skills.

• Keyword stuffing

  −5 each

  Each keyword repeated too often in one section.

• Very high

  Headline (220 chars)

  Your headline appears in search results, connection requests, comments, and messages. It's one of the first things matched and seen — put your most important keyword here.

• Very high

  Current Job Title

  Recruiters search by title. If your official title is non-standard (like 'Growth Ninja'), add the standard industry term in your description or headline. Recruiters search for standard titles.

• High

  About / Summary Section

  With 2,600 characters, your About section is your largest keyword opportunity. Naturally weave in your key terms while telling your professional story.

• High

  Skills Section (100 max)

  Skills are directly filterable — recruiters can require specific skills. Each skill is a searchable keyword. Having the right skills can put you in searches you otherwise would never appear in.

• Medium

  Experience Descriptions

  Job descriptions add keyword depth and proof. Use industry-specific terms in your bullet points. Past roles add more keyword coverage to your profile.

• Bonus

  Certifications & Recommendations

  Certifications add specific terms like 'AWS Certified' or 'PMP' that recruiters actively look for. Recommendations that mention your skills back up your keywords.

• Software Engineering

  JavaScriptPythonReactNode.jsAWSDockerKubernetesCI/CDREST APIMicroservicesTypeScriptSystem DesignAgileGit

• Data Science & Analytics

  PythonSQLMachine LearningTensorFlowDeep LearningNLPData VisualizationStatisticsPandasPyTorchA/B TestingBigQueryTableauR

• Marketing & Growth

  SEOContent StrategyGoogle AnalyticsPPCSocial MediaEmail MarketingHubSpotCopywritingBrandingLead GenerationMarketing AutomationCROB2B Marketing

• Design & UX

  FigmaUser ResearchWireframingPrototypingDesign SystemsUsability TestingAccessibilityInteraction DesignAdobe XDUI DesignDesign ThinkingInformation Architecture

• Product Management

  Product StrategyRoadmapAgileUser ResearchA/B TestingOKRsStakeholder ManagementPRDGo-to-MarketScrumProduct AnalyticsCustomer DiscoveryJira

• Finance & Accounting

  Financial ModelingValuationExcelBloombergRisk ManagementPortfolio ManagementM&ADue DiligenceCFAGAAPFinancial AnalysisBudgetingForecasting

• Human Resources

  Talent AcquisitionHRISEmployee RelationsPerformance ManagementWorkdayCompensationDEIOnboardingBenefits AdministrationLabor LawSHRMSuccession Planning

• Sales & Business Dev

  B2B SalesSalesforceCRMPipeline ManagementAccount ManagementNegotiationCold OutreachRevenue GrowthSaaS SalesEnterprise SalesLead QualificationForecasting

1. 01

   Step 1: Research Your Target Keywords

   Open 5-10 job postings for your target role on LinkedIn Jobs. Note which skills, tools, and job titles appear in 3+ postings — these are your must-have keywords. Paste a posting into our tool to extract its keywords instantly, and check profiles of people already in the role.

2. 02

   Step 2: Run the Keyword Optimizer

   Paste your headline, About, experience, and skills into the tool and add your target keywords. Review the keyword map, identify missing high-priority keywords, and note the suggested placement for each one. This gives you a clear action plan.

3. 03

   Step 3: Optimize Your Headline First

   Your headline is visible everywhere and one of the first things matched in search. Formula: [Job Title] | [Value/Specialty] | [Top 2-3 Keywords]. Example: ‘Senior Product Manager | B2B SaaS Growth & Strategy | Data-Driven, User-Centric, Agile’.

4. 04

   Step 4: Keyword-Enrich Your About Section

   Weave 10-15 keywords naturally into your About section. Mention your top keywords once or twice each — in the context of real achievements. The first 3 lines should contain your most important keywords since they show before ‘See more’.

5. 05

   Step 5: Optimize Experience Descriptions

   For each role, include 3-5 bullet points with measurable achievements that naturally contain industry keywords. Use exact terms from job postings: ‘Led cross-functional team of 12 to launch SaaS product, increasing ARR by 45%.’ Note: ‘SaaS’, ‘ARR’, ‘cross-functional’ are all searchable.

6. 06

   Step 6: Build Out Your Skills Section

   LinkedIn allows up to 100 skills. Add every relevant, exact-match keyword you can back up. Feature your top 5 in your About section, link skills to the roles where you used them, and ask colleagues to endorse your most important ones.

7. 07

   Step 7: Add Keyword-Rich Certifications

   Each certification adds specific searchable keywords. ‘AWS Solutions Architect’, ‘Google Analytics Certified’, ‘PMP’ — these are terms recruiters look for directly. LinkedIn Learning completions count too. Add all relevant credentials.

8. 08

   Step 8: Re-Run and Monitor

   After making changes, check your updated score — it updates as you edit. Set a quarterly reminder to re-analyze: industry keywords shift, new tools emerge, and your career goals evolve. A profile optimized last year may have gaps today.

• Headline

  220 characters

  Include job title + 2-3 top skills separated by |. Use the exact words recruiters search for.

  Senior Data Scientist | Python & ML | Building AI Products at Scale

• About Section

  2,600 characters

  Your largest keyword canvas. Weave keywords into achievement stories. Use your top keywords once or twice — in context.

  ...specializing in machine learning, NLP, and computer vision. Built ML pipelines processing 10M+ records...

• Experience

  2,000 chars per role

  Use standard job titles. In descriptions, embed keywords in achievement bullet points, and attach the skills you used to each role.

  Led product analytics team, implementing A/B testing framework that increased conversion rate by 28%...

• Skills

  100 skill slots

  Each skill is a directly filterable keyword. Add every relevant one you can back up and feature your top 5 in your About section.

  Python, Machine Learning, SQL, TensorFlow, Deep Learning, NLP, Data Visualization, Statistics...

• Certifications

  Unlimited entries

  Each cert adds specific searchable keywords. Add credential IDs for authenticity.

  AWS Solutions Architect - Associate, Google Data Analytics Certificate, IBM Data Science Professional...

• Recommendations

  Written by others

  Ask recommenders to mention specific skills — it backs up the keywords you use yourself.

  Ask: 'Could you mention my work with Python, ML pipelines, and cross-functional leadership?'

• Keyword stuffing in headline

  Fix: Write naturally. Use 3-5 keywords max in headline, separated by | for readability

• Using creative job titles only

  Fix: Add standard titles: 'Growth Ninja (Marketing Manager)' so recruiters can find you

• Keywords only in the Skills section

  Fix: Spread keywords across headline, about, experience, AND skills for maximum coverage

• Using abbreviations without full terms

  Fix: Write both: 'Search Engine Optimization (SEO)' — recruiters search for either form

• Ignoring competitor profiles

  Fix: Check profiles of people in the role you want. Note which keywords they use that you are missing

• Never updating keywords after career pivot

  Fix: Add target-role keywords as soon as you start changing careers

• Copying keywords from one job posting

  Fix: Research 5-10 postings. Keywords appearing in 3+ listings are your must-haves

• Forgetting about recommendation keywords

  Fix: Ask recommenders to mention specific skills that back up your keywords

• Using generic terms like 'hard worker'

  Fix: Use specific, searchable terms: 'Python', 'Agile', 'Data Visualization', 'Revenue Growth'

• Not tracking keyword performance

  Fix: Re-run keyword analysis quarterly. Monitor profile views and search appearances in your LinkedIn dashboard

• AND"Product Manager" AND "B2B SaaS"

  Both terms must appear in your profile. If a recruiter searches this and you only have 'Product Manager' but not 'B2B SaaS', you will NOT appear in results.

• ORPython OR R OR Julia

  Any of the terms will match. Recruiters use OR to broaden searches for similar skills. Having multiple synonyms in your profile increases your match rate.

• NOT"Software Engineer" NOT Junior

  Excludes profiles containing the NOT term. If 'Junior' appears in your profile and a recruiter uses NOT Junior, you are excluded. Be careful with qualifier words.

• Quotes """Machine Learning Engineer"

  Searches for the exact phrase. Your profile needs the exact phrase — 'ML Engineer' will NOT match "Machine Learning Engineer".

• Parentheses ()(Python OR R) AND "Data Science"

  Groups conditions. Complex recruiter searches combine multiple operators. Your profile needs to satisfy the whole expression to appear in results.

• LinkedIn SEO: Keywords That Get You FoundMake your profile show up in more searches.
• How Recruiters Search LinkedIn (Boolean)How recruiters actually find candidates.
• LinkedIn Profile Keywords: Complete GuideFind and place the right keywords.
• LinkedIn Algorithm Explained for Job SeekersWhat helps your profile get seen.
• LinkedIn Headline KeywordsGet your top keywords into your headline.
• LinkedIn for Career Changers: Keyword StrategyShow up for your new field.
• LinkedIn Boolean Search TutorialAND, OR, NOT, and quotes explained.
• Optimize LinkedIn Profile for ATS and SearchKeywords for recruiters and applicant tracking.

Must-Read Articles on LinkedIn Keywords

Deep-dive resources from LinkedIn experts and career coaches.

• Skills AnalyzerAudit your skills section and find gaps for your target role
• Headline OptimizerScore your headline and check it against a job post
• Profile AnalyzerGet a complete profile audit with section-by-section scoring
• About WriterWrite an About section that works your keywords into your story
• Resume Keyword MatcherMatch your resume keywords to a job description
• Profile ChecklistEnsure every keyword-rich section of your profile is complete

• Use LinkedIn's autocomplete in the search bar to discover what people actually type — start typing a skill and see suggestions

• Add both the acronym AND the full term: 'Search Engine Optimization (SEO)' — recruiters search for both forms

• Check your profile views and search appearances after keyword changes — a rise suggests your keywords are working

• Your public LinkedIn profile can rank on Google — a keyword-optimized profile helps you show up for your name + profession

• Your LinkedIn dashboard shows how many times you appeared in search — watch it after every update

• Add industry-specific terms that insiders use — 'ARR', 'MQL', 'Sprint Velocity' — they show real experience

• Posts and comments show in your Activity, but recruiters mainly search profile sections — put your keywords there

• Run the Keyword Optimizer before AND after every profile update to measure your improvement

Ready to rewrite? Our Headline Generator and About Writer work your keywords into your headline and story.