FitToHire: Resume Job Match Score, ATS Checker & Gap Analysis

YOU'RE APPLYING TO JOBS THAT WILL NEVER CALL YOU BACK. Not because you're unqualified. Because your resume doesn't speak their language. The job says "Kubernetes." Your resume says "container orchestration." You have the skill. But the recruiter's search doesn't find you. Your application goes into a black hole. You never hear back. You start wondering if you're even qualified. You are. Your resume just doesn't prove it in the right words. That's what FitToHire fixes. WHAT THIS EXTENSION DOES While you browse job listings on any site — LinkedIn, Indeed, Glassdoor, or your dream company's career page — FitToHire reads the job description and compares it against your resume. Not by counting keywords. By actually understanding whether your experience satisfies each requirement. Then it tells you three things: 1. YOUR MATCH SCORE — Are you actually qualified for this job? Not a guess. A requirement-by-requirement analysis that checks whether your experience covers what they're asking for, even when you used completely different words. 2. YOUR ATS VISIBILITY — What percentage of the job's keywords will a recruiter's screening software actually find on your resume? This is the number that determines whether a human ever sees your application. Most people are shocked by how low this is. 3. YOUR GAPS — Exactly which requirements you're missing, ranked by importance. Not a vague "you need more experience." Specific skills, specific phrases, specific fixes. WHY THIS ISN'T JUST ANOTHER RESUME SCANNER Most resume tools — even the ones that say "AI-powered" — work the same way: they use an LLM to pull keywords from the job description, pull keywords from your resume, and compare the two lists. Keyword in both? Match. Keyword missing? Gap. It's smarter than a basic word search, but it's still comparing WORDS, not understanding REQUIREMENTS. Here's where that breaks down. The job says "10+ years managing production infrastructure." There's no keyword there. It's a sentence about experience. An LLM keyword extractor might pull out "production infrastructure" as a phrase. Your resume says "15 years leading DevOps engineering across enterprise environments." Different words entirely. Keyword match? Zero. But are you qualified? Obviously. Or the job says "Proven success delivering multitower programs across infrastructure, cloud, security, and application domains." Try extracting a keyword from that. It's a leadership requirement described as a sentence. Your resume is full of exactly this experience — but described in YOUR words, not theirs. This is especially common in executive and senior roles, where job descriptions are written in phrases and paragraphs, not skill bullet points. Keyword tools — even LLM-powered ones — fall apart because there are no clean keywords to extract. FitToHire works differently. Two engines, working together: SEMANTIC UNDERSTANDING — For each requirement line in the job description, our entailment model reads it as a complete thought and checks it against your entire resume. Not "does the word appear?" but "does this person's experience satisfy this requirement?" It understands that "architected multi-cloud deployment pipeline" satisfies "cloud infrastructure experience." No keyword needed. KEYWORD PRECISION — At the same time, we check every specific keyword. Because even when you're qualified, the recruiter's ATS software doesn't understand sentences — it searches for words. If the job says "Terraform" and your resume says "infrastructure as code," you have the skill but you're invisible to the screening software. We catch that and tell you exactly where to add the word. No other tool combines both. Keyword tools miss the sentences. LLM tools miss the specific words. We catch both, and we tell you which type of gap each one is — so you know whether you need to add a keyword or whether you're genuinely missing the experience. HERE'S WHAT IT ACTUALLY LOOKS LIKE You're on LinkedIn. You see a Senior DevOps Engineer role. Click "Add to FitToHire." Open your dashboard. Your report shows: Match Score: 72% ATS Visibility: 34% Gaps: 6 requirements That 34% ATS visibility means two-thirds of your qualifications are INVISIBLE to the recruiter's search. You have the experience. Your resume just doesn't use their words. The report breaks it down requirement by requirement: "5+ years cloud infrastructure experience" — MATCHED Your resume: "8 years designing multi-cloud architectures" FitToHire caught this. A keyword search would have missed it. "Experience with Terraform" — MISSING KEYWORD You have infrastructure-as-code experience but the word "Terraform" isn't on your resume. Fix: Rewrite your infrastructure bullet to name Terraform where you actually used it. Adding it to a skills list reads as stuffing — modern ATS penalizes that. "CI/CD pipeline experience" — EASY FIX Your resume mentions "automated deployment pipelines" — same thing, wrong words. Fix: Change "automated deployment pipelines" to "CI/CD pipelines for automated deployment." Same experience, right keyword. Each gap comes with a specific, paste-ready resume line. Not generic advice. An actual sentence you can copy into your resume that weaves the missing keyword into your real experience. HOW TO USE IT 1. BROWSE — Go to any job listing on any site. The "Add to FitToHire" button appears automatically in the panel when a job posting is detected. 2. SAVE — Click the button. The job title, company, and full description are captured instantly. No copy-pasting. Jobs queue up in the side panel as you browse - pin it open, add five jobs in two minutes, work through your list. 3. SCORE —Two ways. From the side panel, hit "Score" on any row or "Score all" to analyze your whole queue at once — every job gets scored against your resume without leaving the page. Or from the dashboard, score any saved job individually or inbatch. 4. REVIEW — Full report for every …