ApplyArc is a free resume keyword analyser that extracts critical keywords from any job description and checks whether your CV includes them. It shows keyword frequency, placement, and missing terms that could cost you interviews.
Tracking jobs does not get interviews. Actions do. Paste the job description, see exactly which keywords are missing from your CV, and fix them before the ATS ever sees it.
Free to start · No credit card required
ApplyArc is a free resume keyword analyser that extracts critical keywords from any job description and checks whether your CV includes them. It shows keyword frequency, placement, and missing terms that could cost you interviews.
You're applying to 'project manager' roles but your CV says 'team lead' everywhere. Same job, different words. ATS doesn't understand synonyms.
ATS systems are literal. They look for exact matches. If the posting says "stakeholder management" and your CV says "working with stakeholders," some systems won't count it. You need a tool that shows the gaps instantly, not another round of manual guesswork.
You can't spot what's missing by re-reading your own CV. Confirmation bias means you see what you expect, not what the ATS expects.
Not all keywords matter equally. Without ranking them by importance, you waste time adding terms that barely move the needle.
Adding keywords randomly makes your CV read like a word salad. Recruiters notice. And reject. Keyword-stuffed CVs immediately.
Drop your CV into ApplyArc. The AI parses every word, phrase, and skill. No special formatting required.
Copy the target role's posting. ApplyArc maps every requirement, qualification, and keyword to your CV content in seconds.
Get a prioritised gap list with natural placement suggestions. Summary, bullet points, or skills section. No guesswork left.
Not a vague keyword cloud. Precise, prioritised actions you can take right now.
See every keyword and phrase the job description demands that your CV is missing. No guesswork. Just a clear list of what to add.
Keywords ranked by frequency and importance. Fix the high-impact ones first so you get the biggest ATS score boost in the least time.
Every missing keyword comes with a suggestion for where to place it. Summary, a specific bullet, or your skills section. So it reads naturally.
Beyond keywords, the analyser flags formatting issues that prevent ATS systems from parsing your CV correctly. Fix both content and structure.
Not sure which keywords to prioritise? Ask the Coach. It knows which ones hiring managers actually look for in your industry. not just what's in the job description, but what separates shortlisted candidates from the rest.
🤖 AI Career Coach
"Your CV matches 14 of 23 keywords from this job description. The 3 highest-impact gaps: ‘cross-functional collaboration’, ‘data-driven decision-making’, and ‘agile methodology’. Add ‘cross-functional collaboration’ to bullet 2 in your current role. it's the #1 phrase in product manager postings this quarter."
The Coach goes beyond keyword matching. It understands industry context, role expectations, and hiring trends. So your CV doesn't just pass the ATS, it impresses the human who reads it next. That's an action system, not a word counter.
Paste a job description and see every keyword gap in your CV. In under 30 seconds. Know exactly what to fix before you hit apply.
5 AI generations per month · No credit card required
ApplyArc compares your CV against the target job description word-by-word and phrase-by-phrase. It identifies exact-match keywords the ATS is scanning for, ranks them by frequency and importance, and flags every gap. You see a prioritised list. Not a vague suggestion to 'add more keywords'.
Yes. And that's exactly why this tool exists. ATS systems are literal: if the job description says 'stakeholder management' and your CV says 'working with stakeholders', some systems won't match it. The keyword analyser shows you which exact phrases to mirror so you can tailor in minutes, not hours.
Keyword stuffing hurts more than it helps. Recruiters spot it instantly and ATS systems can penalise it. ApplyArc suggests natural placements: weaving keywords into your summary, bullet points, and skills section so they read authentically while still matching what the ATS expects.
Hard matches are exact phrases from the job description (e.g., 'Python', 'project management'). Soft matches are synonyms or related terms the ATS may also accept. ApplyArc flags both and tells you which ones are critical versus nice-to-have, so you prioritise the right changes first.
Yes. You can start with 5 AI generations per month at no cost, no credit card required. That's enough to analyse your CV against a job description, see all keyword gaps, and make your first round of fixes. Premium unlocks unlimited analyses for every application.
Get your overall CV score and see how you stack up against successful applicants.
Map your skills directly to job requirements and close the gaps.
Make sure your CV layout passes ATS parsing before you apply.
See how ApplyArc's action system compares to Jobscan's keyword approach.