Paste a job ad and upload your CV. You get three scores at once: keyword match, semantic relevance and how an AI screener reads you, plus the keywords you are missing. No signup, no card. When you want to tailor the whole CV to that exact job, it is one click away.
Drop here or click
.docx or .pdf, max 5MB
.docx recommended. PDF supported but yields lower fidelity.
Paste the ad text or URL. Minimum 100 characters.
ATS stands for Applicant Tracking System, the software recruiters and companies use to filter applications before a human ever reads them. An ATS score shows how well your CV matches a specific job ad, both on keywords and on substance. If the score is low you are often screened out before the recruiter even opens your CV.
Most tools give you a single keyword-match percentage and stop there. careerify computes three layers at once. Keyword match counts how many of the ad's keywords actually appear in your CV. Semantic relevance compares meaning, not just exact words, so "lead team" matches "people management" even when the keyword counter misses it. AI screener is an LLM that reads your CV plus the ad the way a human recruiter would on a first quick pass. Together they show why you rank the way you do, and exactly which keywords are missing.
Mirror the ad's language: if the ad says "FP&A", write "FP&A", not "financial planning", robots match exact strings. Make outcomes concrete: replace "was responsible for" with a measurable result, which lifts both the semantic layer and how a human recruiter reads you. Tailor your CV per application: a master CV that fits every job fits none. careerify tailors the CV to the exact ad you paste in, without inventing anything you have not done.
An ATS starts by converting your document into plain text. Then it reads top to bottom, left to right, and tries to map the text into fields: name, contact details, work history, dates, titles and skills. What breaks parsing is multi-column layouts, tables, graphics, logos and text placed in headers or footers, that content often lands in the wrong field or disappears entirely. This is why a single-column .docx with real, selectable text almost always beats a beautifully designed or scanned PDF. Use standard section headings like "Work experience" and "Education" so the system finds the right section.
| Capability | careerify | Jobscan | Teal | ChatGPT |
|---|---|---|---|---|
| Keyword ATS score | Yes | Yes | Yes | Partial |
| Semantic relevance beyond exact words | Yes | Partial | Partial | Yes |
| AI-screener read like a recruiter | Yes | No | No | Partial |
| Tailors and rewrites the CV to the ad | Yes | No | Partial | Yes |
| Flags fabrication, never invents experience | Yes | No | No | No |
| Score without an account | Yes | Partial | No | Yes |
| Free to start | Yes | Yes | Yes | Yes |
Yes Partial No
Reflects typical free-tier capabilities as of 2026; features vary by plan, check each tool for the latest.
careerify was first tested on the founder's own CV. The same experience, the same roles, the same facts, scored low against some ads and high against others. The difference was not what the CV contained, but what it led with. Reframed from a broad generalist headline to a tighter specialist one, the exact same background scored well for a different, tighter set of roles. Nothing was invented, nothing was removed. That is the whole point of the positioning analysis: your profile ranks differently depending on which job you aim it at.
careerify is the honest CV tool: it tailors your CV to the job and shows the keywords you are missing, but never invents experience you do not have.
See how the positioning analysis works →No. The ATS score, the keyword analysis and a preview of a tailored cover letter are free without signup. An account is only needed if you want to download the tailored CV, generate personal cover letters, or automate follow-up sending.
Jobscan and similar tools mainly give a keyword-match percentage. careerify shows the same number but adds two layers: a semantic relevance score and an AI-screener judgement, so you can see whether the issue is keyword gaps or a positioning problem.
Some tools encourage adding keywords you do not actually cover. It gets through the ATS but lowers you with a human recruiter and can destroy your credibility in the interview. careerify flags keywords you are missing, but it never suggests writing in something you have not done.
.docx (recommended, better text-extraction quality) and .pdf. If your CV is an image or a scanned PDF, extraction can be poor. .docx gives the highest accuracy.
The anonymous ATS score does not save your CV. When you create an account, your CV and approved facts are stored in your personal knowledge bank, which you can delete at any time (GDPR).
Common ones in the Nordics are Teamtailor, Workday, SmartRecruiters, Varbi and ReachMee. They differ in interface, but the parsing rules are the same: plain text, a simple layout and standard headings read best, whatever the system.
There is no universal pass mark, different systems and recruiters set different thresholds. What matters is mirroring the ad’s must-have keywords. careerify’s three scores show whether it is a keyword gap or a positioning problem, so you know what to actually fix.
Not always. Some systems auto-rank candidates, others are only used so a human can filter manually. A low score alone rarely triggers a hard auto-reject, but it does lower the chance that a recruiter reads you further.
.docx is the most reliable for text extraction. A text-based PDF is usually fine. Avoid scanned PDFs or PDFs that are images, where the ATS may fail to read the text at all.