Match-Score: My CV ↔ Job ad

The Match Score compares your CV with the text of a job posting and calculates a match assessment from it. Instead of just providing a single number, the tool specifically shows which requirements from the posting are already covered in your CV and where gaps exist, broken down by individual criteria rather than as a blanket overall rating. The overall figure is made up of four sub-scores: skills and technical requirements count for half, the profession itself for a quarter, the required language level for 15 percent, and the region or federal state for 10 percent. This makes the score a more accurate reflection of how your profile fits the position than a simple match on individual keywords could be.

This helps in two ways: before applying, you see whether the effort for this specific position is worthwhile, and you recognize which strengths you should particularly emphasize in your cover letter. If you're checking several job postings in parallel, the score also helps with prioritization: positions with a high match generally deserve more time in preparing the cover letter than positions with many open gaps. For the language dimension, the tool automatically detects the levels from A1 to C2 mentioned in both the posting and your CV and compares them: if your level exceeds the requirement, this counts in your favor, and if it falls just short, that is scored on a scale rather than counted as a flat gap.

For gaps, such as missing work experience or a recognition procedure still pending, the Match Score also provides guidance on how to address them in the application process, instead of leaving them unmentioned and being caught off guard in the interview. Depending on the overall result, you receive a matching recommendation, ranging from applying soon for a very strong match to considering a career-change cover letter or retraining when the overall fit is low. The tool deliberately checks only job-related criteria and makes it transparent that traits such as age, gender, photo, country of origin, religion, or disability play no role in the assessment.

This demo feature operates as described in our privacy policy and uses your CV exclusively for comparison within this session. The current version is based on heuristic keyword matching; an extended analysis using TF-IDF, synonym detection, and semantic embeddings is planned for a later stage. If the score points to larger gaps, it's often worth checking the CV editor or the cover letter editor to fill in the missing points before you send off the application.

Below the percentage result, you can also have the job posting's requirements checked in detail. This AI-powered analysis sorts the individual requirements into categories such as work experience, language level, hard skills, driver's licence, and soft skills, shows which of them your profile already covers, and provides a concrete bridging suggestion for each open gap, such as a language course with a realistic timeline or a short training course. Instead of another percentage, this section deliberately shows a count of requirements met, because some criteria, such as the required language level or a driver's licence, can't be offset by other strengths. Such mandatory criteria are therefore flagged separately as open, rather than disappearing into a single overall figure. This section is optional and uses the text you've already entered, so there's no need to paste it again.