Keyword Extraction: Contextual Matching
By Umut Barış Terzioğlu · · Updated
Before you can add the right terms to a CV, you have to find them. Job description keywords are the skills, tools, qualifications and job titles an employer uses to describe the role, and many applicant tracking systems compare them with the text of your CV. Getting the list right is mostly careful reading, not tricks.
Why hidden keywords backfire
An old trick is to paste the whole ad into the CV in white or tiny text. It does not help. Hidden text still ends up in the extracted text, where it shows as ordinary text to anyone who opens the parsed profile, and a recruiter who spots it will reasonably read it as an attempt to game the system. The checker on this site reports hidden or invisible text as a parseability finding. The only keywords worth having are the ones you can back up in a visible sentence.
Exact, normalised and semantic matching
Systems compare terms in different ways. Some only match the exact string, so "JS" does not count as "JavaScript". Others normalise synonyms and abbreviations, and some newer tools compare meaning. You rarely know which approach a given employer uses, so write for the strictest one: use the ad's own spelling and add the common variant once, as in "Kubernetes (k8s)". Multi-mode matching on this site runs strict, normalised and semantic matching over the same CV and ad and shows which terms make the difference.
How to extract job description keywords, step by step
- Strip the boilerplate. Copy the ad into a plain text file and delete the company description, benefits and legal text. What is left describes the role.
- Separate must-haves from extras. Words such as "required", "you have" and "must" mark requirements; "nice to have", "a plus" and "ideally" mark extras. Keep two lists.
- Pull out the nouns that name skills. Tools, technologies, methods, certifications, domain terms and the job title itself. Soft skills such as "team player" rarely work as keywords; show them through evidence instead.
- Note where and how often each term appears. A term in the job title, in the first requirements and again in the duties is central. A term mentioned once near the end is not.
- Record the exact spelling and its variants. "CI/CD", "Power BI", "Kubernetes (k8s)". Write the ad's form and add the abbreviation once.
- Check each term against your real experience. Keep only the ones you can point to. A missing term is information for you, not a word to paste in.
- Decide where each term goes. Central terms belong in your headline or summary and in experience bullets. The skills section works as an index, not as proof.
Worked example
A fictional ad excerpt: "Data Analyst. You will build dashboards in Power BI and write SQL queries against our data warehouse. Required: SQL, Power BI, stakeholder management. Nice to have: Python, dbt."
| Term | Signal in the ad | Priority | Where it goes in the CV |
|---|---|---|---|
| Data Analyst | Job title | High | Headline and summary, if it matches what you do |
| SQL | Duties and requirements | High | An experience bullet and the skills list |
| Power BI | Duties and requirements | High | An experience bullet and the skills list |
| stakeholder management | Requirements | Medium | A bullet that names who you worked with |
| Python | Nice to have | Low | Skills list, only if true |
| dbt | Nice to have | Low | Only if you have used it |
The same three required terms, before and after:
- Before: "Skills: SQL, Power BI, stakeholder management"
- After: "Built sales dashboards in Power BI from SQL queries on the company data warehouse and handled stakeholder management with regional sales leads through monthly reviews."
The second version still contains all three terms, but each one now sits next to evidence a recruiter can ask about. If you can add a measurable result, quantifying achievements on a CV shows what to count.
Do not overdo it
Repeating a term does not make you more qualified, and a person reading the CV notices the repetition. Two or three natural mentions in context are plenty. The checker here flags a term that appears far more often than ordinary writing would, and points out matched terms that appear only in the skills list and in no sentence about your work.
Once your list is ready, adding keywords to a CV covers how to place them naturally. When you add an ad to an analysis, the job ad analysis separates required from preferred skills for you.