How to Tailor Your CV and LinkedIn Profile to a Job Description: A 15-Minute Method

A tailored CV is the same facts, in the employer’s words. You don’t change who you are. You change the order and the words, so the person reading it, and the software searching it, can see the match in a few seconds.

This is the method I teach in my workshops, most recently with international students at Fu Jen Catholic University in Taiwan. You need one real job description, your current CV, and about 15 minutes.

The idea in one line

Your CV is tailored to one job. Your LinkedIn profile is tailored to one type of job.

You will rewrite part of your CV for every application. You will set up LinkedIn once, for the family of jobs you are aiming at, and then leave it alone.

Before you start: make a safe copy

If you plan to paste your CV into ChatGPT or another AI tool, make a copy first and delete:

• ID, residence card or passport numbers
• Date of birth and home address
• Phone number and bank details

In ChatGPT you can also turn off training on your chats: Settings → Data controls → “Improve the model for everyone” (OpenAI).

Part 1: Tailor your CV in four steps

Step 1. Paste the job description and mark it in three colours (3 minutes)

Copy the full job description, not just the title. Go through the requirements one by one and mark each:

• Green: I have proof of this.
• Yellow: I have something close.
• Red: I don’t have this.

If more than half the lines are red, this is not your job yet. Pick another one. That is targeting, not failure: sending a perfect CV to the wrong job still gets no reply.

Step 2. Circle five keywords (2 minutes)

Look for:

• The exact job title
• Words that repeat in the description
• The first three requirements, which are usually the ones that matter most

These are the words a recruiter types into a search box. Write them down.

Step 3. Change only four places (5 minutes)

1. The first line of your summary. Use the job title from the posting: “Aspiring Marketing Assistant with…”, not “Motivated student seeking opportunities”.
2. Your top three bullet points. Reorder them to match the job’s first three requirements, and use the job’s words where they are true. Each bullet follows Project → Activity → Result: where you did it, what you did, and a number. No number? Give the scale: how many people, how often, in how many languages.
3. Your skills line. List the keywords from Step 2 that you really have, spelled the way the posting spells them.
4. Your two top lines. Keep your work status and languages right under your name. For students in Taiwan, for example: “Graduating Jun 2027 · Eligible for Taiwan’s 2-year post-graduation stay (work without a work permit)”. Don’t write “No work permit required” while you are still studying; check your own case with your school’s international office.

A good rule of thumb: change about 30% of your CV for each job. Not 0%, and not 100%.

Example (a fictional student applying for a customer-facing role):

• Before: “Part-time waiter at a restaurant.”
• After: “Served 80+ customers per shift in Mandarin, English and Bahasa Indonesia at a 60-seat Taipei restaurant; trained 2 new staff on the ordering system.”

Same job, same facts. The second version shows the three things the posting asked for: customer service, languages and training others. (The numbers here are invented for the example. Yours must be your own.)

Step 4. Check with AI, without letting it rewrite (2 minutes)

Paste this, with your safe copy and the job description:

Here is a job description and my CV. List the 5 most important requirements
in order, with the exact keywords a recruiter would search for. For each one,
say strong / weak / none and quote the evidence from my CV. Do not rewrite
anything and do not invent anything.

Use the table to find gaps. For anything marked “none”, don’t force it into your CV. Either prepare how you would close the gap if asked in an interview, or choose a different job.

If you do let AI rewrite bullets afterwards, check every line with three questions:

1. Is it true?
2. Can I explain it in an interview?
3. Is the number mine?

AI tools will happily invent believable numbers. If twenty people use the same prompt without editing, a recruiter gets twenty identical CVs.

Part 2: Aim your LinkedIn profile at the job type (3 minutes)

Don’t rewrite LinkedIn for every application. Put two or three job descriptions you would apply to side by side, and look for what they share.

• Headline: use the job title that appears most often across them. Formula: Target role | Skills | Languages | What you seek. Example: “Aspiring Supply Chain Analyst | Excel, SQL | Mandarin B2 · English · Bahasa | Open to roles in Taiwan from Jun 2027”.
• Skills: add the keywords that appear in at least two of the descriptions and that you really have. LinkedIn allows up to 100 skills (LinkedIn Help).
• About: put those same words in the first two lines. Only the first lines show before “see more”.
• Open to Work: use the same job titles as your headline. “Recruiters only” is a safe default for students; it shows no green frame (LinkedIn Help).
• Location: set it to the city where you want to work. Recruiters filter by location.

Part 3: The 6-second test

Give the job description and your tailored CV to a friend for six seconds, then ask:

“What job is this person applying for, and why do they fit?”

If they can’t answer, go back to the first line of your summary and your top three bullets.

The whole method on one card

Step	Time	What you do
1	3 min	Mark every requirement green, yellow or red. More than half red → pick another job
2	2 min	Circle 5 keywords: job title, repeated words, top 3 requirements
3	5 min	Change 4 places: summary line, top 3 bullets, skills line, status and language lines
4	2 min	AI compares, doesn’t rewrite. Three questions on every line
LinkedIn	3 min	Headline, skills, first two lines of About and Open to Work aimed at the shared job title
Test	6 sec	A friend can say what job and why you fit

Where to go next

• How to write each bullet with metrics: Mirror the job description and quantify results
• Why a CV gets rejected before anyone reads it: Common auto-rejections
• Track whether tailoring raises your reply rate: The job search tracking template