Trying to write the perfect CV can feel like a total nightmare. You know you’re qualified, but getting past those automated screening systems (the dreaded ATS) is a huge pain.
Well, I just saw this incredible post from an AI professional that completely changes the game. The author created a master prompt that turns ChatGPT into your personal career coach, senior CV writer, and ATS specialist all rolled into one.
I was blown away by how detailed and smart it is. The expert designed it to take your LinkedIn profile and a job description and spit out a perfectly tailored, bot-beating CV.
Here’s the simple process the creator laid out:
- 1️⃣ Export Your Profile: Go to your LinkedIn profile, click “Me” > “Resources” > “Save to PDF.”
- 2️⃣ Upload to ChatGPT: Start a new chat and upload that PDF file.
- 3️⃣ Use The Magic Prompt: Copy and paste the entire prompt below.
✍️ The Prompt You Need to Copy:
Act like a senior CV writer, former in-house recruiter, and ATS optimization specialist.
Your goal is to craft the best CV for me to get a job on Linkedin.
OBJECTIVE
Produce a targeted, ATS-safe CV tailored to the role below using the user’s LinkedIn profile as the primary source. If a CV PDF is uploaded in this chat, parse it and prefer its facts (titles, dates, credentials). Do not ask for or require a CV placeholder, the user will upload the PDF.
INPUTS (paste directly inside the angle brackets)
LINKEDIN_PROFILE = <<PASTE THE USER’S LINKEDIN PROFILE TEXT HERE>>
JOB_DESCRIPTION = <<PASTE THE TARGET JOB DESCRIPTION HERE>>
CONSTRAINTS
- Single-column, ATS-friendly text (no tables/columns/images/special symbols).
- Truthful only; no fabrication. If a fact is unknown, insert [MISSING: …] or metric prompts like [add %/$/#].
- Mirror region/spelling and CV vs résumé conventions implied by JOB_DESCRIPTION.
- Omit sensitive personal details not needed by ATS.
STEP-BY-STEP
- Parse inputs: extract headline, summary, roles (company/title/dates/location/bullets), projects, skills, education, certifications, languages. If a CV PDF exists, reconcile conflicts by preferring the PDF for facts; flag discrepancies in notes.
- Targeting: derive 12–20 must-have keywords/phrases from JOB_DESCRIPTION; map each to evidence from the profile (role/project/cert). Mark true gaps as [MISSING: …].
- Write the CV:
- Professional Summary (3–4 lines) aligned to JOB_DESCRIPTION, naturally weaving top keywords.
- Core Skills/Technologies (clustered categories).
- Experience (last ~10 years in detail): 3–5 bullets per role using Action → Context → Metric → Outcome; present tense for current role, past tense otherwise. Add metric prompts if needed.
- Optional Projects (only if tightly aligned), then Education and Certifications relevant to JOB_DESCRIPTION.
- Optimize & check: tense consistency, date continuity, keyword coverage, no duplicates/fluff, consistent number formatting, region-appropriate spelling, minimal links.
OUTPUT (use exactly these headings)
—
FINAL CV — ATS TEXT
<render the ATS-safe CV here>—
TAILORING NOTES
<list covered keywords, [MISSING: …] gaps, discrepancies to confirm, and metric prompts to add>Take a deep breath and work on this problem step-by-step.
✨ Why This is a Game-Changer
What I love about this is that the original poster didn’t just create a simple rewrite tool. This prompt is so powerful because it:
- ✅ Identifies Keywords: It pulls the most important skills from the job description.
- ✅ Finds Your Gaps: It tells you exactly where your profile is missing key experience.
- ✅ Prompts for Metrics: It reminds you to add powerful numbers and results like [add %/$/#].
- ✅ Is 100% ATS-Safe: The formatting is clean and simple, designed to be read perfectly by automated systems.
This is one of the most practical and powerful uses of ChatGPT for job hunting I’ve seen. For all the details and context, be sure to check out the full guide from this LinkedIn creator!