Most “ATS optimisation” advice tells you to keyword-stuff, which ruins the resume for the human reviewer who sees it next. A good prompt finds the real overlap between JD language and your truth — without sounding like a bot.
Who this is for
Job seekers customising resumes per role, career switchers translating prior experience, candidates whose resumes get filtered out before recruiters see them.
When not to use these prompts
Don’t use these to add skills you don’t have. Don’t over-engineer formatting — most ATS handles standard formatting fine.
Prompt anatomy / structure formula
Every ATS prompt should carry six elements:
- Role: candidate, hiring manager, recruiter — name the persona AI plays.
- Context: target role, company, level, your background.
- Goal: one deliverable — analysis, script, answer, plan.
- Constraints: word count, banned phrases, must-include facts.
- Tone: confident / curious / measured — 2-3 anchors.
- Examples: paste 1-2 of your past answers or sample tone.
Best for
- Per-role resume customisation
- Keyword overlap analysis
- Bullet rewrite for action verbs
- Skills section sanity check
- ATS-safe formatting audit
12 copy-ready prompt templates
1. JD ↔ resume overlap
JD: {jd}. My current resume: {resume}. Compute keyword / phrase overlap. Output: (1) terms in JD missing from resume (top 10), (2) terms I can add HONESTLY (I actually have done this work), (3) terms I should not pretend to have.Variables to swap: jd, resume
2. Bullet rewrite per JD
For each bullet in my resume, rewrite to align with this JD if applicable: (1) Use JD verbs naturally, (2) Add quantification, (3) Cap at 25 words, (4) Skip if not relevant. Output original | rewritten | confidence.3. Skills section sanity
My skills section: {skills}. JD: {jd}. Re-order so most-relevant skills appear first, group logically (languages, tools, methods), and drop any skill I haven't used in 3+ years unless still listed in JD.Variables to swap: skills, jd
4. Action verb upgrade
Find weak verbs in this resume (helped, supported, worked on, was responsible for). Replace with stronger, more specific verbs (led, designed, shipped, scaled, decommissioned). Don't change facts.5. ATS-safe formatting audit
Audit this resume for ATS hostility: (1) Tables / text boxes that ATS can't parse, (2) Unusual fonts / icons, (3) Headers stuffed into images, (4) Two-column layouts that mangle text order. Output a fix list.6. Title alignment
My title was `{realTitle}` but JD calls a similar role `{jdTitle}`. Suggest 3 ways to add `{jdTitle}` legibly (e.g., parenthetical), without misrepresenting. Pick the cleanest.Variables to swap: realTitle, jdTitle
7. Hidden keyword test
Some advice says hide keywords in white text. Audit my resume for this — flag any white / 1px / off-page text. Recommend removal: most ATS catches it, some flag fraud.8. Quantification gap
List bullets in my resume without numbers. For each: what number could I add? (Revenue, users, latency, headcount, % change.) Don't invent — ask me what numbers I have.9. Career-switch resume
I'm switching from `{from}` to `{to}`. Identify which past experiences map to the new field. Rewrite the top bullets so the link is obvious without removing context.Variables to swap: from, to
10. Education / certs strategy
My education: `{edu}`. Certs: `{certs}`. JD requires: `{requirement}`. Decide: (a) keep prominent, (b) move down, (c) add a cert to fill the gap. Output a priority order.Variables to swap: edu, certs, requirement
11. Resume length decision
My experience: `{years}` years. Decide: 1-page or 2-page resume? For each: how to trim if 1-page, what to add for 2-page. Cite the resume audience (US tech, EU finance, China).Variables to swap: years
12. Final ATS / human readability check
Final pass: (1) Plain-text version of my resume — does it still read coherently? (2) PDF passes through one online ATS parser. (3) A human can skim it in 30 seconds and know my role and last 2 jobs.Common mistakes
- No specific context (company / role / level) — output is generic.
- Asking AI to “be honest” without your actual record — it confabulates.
- Same answer for every company — interviewers compare notes.
- No tone anchor — answers land flat.
- Skipping fact-checks — AI invents dates / numbers / titles.
- Treating first draft as final — first drafts read AI-flavoured.
- No peer / mentor review — feedback loop missing.
How to push results further
- Paste real examples to anchor AI to YOUR voice.
- Ask AI to play interviewer first; weak answers reveal themselves.
- Write 3 drafts; ship the third.
- Always read aloud.
- Save successful phrasings in a personal bank.
- Have a peer in the role review.
- Time-box practice — fatigue makes you worse.
Practical depth notes
Use these prompts as starting points, not final answers. For ATS Resume Optimization Prompts: 12 Templates Without Keyword-Stuffing, the useful extra work is to replace every generic placeholder with a real constraint: audience, channel, length, brand voice, examples to imitate, and examples to avoid. Run at least two versions with different constraints, then compare the outputs side by side instead of accepting the first polished response.
A good result should pass three checks: it is specific enough that another person could reuse it, it avoids vague praise or filler, and it gives you an editable artifact rather than a broad suggestion. If the output feels generic, add one concrete reference, one forbidden pattern, and one measurable success criterion before rerunning the prompt. Before saving a prompt as reusable, test it on one realistic input and one edge case. The realistic input proves the template can produce the normal deliverable; the edge case shows whether it handles messy constraints, missing context, or an unusual audience. Keep the better output, but also keep the failed version with a note on what was missing. That small failure log is what turns a prompt collection from a list of nice sentences into a practical working library.
FAQ
- Can recruiters tell AI-written answers?: Yes when generic. Specifics are the antidote.
- How much research is enough?: 60-90 minutes for an important interview. Beyond, returns diminish.
- When to start salary research?: Before applying. Negotiation that begins after the offer is weak.
- Should I use levels.fyi / Glassdoor numbers?: Yes as a baseline, with caveats. Validate against 2-3 sources.
- How to keep prep notes organised?: One doc per company: research, questions to ask, story bank fits.
- How often to refresh research before final?: Quick re-scan day of interview — news / launches in the past week.
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Tags: #Prompt #Job search #ATS #Resume