Job Description Keyword Sheet for AI Resume Tailoring
Copy a job description keyword sheet for extracting keywords from a JD, mapping proof gaps, and turning the result into safe resume edit prompts after the extraction step.
Short answer
A useful JD keyword sheet is the table you use after extracting keywords from a JD. It separates required skills, repeated terms, outcomes, tools, soft signals, and missing proof so AI rewrites only evidence-backed bullets.
Job seekers tailoring a resume to one role, comparing similar JDs, preparing ATS keywords, or asking AI to rewrite bullets from a job description.
People who want to paste every word from the JD into the resume, invent skills, or hide missing requirements.
Keywords are useful only when they point to proof.
The visitor has a job description and wants a practical sheet for turning it into resume keywords and proof, not a vague keyword list.
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Create five columns before asking AI to rewrite
Use columns for JD phrase, category, why it matters, my evidence, and resume action. This keeps AI from jumping straight into generic bullets.
Prompt to use: Extract a keyword sheet from this job description with five columns: JD phrase, category, hiring signal, my matching evidence, and resume action. Leave evidence blank when I have not provided proof.Example wording: JD phrase: stakeholder reporting. Category: communication. Hiring signal: recurring executive updates. Evidence: weekly customer issue dashboard. Resume action: rewrite reporting bullet. -
Separate hard skills from outcomes
Tools and methods matter, but recruiters also scan for outcomes: reduce backlog, improve retention, ship features, increase conversion, support audits, or improve reporting quality.
Prompt to use: Split this JD into hard skills, tools, outcomes, domain knowledge, collaboration signals, and seniority signals. Rank only the terms that appear important, not every word. -
Mark evidence gaps honestly
A gap is not always a deal breaker. Label each term as strong proof, adjacent proof, learning proof, or missing. This helps you decide what to emphasize and what not to fake.
Prompt to use: Compare my experience notes with the keyword sheet. Mark each row as strong proof, adjacent proof, learning proof, or missing. Suggest safe wording for gaps. -
Add local wording before rewriting
The same skill may be written differently in an English resume, a French CV, or a bilingual application. Add a local wording column so AI keeps the ATS term but uses language a recruiter expects.
Prompt to use: For each high-priority JD phrase, add a local wording column for my target market and resume language. Keep exact tool names, adapt role wording naturally, and flag terms that sound translated. -
Use the sheet to rewrite bullets
Once the sheet is complete, ask AI to rewrite only the rows with real evidence. The result should sound natural to humans and still include the most important role language.
Prompt to use: Using only rows with real evidence, rewrite 6 resume bullets for this target role. Include JD language naturally, keep metrics defensible, and avoid keyword stuffing.
Before You Publish
- Every high-priority JD phrase has an evidence status.
- Important outcomes are separated from tools.
- Local wording is checked before AI rewrites the resume.
- Missing requirements are not hidden or invented.
- Resume bullets use JD language naturally, not mechanically.
Frequently Asked Questions
Should I include every keyword from the job description?
No. Prioritize repeated terms, required skills, outcomes, and role-specific signals. Skip filler and generic words.
Is this different from the JD keyword extraction tutorial?
Yes. The tutorial explains how to read the JD and identify signals. This sheet turns those signals into rows with evidence, gaps, and rewrite actions.
Can AI fill the evidence column?
Only from notes you provide. If no proof exists, AI should leave it blank or mark it as missing.
Is this sheet only for ATS?
No. It helps ATS matching, but the bigger value is making the resume easier for a recruiter to understand.
Can I use the sheet as a resume edit prompt?
Yes. After each keyword has proof status, paste the sheet into AI and ask it to rewrite only rows with strong or adjacent evidence.
Copy the sheet structure, paste a real JD, and map every important keyword to evidence before rewriting.
Build a JD Keyword Sheet