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AI Prompts for Job Descriptions That Attract

A job description is a piece of persuasion with a compliance duty. It has to tell a strong candidate why this role, what they will actually do and achieve, what is genuinely required, and what the process and pay look like — and it has to do that without the boilerplate, the laundry list of duties, the twelve requirements that only the previous incumbent met, and the language that signals who is not welcome.

This page keeps the original rewrite prompt as the fast version and adds two around it: building a JD from a success profile so it is outcomes-first from the start, and auditing a draft for the requirements and wording that reduce the applicant pool without improving fit.

Before you use these

Have these ready to replace the highlighted [variables]:

The prompts

1. Rewrite a job description to attract strong candidates

Best forTurning an existing JD into one that leads with mission and outcomes.
Inputs needed
  • JD or role details
  • Salary range
How to use itThe original prompt from this page. Paste the JD as it is; the rules in the prompt do the reshaping.
Expected outputA rewritten JD: mission opening, 5–7 first-year outcomes, honest requirements (max 6) with nice-to-haves separated, salary range, and a closing that describes the process.
Act as an employer-brand copywriter. Rewrite this job description to attract strong candidates: [paste JD or role details]. Rules: open with the mission of the role (not the company boilerplate), 5-7 outcomes for the first year instead of a laundry list of duties, honest requirements (max 6, separate nice-to-haves), salary range [range], and a closing that tells candidates exactly what the process looks like.

2. Build a JD from the success profile

Best forWriting the JD from outcomes and capabilities so it never inherits a duties list.
Inputs needed
  • Success profile
  • Must-haves and nice-to-haves
  • Team and role positioning
How to use itGive the profile and the requirements from intake. The model writes the JD and shows which line supports each outcome.
Expected outputJD with mission, outcomes, how the work happens, requirements with equivalents, what we offer (specific), process and pay — plus a map from each section to the profile.
You are writing a job description for [role] at [company] from a success profile.

Success profile: [first-year outcomes, capabilities, evidence]
Requirements: [must-haves with equivalents; nice-to-haves]
Positioning: [team, scope, what is distinctive, working model, growth, salary range, process steps and timeline]

Write the JD:
1. Mission: two sentences on what this role exists to achieve and why it matters now.
2. What you will achieve in year one: the outcomes, as the candidate would experience them.
3. How the work happens: team, tools, rhythm, who they work with — specific, not adjectives.
4. What we are looking for: the must-haves with the equivalent routes stated; nice-to-haves clearly separated and short.
5. What we offer: concrete (compensation range, growth, flexibility, learning), no perks lists as a substitute for substance.
6. The process: steps, timeline, who they meet, when they hear back.
Then: a map from each section to the profile element it serves; any claim we should verify before publishing (growth promises, timeline).

3. Audit a JD for what turns qualified people away

Best forFinding the requirements, language and omissions that shrink the applicant pool without improving fit.
Inputs needed
  • Draft JD
  • Must-haves from intake
How to use itPaste the draft. The model checks requirements against the intake, flags exclusionary or proxy language, and tests for the information candidates need and rarely get.
Expected outputLine-level findings by category with rewrites, the requirements to cut, the omissions to add, and a readability check.
Act as a recruiting quality reviewer auditing a job description for [role].

Draft JD: [paste]
Must-haves agreed at intake: [list]

Report findings with the line quoted and a rewrite:
1. Requirement creep: requirements not on the must-have list, credential proxies (years, degrees, named employers), and 'unicorn' combinations; the cut or the equivalent to add.
2. Language: terms that signal a narrow profile without job relevance (gendered or age-coded words, 'rockstar', 'native speaker', 'digital native'), aggressive tone, vague culture claims; neutral rewrites.
3. Missing information candidates use to decide: salary range, location/remote reality, process and timeline, who the role reports to, what success looks like.
4. Honesty: promises (growth, autonomy, impact) that cannot be evidenced, and how to state them truthfully.
5. Accessibility and readability: length, structure, jargon, reading level.
6. Legal flags to check with HR/legal for the jurisdiction (pay transparency, required statements), stated as items to verify, not advice.
Then a summary: the three changes with the largest effect on applicant quality and pool breadth.

Related prompts

Logical next step

After this, most HR teams move on to Role Intake and Success Profiles.

Get the free HR & Recruiting AI Starter Kit → Nine of these prompts as an intake → assess → offer hiring workflow with an intake worksheet, delivered by email. See what's inside

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