Written by the AIKit Editorial Team — practitioners who tested ChatGPT, Claude, Perplexity AI, and Notion AI across 200+ real HR workflows.
Why job descriptions fail — and how ChatGPT fixes it
Most job descriptions fail at the same points: they're too long, full of vague requirements ("strong communication skills"), list-heavy without personality, and written for the company rather than the candidate. The result is a high volume of unqualified applicants and few strong ones.
ChatGPT doesn't solve this by magic — it solves it by giving you a structured starting point you can edit, rather than a blank page you have to fill. The 3-prompt workflow below produces a complete, inclusive, compelling JD in under 10 minutes.
The 3-prompt job description workflow
Prompt 1 — How do I generate a job description draft with ChatGPT?
Start with the basics. You don't need a perfect brief — give ChatGPT the job title, the team it sits in, and 5–7 key responsibilities. It generates the full structure, which you refine in subsequent prompts.
Write a job description for a [Job Title] role at a [company type — e.g. Series B SaaS startup / mid-size regional accounting firm]. The role sits within the [Department] team and reports to the [Manager Title]. Key responsibilities: [list 5–7 bullet points]. Must-have requirements: [list 3–5]. Nice-to-have skills: [list 2–3]. Format with standard sections: About the Role, What You'll Do, What You Bring, and What We Offer. Keep it under 500 words. No jargon.
Prompt 2 — Can ChatGPT make job descriptions more inclusive?
Requirements language is where most JDs exclude qualified candidates unnecessarily — degree requirements that aren't needed, years-of-experience thresholds that correlate with age, and masculine-coded language that deters female applicants. ChatGPT rewrites these systematically.
Review this job description for language that may unnecessarily exclude qualified candidates. Specifically: (1) Remove or make optional any degree or credential requirements that don't reflect the actual job, (2) Replace masculine-coded adjectives (e.g. "aggressive", "dominant", "competitive") with neutral alternatives, (3) Change "X years of experience" to competency-based language where possible, (4) Flag any other requirements that may create demographic barriers. Return the revised description with a brief note explaining each change. [Paste the job description from Prompt 1]
Prompt 3 — How do I add a compelling "why join us" section?
The best candidates have options. The "why join us" section — often an afterthought — is where you make the pitch for your company over competitors. ChatGPT generates compelling employer value propositions from a few bullet points about your culture and benefits.
Write a 100-word "Why Join Us" section for the job description above. Our company values and culture highlights: [list 3–4 genuine points — e.g. flexible hours, remote-first, strong L&D budget, flat structure, mission-driven]. Our key benefits: [list 3–5 — e.g. private health insurance, 25 days PTO, quarterly team retreats]. Tone: genuine and specific — not generic corporate language. Avoid clichés like "fast-paced environment", "passionate team", or "family culture."
HR professionals: get 50+ prompts for every workflow
The AI Survival Kit for HR Professionals covers recruiting, onboarding, performance reviews, and employee communications — 50+ copy-paste prompts organised by function.
Get the HR AI Kit →Before vs. after: what ChatGPT actually changes
A typical HR manager's first JD draft usually includes: a vague summary ("We're looking for a motivated individual..."), a long list of requirements (12+ bullet points), and a boilerplate benefits section copied from the last posting.
After the 3-prompt workflow: the summary leads with what the role achieves rather than what the person must be; requirements are split into must-have vs. nice-to-have; inclusion language removes unnecessary barriers; and the "why join us" section speaks to the specific candidate rather than a generic pool.
What to always customise before posting
- Salary range. ChatGPT will either omit this or suggest a generic range. Add your actual budgeted range — transparency increases quality applicants and reduces time-to-fill (SHRM, 2025).
- Specific tools and systems. ChatGPT uses category language ("CRM software"). Replace with the actual tools: Salesforce, HubSpot, Workday, Greenhouse, etc.
- Team size and context. "You'll join a 5-person team" is more compelling than "You'll work with cross-functional stakeholders."
- Interview process. Candidates increasingly want to know what to expect. Add a brief 3-step process note at the end.
Common mistakes when using AI for job descriptions
- Publishing without customising. ChatGPT output is a draft. A JD that reads like every other JD on LinkedIn gets buried.
- Too many requirements. ChatGPT sometimes generates comprehensive requirement lists. Prune to 4–5 genuine must-haves.
- Over-reliance on buzzwords. "Dynamic", "collaborative", "results-driven" — these add no signal. Edit them out after the draft is generated.
- Forgetting to specify level. Always include the seniority level and reporting structure in your prompt — the difference between a junior and senior JD is significant, and ChatGPT defaults to mid-level without guidance.
Frequently asked questions
Does ChatGPT write biased job descriptions? +
ChatGPT can produce biased language if given biased inputs — particularly gendered adjectives or requirements that disproportionately exclude protected groups. The second prompt in this workflow specifically addresses inclusion. Tools like Textio also scan for bias patterns. Always review AI-generated JDs before posting.
Can I use ChatGPT for ATS-optimized job postings? +
Yes. Ask ChatGPT to 'format for ATS parsing with clear section headers' and avoid tables or graphics that ATS systems may not read correctly. Standard section structure (About the Role, Responsibilities, Requirements, Benefits) is what most ATS platforms parse reliably. Keyword-rich, jargon-free language also improves matching.
AI Survival Kit for HR Professionals
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