Salary Research Assistant: Market Rate Analysis Before Negotiation
Published: 2026-05-18
GPT-4 / GPT-4o (with web browsing if available)
When you have a written offer and need market data to support your counter-offer negotiation.
📋 Prompt Template
I have a job offer for a [ROLE] position at [COMPANY NAME] in [CITY/REMOTE]. The offer is $[OFFER AMOUNT] base salary with $[EQUITY/BONUS DETAILS]. Based on publicly available salary data (Levels.fyi, Glassdoor, H1B database), provide: 1. The typical salary range for this role at this company (if data exists) or comparable companies 2. The total compensation range (base + bonus + equity) for this level 3. 3 specific data points I can cite during negotiation (e.g., 'According to Levels.fyi, the median total comp for this role at [COMPANY] is $[X]') 4. A recommended counter-offer range with justification 5. Common negotiable items beyond base salary (signing bonus, equity, remote work, PTO, professional development budget)Copied!
Only 37% of candidates negotiate their salary, yet 85% of those who do receive an increase. The #1 reason people don't negotiate: they don't have data to support their ask. This prompt generates the market data you need to negotiate confidently, with specific citations you can use in your counter-offer.
💡 Pro Tips
- Always negotiate from a written offer — never discuss specific numbers before the offer letter
- Cite specific data sources in your counter-offer email — it shows preparation and makes your ask harder to dismiss
- GPT-4 with web browsing can pull near-real-time salary data from public sources
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References & Sources
- OpenAI GPT-4 Prompt Engineering Best Practices
- Anthropic Claude Prompt Design Guide
- Google Gemini Prompting Strategies
- ATS Resume Parsing Standards (Workday, Greenhouse, Lever)
- LinkedIn Recruiter Search Algorithm
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