Library/Account Research & Buyer Intelligence/Patent, Job-Posting & Alt-Data Research/Identify Prospect Pain Points from Job Postings
TestedAccount Research & Buyer IntelligenceQuick Win (under 10 min)
About this prompt
Analyzes job postings from a target company and infers the operational priorities, gaps, and pain points most relevant to your solution — then turns those into outreach hypotheses. SDRs and BDRs use this to build signal-based outreach before first contact. Run it before writing a cold email to a new account when you have access to their recent job listings but no direct intel.Job postings are one of the most underused prospecting signals — a company that's hiring five RevOps analysts is telling you something their website isn't. This prompt takes a list of job openings from the target company and infers the business priorities and likely pain points that map to your solution, then produces outreach hypotheses you can test in your first message. Paste the job listings directly into the prompt; the more listings you include, the richer the inference. Customize by adding a brief description of your solution so the AI can connect the hiring signals to specific angles rather than producing generic hypotheses. Use this over standard account research when a prospect is actively hiring in a function your product touches — that's a real buying signal worth acting on. Pair the hypotheses with a quick LinkedIn check on who's been recently promoted or hired to identify the most likely responder.The prompt
Using this list of job openings from [company], infer the operational priorities and likely pain points relevant to our solution. Turn that into outreach hypotheses.
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Variables to replace
['COMPANY']
How to run it
- Copy the prompt and paste it into Claude, ChatGPT, Gemini, or Copilot — it's tuned to run in any of them.
- Replace the variables — swap each bracketed token for your deal's specifics. The variables list above explains every field.
- Make it yours — run it, keep what's strong, and tighten your inputs on the next pass. The prompt improves with your context.
What good output looks like
Make it yours
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