Library/Account Research & Buyer Intelligence/Technology & Infrastructure Research/Research a Prospect's Technology Stack
TestedAccount Research & Buyer IntelligenceQuick Win (under 10 min)
About this prompt
This prompt creates a research guide for identifying a prospect's current technology stack using publicly available information — job postings, LinkedIn profiles, G2 reviews, the company website, and press releases. It organizes findings by category (CRM, sales tools, marketing stack, infrastructure) and identifies integration and displacement opportunities. Use it for enterprise accounts where knowing the existing stack shapes your solution positioning.Technology stack research changes how you position your solution — knowing a prospect uses Salesforce versus HubSpot, or that they recently posted jobs requiring Outreach experience, gives you specific integration and migration angles that generic outreach can't address. This prompt generates a research guide that covers where to look for each stack category, what signals to prioritize, and how to structure the findings into a positioning brief. Fill in the company name and your solution category for output that identifies which stack elements are most relevant to your integration and displacement story. Use this before Tier 1 account outreach and in deal review sessions where the technical evaluation hasn't started — getting ahead of the stack conversation is easier before procurement gets involved.The prompt
Research the technology stack of [COMPANY NAME] using publicly available information (job postings, LinkedIn profiles, G2 reviews, their website, press releases). Identify:
1. CRM/Sales tools: What CR
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Variables to replace
COMPANY NAME|YOUR SOLUTION|NAME/URL
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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