Library/Account Research & Buyer Intelligence/Competitive Intelligence/Build a Competitor Pricing Intelligence Brief
TestedAccount Research & Buyer IntelligenceQuick Win (under 10 min)
About this prompt
This prompt produces a structured pricing intelligence brief on [COMPETITOR] using publicly available sources including their website, G2 reviews, job postings, and industry reports. It's for AEs and Sales Managers building competitive positioning before a deal where pricing is likely to be compared. Use it when a prospect has named a competitor and pricing is expected to come up in evaluation.Walking into a competitive deal without knowing the other side's pricing model is a liability. This prompt compiles what's publicly known about [COMPETITOR]'s pricing — model type, published tiers, discounting patterns, contract structure, and recent changes — with a confidence rating (High/Medium/Low) attached to each finding so you know what to lean on and what to caveat. It then recommends how this intelligence should affect your own pricing presentation in competitive situations. The user provides the competitor name; no other input is required, though you can add any known deal context to sharpen the recommendations. Use this before sending a proposal when you know the prospect is comparing vendors, not as a general-purpose research task. For best output, run it in combination with a fresh G2 or Capterra review scan — the AI will surface more specific discounting patterns if you paste in recent review text alongside the competitor name.The prompt
Help me build a competitor pricing intelligence brief for [COMPETITOR]. Based on publicly available information (website, G2 reviews, job postings, industry reports), research and summarize:
1. Their
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Variables to replace
COMPETITOR
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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