The Best Prompt to Know Which AI Summarizer Actually Delivers

In today’s flood of virtual meetings and recorded calls, knowing whether an AI summarizer actually delivers a useful summary is more critical than ever. We took the same meeting transcript through two leading summarization apps and then asked an impartial AI to evaluate them side by side. The result? A clear-cut prompt you can plug into your favourite LLM (like ChatGPT or Perplexity) to determine which summarizer truly stands out in accuracy, detail, clarity, and professional value.


Copy this prompt to your preferred LLM (ie ChatGPT or Perplexity) and try for yourself:
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Task: You are an independent evaluator. Compare two AI-generated meeting summaries and identify which one is more accurate, detailed, and useful for professional use.

Context: Both summaries describe the same meeting.

Instructions:

1. Analyze each version in the following categories:
   • Detail & factual accuracy
   • Completeness (how much context or nuance is captured)
   • Structure & clarity
   • Professional tone
   • Intended audience & use case
   • Credibility (evidence of transcript-based accuracy)
   • Clarity for logistics or next steps
   • Inclusion of contextual/cultural/emotional details
2. Provide a table comparing both versions side-by-side for each category.
3. Give each summary a numerical score (1-10) for overall quality and completeness.
4. Conclude with a verdict: which summary would be more valuable for professional reference, and why.

Input:

• Version A (App A): [paste summary here]
• Version B (App B): [paste summary here]

Goal: Produce an objective comparison with reasoning — avoid bias, speculation, or brand loyalty.

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Now that you’ve identified which AI produces the best summary, the next question is: how can you take it a step further?
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‍Think about how that summary could automatically feed briefs, follow-ups, CRM updates, or knowledge bases, turning captured conversations into relationship intelligence.