USE CASE
The scenario: Sales leaders want to improve discovery quality across the team but can't manually review every call. Anecdotal coaching leads to inconsistent improvement.
What they do: Claude Code analyzes call transcripts at scale pulled from Gong or Fireflies.ai. By reviewing multiple conversations together, Claude Code identifies: missed discovery questions, weak qualification signals, unclear decision criteria, and patterns across strong vs. weak opportunities.
The result: Coaching becomes more objective. Pattern identification is consistent across the entire team.
A practical AI workflow for B2B sales — the prompts below run this play end to end, in Claude, ChatGPT, Gemini, or Copilot.
2,900+ TESTED PROMPTS · 15 SALES STAGES
Every prompt in the library is vetted, tested, and built for a real sales job — like this one.
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