Extract Sales Objections → Generate Response Examples → Train Team

Upload recorded sales calls or meetings to Otter.ai to get accurate transcriptions, then organize them by deal stage, product type, or customer segment.

Feed call transcripts to the AI with prompts to identify customer objections, concerns, and hesitations. Ask it to categorize these by type (price, features, timing, etc.) and extract the exact customer language used.

For each identified objection category, prompt the AI to create multiple interpretable response examples that demonstrate different approaches: empathetic responses, data-driven rebuttals, and redirect strategies.

Record short training videos demonstrating how to deliver each response example, showing tone, pacing, and body language. Include the AI-generated examples as talking points and practice scripts.

Create an Airtable base with fields for objection type, customer context, response examples, and training video links. Make it searchable so sales reps can quickly find relevant examples during live calls.