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Prompt Details

Model
Chat - (gpt-5.6)
Token size
308
Example input
[COMPANY]: SentryGate - compliance automation [PROSPECT]: Northbridge Capital, financial services [OBJECTION]: "We already have a compliance solution in place" [STAKEHOLDER]: Head of Compliance (skeptic) [STAGE]: Demo stage
Example output
STEP 1 — DEEP DIAGNOSIS This objection masks a fear of switching costs and a lack of trust in a new vendor. The prospect may also be protecting their existing relationship. STEP 2 — RESPONSE STRATEGIES - ROI-led: "How much time does your team spend on manual reporting? We help customers save 20+ hours a week." - Insight-led: "Most compliance leaders believe their solution is sufficient until audit season hits. When was your current solution last tested?" - Consensus-builder: "Who else on your team is involved in compliance? I'd like to show them how we handle the same issues." STEP 3 — STAKEHOLDER MAP Key players: Head of Compliance (objection raiser), IT Director (technical evaluator), CFO (budget authority). The CFO cares about cost savings; the IT Director cares about integration. STEP 4 — SANDLER NEGATIVE REVERSE "If your current solution is meeting all your needs, would it be a waste of time for us to continue? I want to be respectful of your time." STEP 5 — NEXT STEP Schedule a 15-min deep-dive with the Head of Compliance to uncover specific gaps in their current solution. Suggested timing: within 3 days. Channel: email followed by LinkedIn.
GPT

B2b Objection Handling Framework System

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GPT-5.6
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Stop losing deals to the same objections. This prompt doesn't just write responses — it builds a complete objection-handling framework using Sandler and MEDDIC methodologies. You get: a deep diagnosis of why the objection is raised, 3 tailored response strategies (ROI-led, Insight-led, Consensus-builder), a stakeholder map, a Sandler negative reverse script, and a specific next step. Built for SDRs, Account Executives, and B2B founders.
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