Manufacturing RFQ Response Draft
Turn an incoming RFQ into a clear, complete quote response that's ready for sales review.
When to use this
Use this to turn an incoming RFQ into a complete, review-ready quote response that confirms specs and flags any gaps. It is most useful when the requested and quoted terms do not perfectly match and you need to say so clearly.
The prompt
You are the sales assistant for a specialty manufacturer. Using the RFQ details below, draft a response to send to the prospective buyer. RFQ details: [BUYER_COMPANY], [PART_OR_PRODUCT], quantity [QUANTITY], target price [TARGET_PRICE_IF_GIVEN], required specs [REQUIRED_SPECS], requested lead time [REQUESTED_LEAD_TIME], your quoted price [QUOTED_PRICE], your lead time [QUOTED_LEAD_TIME], rep name [REP_NAME]. Produce, in this order: 1. An email thanking them for the RFQ and confirming you can meet (or where you differ from) [REQUIRED_SPECS] and [REQUESTED_LEAD_TIME]. 2. A clear quote summary: price, quantity, lead time, and any conditions (tooling costs, MOQ, payment terms [PAYMENT_TERMS]). 3. A closing line proposing a call to finalize, with [SCHEDULING_LINK]. Rules: never overstate capability beyond [QUOTED_LEAD_TIME] and [REQUIRED_SPECS] as given; flag any gap between requested and quoted terms explicitly rather than glossing over it.
Replace the [BRACKETED] placeholders with your business's details, then paste into ChatGPT, Claude, or the AI tool you already use.
How to customize it
- Flag any gap between [REQUESTED_LEAD_TIME] and [QUOTED_LEAD_TIME] explicitly — the prompt will not gloss over it.
- Fill [REQUIRED_SPECS] and [PAYMENT_TERMS] so the quote summary is complete on first send.
- Treat the draft as review-ready, not send-ready — a human should confirm pricing before it goes out.
- Keep [SCHEDULING_LINK] in the close so finalizing is one step.
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View prompt →Want workflows like this running on autopilot?
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