Answer 'can you guarantee results?' without overpromising or dodging
Answers the guarantee question the way buyers actually mean it — proof, downside protection, and shared risk — without the overpromise that becomes churn or the dodge that reads as no confidence. If your interview answers reveal you have no real risk-reversal structure, the model says so and proposes guarantee structures instead of writing copy that papers over the gap.
You are a risk-reversal strategist for B2B sales. You know 'can you guarantee results?' is really three questions wearing one coat: 'have you done this before for someone like me?', 'what happens if it fails?', and 'will you share the risk?'. Reps blow it in both directions — the overpromise ('absolutely, you'll see results in 30 days!') that becomes a churn timebomb, and the lawyer-dodge ('no one can guarantee anything') that reads as zero confidence.
Draft ONE email reply to a guarantee question. Rules:
- Under 110 words.
- Answer the literal question honestly in the first sentence — what is and isn't guaranteed, no hedging preamble.
- Then answer the three real questions: one sentence of track-record proof with a number ('we've done this N times, typical range is X'); one sentence on what happens if results lag (the mechanism: pause clause, extended work, refund terms — whatever I actually offer); one sentence on shared risk if I have any structure for it.
- Reframe from certainty to odds: no honest vendor guarantees outcomes, but process, proof, and terms change the risk math.
- Banned: 'results may vary', overpromising anything I haven't confirmed, ROI hand-waving without a number, and answering a different question than they asked.
Before you write anything, interview me. Ask me these questions ONE AT A TIME, waiting for my answer each time:
1. What do you actually guarantee contractually, if anything — and what do you explicitly not guarantee?
2. What's your honest track record: how many similar clients, and what's the typical result range including the disappointing ones?
3. What happens structurally when results lag — pause, extend, refund, rework?
4. Paste their exact question and anything you know about why they're asking (been burned before? comparing vendors?).
Once you have my answers, write the reply. If my answers to questions 1 and 3 amount to 'nothing', tell me plainly that I have a risk-reversal gap that no email copy can paper over, and suggest 2-3 guarantee structures common in my type of business.How to use it
- 1
Copy the prompt into Claude, ChatGPT, or any LLM.
- 2
Answer the interview with your real contractual terms and honest result ranges — including the disappointing engagements; the model calibrates the claim to survive the relationship.
- 3
If the model flags a risk-reversal gap, fix the offer before polishing the email — this is a product problem surfacing as a copy problem.
- 4
Send the reply and log their reaction; a prospect satisfied by process-plus-terms is qualified, and one who still demands an outcome guarantee is telling you about the relationship ahead.
Best practices
The number in the track-record sentence does the heavy lifting — 'typical range across 40 engagements' beats any adjective you could pick.
Volunteering the failure mechanism ('if we're behind at day 60, here's what happens') builds more trust than the guarantee itself; buyers know things go wrong and are testing whether you've thought about it.
A prospect who asks about guarantees early has usually been burned — ask about the previous experience on the eventual call; the answer is your deal map.
Example: what this looks like in practice
The founder of an outbound growth firm gets 'What guarantees do you offer? We've been burned before.' In the interview: she guarantees a meetings-booked floor in the first 90 days with a work-free-until-hit clause, has run 30-plus engagements with a typical range she can state honestly, and suspects the prospect's last provider locked them into a 12-month contract that produced nothing. The model drafts a 106-word reply: the guarantee stated plainly in sentence one, the 30-engagement range, the work-free clause as the lag mechanism, and month-to-month terms as shared risk — closing with one line acknowledging that after a bad experience, terms matter more than promises. The prospect books a call and opens it by saying that was the first straight answer they'd gotten.
Best fit
This prompt is one gear in a bigger machine. We orchestrate 20+ tools into outbound systems our clients own — and guarantee the results.
Apply for a Pilot Spot → →Frequently asked questions
Answer the literal question honestly first — state what is and isn't guaranteed — then answer the three questions underneath it: proof you've done this for similar companies (with numbers), what structurally happens if results lag, and whether you share risk. Buyers asking about guarantees are really asking about downside protection; process, track record, and terms answer that better than a promise ever could.
More reply & objection handling prompts
Convert a positive reply into a booked meeting before it cools off
Closes the gap where outbound pipelines leak most — between 'interested' and 'booked'. The reply answers their question in one line, offers two concrete times plus a link, and names the meeting payoff, all under 70 words. The pre-written 48-hour bump catches the prospects who meant yes but got busy, which is most of them.
Handle 'we already have a vendor' without trashing the competitor
Turns the most common outbound objection into a wedge conversation. Instead of attacking the incumbent or retreating, the reply legitimizes the prospect's choice and probes one specific gap as a question — the only competitive angle that doesn't insult their judgment. The interview forces you to name a provable differentiator, and the model pushes back if it's generic.
Answer 'how are you different from [competitor]?' in a reply thread
Produces the comparison answer that wins shortlists: one sharp axis of difference instead of a feature dump, genuine credit to the competitor, one proof point, and — the trust multiplier — an honest sentence about who the competitor is better for. If the prospect's use case actually favors the competitor, the model tells you before you draft, not after you lose.