"It's too expensive." "I need to think about it." "Send me more information." These three objections handle about 80% of sales resistance in a typical small business. Most owners respond to them off the top of their head, often badly, often when they are already frustrated. An AI that knows your business can draft responses to all three in seconds — consistent, calm, and on-brand — if you train it right.
This is the piece where I show you how.
The three objections that handle everything
Before we get to the prompt, let's be clear about what is actually being said under each of these objections — because the surface sentence is usually not the real thing.
"It's too expensive." This rarely means the price is objectively too high. It usually means one of three things: the prospect does not yet see enough value to match the price, they are comparing you to something cheaper that isn't really comparable, or they have a budget constraint that is real but not final. Your response has to probe which one — without sounding like you are dismissing the concern.
"I need to think about it." This almost always means the prospect has an unspoken concern they did not want to raise directly. Fear of making the wrong decision. Not sure whether to involve someone else. A piece of the offer they did not quite understand. The job of your response is to make it safe to surface the real concern.
"Send me more information." This is often a polite stall. The prospect is not ready to commit and is buying time. Sometimes it is a legitimate request. Either way, the response should match the intent: if it is a stall, you give them a reason to schedule something; if it is a real info request, you send exactly what they need and set a follow-up.
The response framework: acknowledge, reframe, ask
Every objection response follows the same three-beat structure. This is what we train the AI to produce.
Acknowledge. Name the objection back to the prospect in their own words. Do not minimize it. Do not jump straight to a rebuttal. "I hear you — the investment is real, and it's a fair thing to sit with." This is the step almost every amateur response skips, and it is the step that keeps the prospect from getting defensive.
Reframe. Offer a new way of looking at the thing. Not a counter-argument — a shift in perspective. "The businesses we see get the most out of this are the ones who were comparing it to two years of continuing to pay for ads — not to the one-month cost of buying the audit itself." A good reframe opens a door, it does not slam one.
Ask. End with an open question that invites the next step. Not a yes/no question — an open one. "What would need to be true for this to make sense at that budget?" or "If the price were half of what it is today, would you still be thinking about it — or would you have already said yes?"
The prompt template
Why this works
The three-beat framework is not a sales trick. It is just how a respectful human conversation about disagreement actually works. When a customer raises an objection and you respond without acknowledgment, they feel unheard. When you acknowledge without offering a new frame, they feel heard but unmoved. When you reframe without asking, you sound like you are lecturing. All three beats together sound like a real person thinking with them rather than selling at them.
An AI that has your business profile loaded and the three-beat framework in its instructions will produce responses of startling quality within a couple of test runs. The reason: most of what makes a sales response good is not improvisation — it is structure. And structure is exactly what AI is best at.
Three beats. One question at the end.
Customize by business
Every business has its own specific reframes that actually work. For us at Avikiva, the reframe against "too expensive" is almost always cost-of-inaction framing — the cost of continuing to be invisible to AI vs. the one-time cost of the audit. For a law firm, it might be cost-of-DIY framing. For a gym, it might be sunk-cost-already-paid-for framing.
Add your three strongest reframes for each objection type into the business profile. Next time you run the objection prompt, the AI will incorporate them automatically. Your prompts get smarter every time you feed them a real win from the field.
That is the whole Prompt Library philosophy in microcosm: SOPs that compound. You build them once, refine them quarterly, and let them keep working. If you haven't read John's flagship piece on the methodology yet, start with How to Write an AI SOP.