The Prompt Set Generator takes a short description of what you sell and returns 25 buyer questions, 5 each for discovery, comparison, alternatives, pricing and objections. You can copy the questions as a list and run them in ChatGPT or any tool you track with. Use them to check whether AI engines name your brand when people shop in your category. Then ask ChatGPT one of them.
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People use answer engines as advisers. They describe a problem, add constraints, compare a shortlist, challenge the price, and ask what could go wrong. A useful prompt set follows that decision instead of turning one keyword into 25 near-duplicates.
Describe what you sell in the language a customer would use. The generator returns 5 questions in each of 5 groups: discovery, comparison, alternatives, pricing, and objections. That gives you a compact starting set you can run consistently over time.
Invoicing software is broad. Invoicing software for freelance designers gives the generator an audience, a job, and likely constraints. Avoid your homepage slogan. If nobody would use the phrase in a conversation, it will produce a tidy list that does not resemble demand.
After generation, edit the set. Add a question containing the incumbent customers replace. Add the objection sales hears every week. Add regional or regulatory detail when it changes the answer. Delete anything your product cannot credibly win.
Leave your brand name out of the questions. A question like is [brand] good for invoicing names you because you wrote the name in, so the answer tells you nothing about whether the engines recommend you. Keep a few branded questions to see what the engines say about you, and count them separately.
Include problem-aware questions, the ones someone asks before they know what to buy, like why is my brand not showing up in ChatGPT. Questions that pick between vendors tend to cite other vendors and comparison sites. Problem-aware questions tend to cite blogs, documentation and forum threads, which a brand can get into.
Keyword-style and branded questions are the most common weak ones. Rewrite them like this.
| Weak question | Better |
|---|---|
| ai visibility software | What should I use to check if ChatGPT recommends my company? |
| Is [brand] the best AI SEO tool? | What is the best AI SEO tool for a small agency? |
| best software | What is the best [category] for [specific customer]? |
| [brand] reviews | What do people say about [category] tools? |
| How does [brand] compare to competitors? | [rival] vs [rival] for [use case]? |
| enterprise-grade [category] solutions | What do big companies use for [job]? |
The best questions are copied from places where customers describe their problem in their own words.
If you edit the generated set, this split covers the buying journey.
| Block | Count | What it tells you |
|---|---|---|
| Category and discovery | 5 | Whether you are in the consideration set at all |
| Comparison and alternatives | 4 | Where you sit against named rivals |
| Pricing | 2 | Whether you appear when money is the question |
| Problem-aware | 8 | What the engines cite before anybody is shopping |
| Objection and risk | 3 | What is said about the category that works against you |
| Branded (counted separately) | 3 | What the engines say about you specifically |
Do not rewrite every prompt each week. Run the same core set and record whether you were named, where you appeared, which competitors showed up, and which sources were cited. Add a small experimental group when the market changes, but keep the baseline intact.
Discovery shows whether your category language is clear. Comparison and alternatives expose the shortlist you are missing. Pricing questions reveal whether the market understands your fit and trade-offs. Objection questions surface trust problems that feature pages rarely answer.
After the questions are built, you can ask ChatGPT one of them and see which brands it names, in order, with the sources it linked to.
ChatGPT can name different brands each time you ask the same question. Run it a few times and look at which brands keep showing up. A brand that appears every time is a stronger signal than one that shows up once.
Start with the sources under the list. They show which pages ChatGPT read before it answered.
Why AI Recommends Your Competitor covers the common causes and how to tell which one applies to you.
Related study: How Much Do ChatGPT's Answers Change Between Runs?
Peak Answer runs checks like these every week, then writes the content and gets the placements.