How to Find the Questions Your Buyers Ask ChatGPT
A research method for uncovering the real questions buyers ask ChatGPT, sorting them by intent, and mapping each one to an ad that answers it.
Search advertising taught a generation of marketers to think in keywords. ChatGPT advertising asks you to think in questions. Nobody types "ergonomic chair mesh" into ChatGPT. They type "I sit at my desk nine hours a day and my lower back is killing me, what kind of chair should I look for under $400?"
That question contains a situation, a pain, a budget and a buying stage. If your ad answers it, you are relevant. If your ad just repeats a keyword, you are noise below someone else's answer.
This guide shows you how to find the questions your buyers actually ask, sort them by how close they are to buying, and turn them into ads, context hints and landing pages.
Why questions matter more than keywords in ChatGPT
ChatGPT ads are placed using context hints: plain-language descriptions of the conversations an ad belongs in. A good hint reads like a situation ("first-time runner training for a 5K who keeps getting shin pain"), not a keyword list ("running shoes, 5K shoes").
ChatGPT may also use what it remembers across a person's chats to pick relevant ads. That means the system is matching on meaning and context, not exact strings. Your job is to understand the meaning behind your buyers' questions well enough to describe it.
There is a second reason. The ad appears below ChatGPT's answer, clearly labeled sponsored. The person has just read a helpful response. An ad that continues that thread ("here is a product built for exactly that") feels natural. An ad that ignores it feels like a billboard interrupting a conversation.
The five types of buyer questions
Most questions people ask before a purchase fall into five groups. Sorting them helps you decide which to target and what each ad should say.
| Question type | Example | Buying stage | Ad job |
|---|---|---|---|
| Problem | "Why does my dog scratch so much at night?" | Early | Name the problem, offer a path |
| Solution | "What helps a dog with itchy skin?" | Early to mid | Introduce your category |
| Comparison | "Grain-free vs salmon-based dog food for allergies?" | Mid | Explain what makes yours different |
| Validation | "Is a limited-ingredient diet worth it for a lab?" | Late | Offer proof and reassurance |
| Logistics | "Which dog food brands ship monthly with free returns?" | Late | Lead with the offer |
Early questions have more volume but lower purchase intent. Late questions are rarer but closer to the sale. A healthy campaign usually covers both, with separate ads for each.
Seven places to find real buyer questions
You do not need a special tool to start. You need to listen to where buyers already talk.
1. Your own customer support inbox
Export the last three months of support emails and chat logs. Pre-purchase questions ("Will this fit a 15-inch laptop?", "Is it safe for sensitive skin?") are gold. They are the exact doubts that stop people from buying.
2. Product reviews (yours and your category's)
Read 3- and 4-star reviews in your category. They often begin with the question the buyer had: "I was worried it would be too loud for an apartment, but…" Each worry is a question someone will ask ChatGPT.
3. Reddit and forums
Search your category on Reddit with words like "recommend," "worth it," "vs," and "help." The way people phrase posts there is close to how they phrase ChatGPT prompts: long, specific and full of context.
4. Search autocomplete and "People also ask"
These still show what people wonder about. Treat them as a starting list, then rewrite each one the way a person would actually say it to ChatGPT, with their situation attached.
5. Long-running ads in your niche
Ads that have stayed live in Meta's Ad Library for 60+ days are usually answering a question buyers care about. If a competitor's longest-running ad leads with "finally, a sunscreen that does not leave a white cast," the underlying question is "which sunscreen won't leave a white cast on darker skin?" You are reading the question, not copying the ad. Our guide on why long-running ads are your best creative research explains how to read them.
6. Sales calls and DMs
If you sell anything with a consultation, a demo or Instagram DMs, the first question people ask is often the clearest signal of what drives the purchase.
7. ChatGPT itself
Ask ChatGPT: "What questions would someone ask before buying a [product] for [situation]?" Then ask it to write those questions in a casual, first-person voice. Treat the output as a brainstorm to validate against the sources above, not as research on its own. It reflects what is plausible, not what your buyers actually said.
You can also speed this up with the free buyer question finder, which suggests questions by product and buyer type.
How to turn a list of questions into a question map
Once you have 40–100 raw questions, organize them into a map you can build ads from.
Step 1: cluster by underlying need
Group questions that share the same need even if the wording differs. "Best stand for neck pain," "how to stop looking down at my laptop" and "laptop setup for posture" are one cluster: reduce neck strain while working on a laptop.
Step 2: tag each cluster by stage
Use the five types above. Most clusters lean toward one stage.
Step 3: score each cluster
Give each cluster a 1–3 score on three things:
- Fit: how directly your product answers it.
- Proof: how well you can back up your answer with real evidence (reviews, specs, guarantees).
- Value: how close it is to a purchase and how valuable the buyer is.
Add the scores. Start with clusters scoring 7 or higher.
Step 4: write one message per cluster
For each top cluster, write a single sentence that answers the question with your promise, proof and offer. That sentence becomes the seed for headlines, body copy and context hints. If you need a structure, the promise, proof, offer framework is a good one.
Worked example: from question to ad
Say you sell a $38 limited-ingredient dog food subscription.
Cluster: owners of dogs with itchy skin who suspect food allergies.
Typical question: "My lab keeps scratching and licking his paws. Could it be his food? What should I switch to?"
Stage: Solution to comparison.
Score: Fit 3, Proof 2 (strong reviews, no clinical claims), Value 3. Total 8.
Message: A simple, single-protein recipe for dogs with sensitive stomachs and skin, delivered monthly.
Context hint: "dog owner whose dog is itchy or licking paws and wondering if switching food could help"
Ad:
- Headline:
Single-Protein Food for Sensitive Dogs(38 characters) - Body:
One protein, no fillers, delivered monthly. Skip or cancel anytime.(67 characters)
Notice what the ad does not say. It does not claim to cure allergies, which would break ChatGPT's policy on guaranteed health outcomes. It does not say "we saw you asking about itchy dogs," which would imply the ad knows the conversation. It simply offers a relevant option to someone in that situation.
Matching questions to landing pages
A buyer who asked a comparison question wants a comparison. A buyer who asked a logistics question wants pricing and shipping. If every ad goes to your homepage, you lose the thread.
| Question type | Best landing page |
|---|---|
| Problem | Educational page explaining the problem and your approach |
| Solution | Category or product page with a clear "why this works" section |
| Comparison | Page with a fair side-by-side or "how we're different" |
| Validation | Product page heavy on reviews, guarantee and FAQs |
| Logistics | Pricing, shipping and subscription details above the fold |
The first line of the landing page should echo the question's need. You can check alignment with the message match checker.
Mistakes to avoid
- Writing questions you wish people asked. "What's the most innovative dog food brand?" is not a real question. Stick to sourced language.
- Targeting only late-stage questions. They convert well but run out fast. Early-stage clusters keep campaigns delivering.
- Answering a question your product cannot back up. If you cannot prove it, do not promise it. Unverifiable claims are against ChatGPT ad policy.
- Turning questions into keyword lists. Your hint should describe the person and their situation, not stack nouns.
- Never refreshing the map. Questions shift with seasons, news and new products. Revisit your map every month or two.
Questions as a long-term asset
A good question map is useful beyond ads. It can shape your FAQ page, your product descriptions, your email sequences and your organic content. It also informs how you show up in AI answers organically, which we compare to paid placement in ChatGPT ads vs GEO.
How SecondWin finds buyer questions for you
SecondWin does this research automatically. Enter your URL and it reads your site to understand your product, buyer and niche. It then studies the longest-running ads in your niche on Meta's Ad Library, extracts the proven messages behind them, and identifies the buyer questions each message answers. From there it writes original ChatGPT ads that answer those questions, checks them against policy, and runs them in your own OpenAI ad account.
The question research is part of the free preview. Get your free URL analysis to see the buyer questions and messages SecondWin finds for your brand, then compare plans and pricing if you want it run for you.
FAQ
What is the best way to find questions buyers ask ChatGPT?
Start with sources where buyers already speak in their own words: support emails, product reviews, Reddit threads and sales conversations. Supplement with search autocomplete and long-running ads in your niche, which reveal the questions proven messages answer. Use ChatGPT itself to brainstorm phrasing, but validate its suggestions against real customer language before building ads around them.
Can I see what people actually ask ChatGPT about my product?
No. OpenAI does not give advertisers access to users' conversations, and ChatGPT ads are designed so ads do not change answers or expose chat content. You infer questions from other sources such as support logs, reviews, forums and ad research. Context hints then describe the kinds of conversations your ad should appear in without needing any individual's data.
How many buyer questions should I target per campaign?
Focus each campaign on one cluster of closely related questions that share an underlying need. A cluster might contain ten different phrasings but one core intent. That keeps your context hints coherent and your ad message tight. Most brands start with two or three clusters across separate campaigns, then add more as they learn which needs convert best.
Should my ad repeat the buyer's question?
Usually not word for word. The ad appears below ChatGPT's answer, so the person has already seen their question addressed. Your ad should offer the next step: a product or offer that fits their need. Also avoid phrasing that implies you know what they asked, since ChatGPT ad policy prohibits ads that suggest they have read the user's conversation.