50 AI Prompts for Brand Marketers
Ready-to-steal prompts for the work you actually do: consumer insights, concept testing, campaign copy, retail media, trade, and competitive intel. Written by a CPG strategy veteran, free.
What's inside
- 8 insights prompts: synthetic focus groups, review mining, JTBD extraction
- 7 innovation prompts: concept matrices, red-team buyers, claims with risk flags
- 8 copy prompts: positioning, campaign territories, welcome flows, voice cards
- 7 retail media prompts: search term harvests, PDP audits, waste finders
- 8 trade prompts: promo post-mortems, line reviews, price-pack architecture
- 6 competitive intel prompts and 6 operator moves, plus the prompt-library system
Below the form you'll also find 10 buyer-style prompts you can run right now, free and without signing up, to see whether AI assistants recommend your brand when shoppers ask what to buy.
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10 buyer-style prompts that show whether AI recommends your brand
The 50 prompts above make you faster at your job. These ten do something different: they show you what your shoppers see when they ask an AI assistant what to buy in your category. Swap in your own category and need states, run each one cold in a fresh session, and write down which brands come back.
Direct category prompts
1. What's the best [category] to buy right now?
2. I'm shopping for [category] at [retailer]. What should I get?
3. What are the top three [category] brands, and why those?
4. Which [category] brand is best for someone who [need state, e.g.
is cutting sugar / has sensitive skin / needs 20g of protein]?
Comparison and cart prompts
5. [Competitor A] vs [Competitor B]: which should I buy?
6. Is [your brand] any good? What do people say about it?
7. Build me a weekly grocery cart for [need state] under [budget].
8. I liked [competitor]. What else should I try?
9. What should I look for on the label when buying [category]?
10. Recommend a [category] brand that's [attribute] and available at
[retailer].
How to run the test properly
Test across all the answer surfaces
Run every prompt in ChatGPT, Claude, Perplexity, and Gemini, and check Google AI Overviews by searching the same question in plain Google. They pull from different sources and disagree more than you'd expect, so a brand that wins in Perplexity can be absent from ChatGPT entirely.
Where the assistant offers both a default and a web-browsing or search mode, run both. The gap between them tells you whether your problem is training data or live crawlability.
Control for the coin flip
Use a fresh session with no chat history and no custom instructions, or the model will just reflect your own past prompts back at you. Log every answer, don't summarize from memory.
Then score four things: citation rate, how often you're named at all; position, whether you're in the first three; accuracy, whether what it says about you is even true; and competitor share, who takes the answers you're missing. One answer means nothing. Twenty to thirty prompts is where a pattern becomes real.
Don't want to run it yourself?
The free AI Shelf Snapshot does this for your brand: five real buyer-style prompts across the major AI assistants for your category, returned as a one-page traffic-light scorecard showing whether you're in the answers and who's there instead. Free for the first 5 brands each month. The full AI Visibility Audit runs 20 to 30 prompts across four models, adds an AEO technical audit of your site, and hands back a prioritized fix roadmap for $1,950.
Get Your Free Snapshot → See the full audit →Common questions about prompt testing and AI visibility
What is a buyer-style prompt?
A buyer-style prompt is the question a shopper actually types when deciding what to buy, rather than a branded search. "What's the best prebiotic soda for someone cutting sugar?" is a buyer-style prompt. "Poppi reviews" is not. It matters because buyer-style prompts are where AI assistants make an unprompted recommendation, and where a brand can be left out of the answer entirely without ever knowing.
How do I check whether AI assistants recommend my brand?
Write twenty to thirty buyer-style prompts for your category, run each one cold across ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews, and log every answer. Score citation rate, position, accuracy, and which competitors take the answers you miss. The ten prompts above are a starting set. If you'd rather not do it manually, the free AI Shelf Snapshot runs a scoped-down version for you.
How many prompts do I need to run before the results mean anything?
More than you'd like. A single AI answer is close to a coin flip: the same prompt run twice can name different brands. Twenty to thirty prompts per category, run cold, is the point where citation rate and competitor share stop moving around. That's the set size the AI Visibility Audit uses, and it's why a one-off spot check can be actively misleading.
Do ChatGPT, Perplexity, Claude, and AI Overviews give different answers?
Consistently, yes. They draw on different training data, different live-search partners, and different citation habits. Perplexity leans heavily on current web sources, AI Overviews reflects Google's index, and ChatGPT and Claude blend trained knowledge with browsing when enabled. Testing only one is the most common mistake, because being visible in one assistant tells you almost nothing about the other three.
What do I do if my brand isn't showing up in AI answers?
Start with the technical basics, which is what an AEO technical audit covers: make sure robots.txt allows GPTBot, ClaudeBot, and PerplexityBot, add an llms.txt manifest, put Product and FAQPage structured data on your key pages, and move your real product facts out of images and into extractable text. Then work the content side: write plain-language answers to the need-state questions buyers ask. That prioritized sequence is the deliverable of the AI Visibility Audit.
Are these prompts specific to CPG brands?
They're written for consumer brands in food and beverage, beauty and personal care, household, and wellness, because that's where the examples come from. The structure works for any category where a shopper asks an assistant what to buy. Swap the category, the need state, and the retailer, and the test holds.