AI Shelf Index · Coffee
Which coffee brands does AI recommend?
Every month we ask ChatGPT, Perplexity and Gemini the same 3 coffee questions with web search on, and count the brands they name. Same prompts every month, so the trend is the story.
The first coffee edition is being collected.
An edition publishes once at least 90% of the month's answers are in. Below are the exact prompts it asks and what each one needs from a product page. To track your own brand now, start a weekly Shelf Watch.
What the prompts ask for
How a coffee brand gets named
Coffee prompts ask for a format (subscription, whole bean, decaf) and a use (espresso at home). Roasters often describe flavour beautifully and leave out the plain facts an assistant needs to match a shopper's setup.
Put each fact on the product page as text, in your Product structured data (as an additionalProperty where schema.org has no field for it), in your Shopify category metafields and in your Merchant Center feed's product_detail and product_highlight. Then check whether the sites assistants cite say the same thing.
| The shopper asks | The fact that answers it |
|---|---|
| “coffee bean subscriptions” | Delivery frequency, bag size, price per delivery and whether you can pause, on a page that isn't behind a login |
| “whole-bean for espresso at home” | Roast level, origin or blend, recommended brew methods and roast date policy |
| “decaf that actually tastes good” | The decaffeination process (Swiss Water, CO2, sugarcane EA) and tasting notes in words |
Panel
The 3 coffee prompts
- 1.What are the best coffee bean subscriptions? I'm shopping online in the United States.
- 2.Recommend a whole-bean coffee brand for espresso at home. I'm shopping online in the United States.
- 3.Which decaf coffee actually tastes good? I'm shopping online in the United States.
Fixed since the first edition. How the count works and its limits are on the Index page; journalists and researchers can find citation terms and raw data on Research.
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