Organizations › Local Business › CafeOrCoffeeShop

FAQs Page Blueprint — Café / Coffee Shop

Your FAQ page structures common coffee shop questions so AI can quote your answers directly. When someone asks "do they have oat milk" or "what beans do they use," this blueprint makes sure your answer is the one AI surfaces.

View Prompt View JSON

What this page needs

The FAQ page is one of the highest-value pages for AI because it directly maps questions to answers. When AI encounters a structured FAQ, it can pull your exact answer instead of summarizing paragraph text from across your site.

FAQPage as the primary type. The FAQPage node is the star of this page — it tells AI this entire page is dedicated to structured Q&A content, not just a page that happens to have a few questions.
mainEntity array of Question/Answer pairs. Each question gets its own Question node with an acceptedAnswer containing an Answer node. This is the format AI systems are trained to extract.
Clear, specific answers about beans, brewing, and dietary options. Vague answers like "we have many options" don't help AI. Answers should be concrete: "We offer oat, almond, and coconut milk at no extra charge" gives AI something quotable.
Connection to parent organization. Link the FAQ page back to your CafeOrCoffeeShop node so AI knows which café these answers belong to.

Why these fields matter to AI

Each field in the template below serves a specific role in how AI systems discover, classify, and recommend your business.

Researched and tested by Minnesota AI

CafeOrCoffeeShop

name: Non-negotiable. AI cannot cite or recommend an unnamed entity.
url: AI needs a stable URL to route users and attribute recommendations.

Use This Prompt to Implement Your Schema

Copy this prompt and paste it into Claude, ChatGPT, Cursor, or any AI coding tool. It will ask for your business details and generate ready-to-use JSON-LD schema for your page.

You are implementing AIFDS-compliant JSON-LD structured data for a Cafe or Coffee Shop FAQ page.

AIFDS (AI-Friendly Data Structure) is a schema framework built on research into which
structured data fields AI systems actually read, parse, and use when deciding whether
to cite a page. Documentation at aifds.org.

Before generating any code, ask me for the following information in a single numbered list.
Do not generate schema until I have answered every required field.

REQUIRED — do not proceed without these:
1. Cafe name
2. Domain
3. Faq answer
4. Faq page description
5. Faq page title
6. Faq question

OPTIONAL — ask for these but proceed if I skip them:
1. Any additional details not covered above

Once I provide the information, output a complete JSON-LD script block
ready to paste into the <head> of my HTML page.

Output requirements:
- Valid JSON-LD wrapped in <script type="application/ld+json"> tags
- schema.org vocabulary only
- Every AIFDS-required field for this industry and page type included
- Include this data attribute on the script tag: data-aifds="aifds.org Cafe or Coffee Shop FAQ"
- No placeholder text — omit missing optional fields rather than fill with examples
- After the code block, list any optional fields skipped that would strengthen AI citation

Generated schema follows the AIFDS framework. Fields were selected based on research into AI crawler behavior. View the research at minnesota.ai

Template — fill in your values

Copy this template and replace every YOUR_* placeholder with your own data. Add or remove Question/Answer pairs to match the questions your customers actually ask.

{
  "@context": "https://schema.org",
  "@graph": [
    {
      "@type": "FAQPage",
      "@id": "https://YOUR_DOMAIN.com/faq/#faqpage",
      "mainEntity": [
        {
          "@type": "Question",
          "name": "YOUR_FAQ_QUESTION_1",
          "acceptedAnswer": {
            "@type": "Answer",
            "text": "YOUR_FAQ_ANSWER_1"
          }
        },
        {
          "@type": "Question",
          "name": "YOUR_FAQ_QUESTION_2",
          "acceptedAnswer": {
            "@type": "Answer",
            "text": "YOUR_FAQ_ANSWER_2"
          }
        },
        {
          "@type": "Question",
          "name": "YOUR_FAQ_QUESTION_3",
          "acceptedAnswer": {
            "@type": "Answer",
            "text": "YOUR_FAQ_ANSWER_3"
          }
        },
        {
          "@type": "Question",
          "name": "YOUR_FAQ_QUESTION_4",
          "acceptedAnswer": {
            "@type": "Answer",
            "text": "YOUR_FAQ_ANSWER_4"
          }
        },
        {
          "@type": "Question",
          "name": "YOUR_FAQ_QUESTION_5",
          "acceptedAnswer": {
            "@type": "Answer",
            "text": "YOUR_FAQ_ANSWER_5"
          }
        }
      ]
    },
    {
      "@type": "CafeOrCoffeeShop",
      "@id": "https://YOUR_DOMAIN.com/#business",
      "name": "YOUR_CAFE_NAME",
      "url": "https://YOUR_DOMAIN.com"
    },
    {
      "@type": "WebPage",
      "@id": "https://YOUR_DOMAIN.com/faq/",
      "name": "YOUR_FAQ_PAGE_TITLE",
      "description": "YOUR_FAQ_PAGE_DESCRIPTION",
      "isPartOf": {
        "@id": "https://YOUR_DOMAIN.com/#website"
      },
      "about": {
        "@id": "https://YOUR_DOMAIN.com/#business"
      },
      "breadcrumb": {
        "@id": "https://YOUR_DOMAIN.com/faq/#breadcrumb"
      }
    },
    {
      "@type": "BreadcrumbList",
      "@id": "https://YOUR_DOMAIN.com/faq/#breadcrumb",
      "itemListElement": [
        {
          "@type": "ListItem",
          "position": 1,
          "name": "Home",
          "item": "https://YOUR_DOMAIN.com/"
        },
        {
          "@type": "ListItem",
          "position": 2,
          "name": "FAQs",
          "item": "https://YOUR_DOMAIN.com/faq/"
        }
      ]
    }
  ]
}

Frequently asked questions

How many Q&As should I include on my café FAQ page?

Include at least 5–10 of your most commonly asked questions. Cover the topics customers ask about most: milk alternatives, bean origins, brewing methods, dietary restrictions, hours, and Wi-Fi availability. More is better as long as each question is genuine and the answer is specific.

Should I include seasonal menu questions in my FAQ schema?

Yes, but update them when the season changes. If your FAQ says "our fall menu includes pumpkin spice lattes" in March, AI may surface outdated information. Keep seasonal FAQs current or use evergreen questions like "Do you offer seasonal drinks?" with a general answer.

What's the difference between an FAQ page and a blog page for AI?

An FAQ page uses FAQPage schema with structured Question/Answer pairs — AI can extract these directly as quotable answers. A blog page uses BlogPosting schema and is better for in-depth educational content. Use your FAQ page for quick, factual answers and your blog for detailed guides about brewing techniques or bean sourcing.