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Homepage Blueprint — Café / Coffee Shop

The homepage is the identity anchor for any café or coffee shop website. It tells AI systems who you are, what you serve, where you are located, and when you are open. This blueprint provides the complete JSON-LD graph your homepage needs so AI can classify, cite, and recommend your shop with confidence.

View Prompt View JSON

What this page needs

The homepage is where AI systems look first to understand your coffee shop. It must declare your identity, location, hours, and what you serve. Without this structured data, AI may know your café exists but lack the details needed to recommend it when someone asks for coffee nearby.

Café identity. The CafeOrCoffeeShop node declares your name, cuisine type, phone number, price range, and social profiles. This is the canonical record AI uses to identify your business.
Physical location. A complete PostalAddress and GeoCoordinates let AI systems answer "coffee shops near me" queries and plot your location on maps.
Opening hours. The openingHoursSpecification array tells AI exactly when you are open, which is critical for morning coffee queries and time-aware recommendations.
WebSite and WebPage. These nodes anchor your site graph and connect the homepage to the café entity, giving AI a root-level reference for every other page.

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.
telephone: AI won't recommend a local business it can't confirm is reachable. Phone is the primary trust signal for location-based queries.
address: AI uses address to confirm the business is real and located where it claims. Required for all near-me and city-specific queries.
geo: AI uses geo to place you on a map and answer proximity queries. Without coordinates AI relies on address parsing alone, which is less reliable.
openingHoursSpecification: AI filters local recommendations by current availability. Without hours AI cannot answer open-now queries or confirm the business is reachable.
priceRange: AI filters local recommendations by budget. One of the most common qualifiers in location-based queries.
sameAs: AI cross-references sameAs links to confirm the business exists outside its own domain. Google Business Profile is the strongest signal.
image: AI won't recommend a physical location it can't visually confirm exists. Image is a trust signal for brick-and-mortar businesses.
servesCuisineconditional: AI uses cuisine type to answer food-specific queries. Without it AI cannot match the restaurant to cuisine-based searches.Only required for Restaurant and FoodEstablishment subtypes. If your business is not a food service establishment this field is not applicable.

WebSite

@id: All other schema nodes reference this ID. Without it the graph is disconnected.

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 Homepage 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. City
3. Domain
4. Faq answer
5. Faq question
6. Handle
7. Hero image
8. Homepage title
9. Latitude
10. Logo
11. Longitude
12. Maps cid
13. Page
14. Phone number
15. Price range
16. State
17. Street address
18. Weekday close
19. Weekday open
20. Weekend close
21. Weekend open
22. Yelp id
23. Zip

OPTIONAL — ask for these but proceed if I skip them:
1. servesCuisine

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 Homepage"
- 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 the template below and replace every YOUR_* value with your own data. This block belongs in a <script type="application/ld+json"> tag in the <head> of your homepage.

{
  "@context": "https://schema.org",
  "@graph": [
    {
      "@type": "CafeOrCoffeeShop",
      "@id": "https://YOUR_DOMAIN.com/#cafe",
      "name": "YOUR_CAFE_NAME",
      "url": "https://YOUR_DOMAIN.com",
      "logo": "https://YOUR_DOMAIN.com/YOUR_LOGO.png",
      "image": "https://YOUR_DOMAIN.com/YOUR_HERO_IMAGE.jpg",
      "servesCuisine": "Coffee",
      "telephone": "YOUR_PHONE_NUMBER",
      "priceRange": "YOUR_PRICE_RANGE",
      "address": {
        "@type": "PostalAddress",
        "streetAddress": "YOUR_STREET_ADDRESS",
        "addressLocality": "YOUR_CITY",
        "addressRegion": "YOUR_STATE",
        "postalCode": "YOUR_ZIP",
        "addressCountry": "US"
      },
      "geo": {
        "@type": "GeoCoordinates",
        "latitude": "YOUR_LATITUDE",
        "longitude": "YOUR_LONGITUDE"
      },
      "openingHoursSpecification": [
        {
          "@type": "OpeningHoursSpecification",
          "dayOfWeek": ["Monday", "Tuesday", "Wednesday", "Thursday", "Friday"],
          "opens": "YOUR_WEEKDAY_OPEN",
          "closes": "YOUR_WEEKDAY_CLOSE"
        },
        {
          "@type": "OpeningHoursSpecification",
          "dayOfWeek": ["Saturday", "Sunday"],
          "opens": "YOUR_WEEKEND_OPEN",
          "closes": "YOUR_WEEKEND_CLOSE"
        }
      ],
      "sameAs": [
        "https://www.instagram.com/YOUR_HANDLE",
        "https://www.facebook.com/YOUR_PAGE",
        "https://www.yelp.com/biz/YOUR_YELP_ID",
        "https://www.google.com/maps?cid=YOUR_MAPS_CID"
      ]
    },
    {
      "@type": "WebSite",
      "@id": "https://YOUR_DOMAIN.com/#website",
      "name": "YOUR_CAFE_NAME",
      "url": "https://YOUR_DOMAIN.com"
    },
    {
      "@type": "WebPage",
      "@id": "https://YOUR_DOMAIN.com/#webpage",
      "url": "https://YOUR_DOMAIN.com/",
      "name": "YOUR_HOMEPAGE_TITLE",
      "isPartOf": {
        "@id": "https://YOUR_DOMAIN.com/#website"
      },
      "about": {
        "@id": "https://YOUR_DOMAIN.com/#cafe"
      }
    },
    {
      "@type": "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"
          }
        }
      ]
    }
  ]
}

Frequently asked questions

Should I use CafeOrCoffeeShop or Restaurant for my coffee shop?

CafeOrCoffeeShop is a specific subtype of FoodEstablishment in Schema.org. If your business primarily serves coffee and light food, this type is more precise than Restaurant. AI systems use type specificity to match queries — someone searching for "coffee near me" will get better results from a CafeOrCoffeeShop node.

What should I put for servesCuisine on a coffee shop?

Use "Coffee" as the primary value. If you also serve food, you can use an array: ["Coffee", "Bakery", "Breakfast"]. This helps AI understand the full scope of what you serve beyond just coffee.

Are early morning hours important in openingHoursSpecification?

Yes. Coffee shops often open earlier than other food businesses. AI systems use your opening hours to answer queries like "coffee shops open at 6am." If your hours are missing, AI cannot confirm you are open when someone needs you most.