The locations page tells AI about every branch of your store. For multi-location retailers, this is critical — AI needs to know which location is closest, what hours each branch keeps, and how to reach each one. This blueprint structures your store locations so AI can direct shoppers to the nearest branch.
Multi-location stores without structured location data force AI to guess which branch to recommend. With separate Store nodes for each location, AI can direct shoppers to the right branch based on proximity, hours, and availability.
Store node with a unique @id, complete address, coordinates, hours, and phone number.Organization node as parentOrganization connects all locations to your brand, telling AI these are branches of the same company.openingHoursSpecification since branch hours often differ.latitude and longitude for each branch enable "nearest store" queries.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
nameurltelephoneaddressgeoopeningHoursSpecificationCopy 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 Store Locations 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. City 2. Domain 3. Faq answer 4. Faq question 5. Lat 6. Lng 7. Location name 8. Location phone 9. Location slug 10. State 11. Store name 12. Street 13. Weekday close 14. Weekday open 15. Zip 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 Store Locations" - 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
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 locations page.
{
"@context": "https://schema.org",
"@graph": [
{
"@type": "Store",
"@id": "https://YOUR_DOMAIN.com/locations/YOUR_LOCATION_SLUG_1/#store",
"name": "YOUR_STORE_NAME — YOUR_LOCATION_NAME_1",
"url": "https://YOUR_DOMAIN.com/locations/YOUR_LOCATION_SLUG_1/",
"telephone": "YOUR_LOCATION_PHONE_1",
"address": {
"@type": "PostalAddress",
"streetAddress": "YOUR_STREET_1",
"addressLocality": "YOUR_CITY_1",
"addressRegion": "YOUR_STATE_1",
"postalCode": "YOUR_ZIP_1",
"addressCountry": "US"
},
"geo": {
"@type": "GeoCoordinates",
"latitude": "YOUR_LAT_1",
"longitude": "YOUR_LNG_1"
},
"openingHoursSpecification": [
{
"@type": "OpeningHoursSpecification",
"dayOfWeek": ["Monday", "Tuesday", "Wednesday", "Thursday", "Friday"],
"opens": "YOUR_WEEKDAY_OPEN_1",
"closes": "YOUR_WEEKDAY_CLOSE_1"
}
],
"parentOrganization": {
"@id": "https://YOUR_DOMAIN.com/#brand"
}
},
{
"@type": "Store",
"@id": "https://YOUR_DOMAIN.com/locations/YOUR_LOCATION_SLUG_2/#store",
"name": "YOUR_STORE_NAME — YOUR_LOCATION_NAME_2",
"url": "https://YOUR_DOMAIN.com/locations/YOUR_LOCATION_SLUG_2/",
"telephone": "YOUR_LOCATION_PHONE_2",
"address": {
"@type": "PostalAddress",
"streetAddress": "YOUR_STREET_2",
"addressLocality": "YOUR_CITY_2",
"addressRegion": "YOUR_STATE_2",
"postalCode": "YOUR_ZIP_2",
"addressCountry": "US"
},
"geo": {
"@type": "GeoCoordinates",
"latitude": "YOUR_LAT_2",
"longitude": "YOUR_LNG_2"
},
"openingHoursSpecification": [
{
"@type": "OpeningHoursSpecification",
"dayOfWeek": ["Monday", "Tuesday", "Wednesday", "Thursday", "Friday"],
"opens": "YOUR_WEEKDAY_OPEN_2",
"closes": "YOUR_WEEKDAY_CLOSE_2"
}
],
"parentOrganization": {
"@id": "https://YOUR_DOMAIN.com/#brand"
}
},
{
"@type": "WebPage",
"@id": "https://YOUR_DOMAIN.com/locations/#webpage",
"url": "https://YOUR_DOMAIN.com/locations/",
"name": "Locations — YOUR_STORE_NAME",
"isPartOf": {
"@id": "https://YOUR_DOMAIN.com/#website"
}
},
{
"@type": "BreadcrumbList",
"@id": "https://YOUR_DOMAIN.com/locations/#breadcrumb",
"itemListElement": [
{
"@type": "ListItem",
"position": 1,
"name": "Home",
"item": "https://YOUR_DOMAIN.com/"
},
{
"@type": "ListItem",
"position": 2,
"name": "Locations",
"item": "https://YOUR_DOMAIN.com/locations/"
}
]
},
{
"@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"
}
}
]
}
]
}
If you only have one location, your homepage blueprint already covers your store's location data. This blueprint is specifically for stores with multiple branches. Single-location stores can skip this page entirely.
Ideally, yes. Each branch should have its own page with a full Store node. The locations page serves as a directory that lists all branches, while individual location pages provide complete detail. Both help AI surface the right branch.
Use parentOrganization on each Store node, referencing a shared Organization or Brand entity with the same @id. This tells AI that all locations belong to the same company, which is important for brand-level queries.