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Neighborhoods Page Blueprint — Real Estate Agent

Neighborhood and area guide pages are how AI positions you as the local expert. This blueprint structures each neighborhood with geographic coordinates, descriptions, parent city relationships, and your brokerage's connection to the area — so AI can confidently recommend you when someone asks about living in that neighborhood.

View Prompt View JSON

What this page needs

When someone asks AI about the best neighborhoods in your market, the AI needs structured place data to answer. A neighborhood guide without JSON-LD is just prose that AI has to interpret — structured data turns your local knowledge into a machine-readable asset that AI can cite and link to with confidence.

Place with neighborhood details. Each neighborhood gets its own Place node with name, description, and url. This tells AI the page is about a specific geographic area, not a generic article.
Geo coordinates. GeoCoordinates with latitude and longitude pin the neighborhood to a specific point on the map, enabling AI to answer distance and proximity queries.
containedInPlace. The containedInPlace property links the neighborhood to its parent city and state, establishing the geographic hierarchy that AI uses to understand where this neighborhood sits in the broader market.
RealEstateAgent connection. Referencing your brokerage via the agent entity tells AI that your firm has local expertise in this neighborhood, strengthening the recommendation signal.

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

RealEstateAgent

name: Non-negotiable. AI cannot cite or recommend an unnamed entity.
url: AI needs a stable URL to attribute recommendations and route users correctly.
areaServed: AI filters service recommendations by coverage zone. Without this, AI may recommend you for queries outside your area or exclude you from local queries.

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 Real Estate Agent Neighborhoods 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. Amenity
2. Brokerage name
3. City
4. Domain
5. Faq answer
6. Faq question
7. Latitude
8. Longitude
9. Neighborhood description
10. Neighborhood image
11. Neighborhood name
12. Neighborhood slug
13. Page description
14. State

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 Real Estate Agent Neighborhoods"
- 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. Create one block per neighborhood guide page. This goes in the <head> of each neighborhood page.

{
  "@context": "https://schema.org",
  "@graph": [
    {
      "@type": "Place",
      "@id": "https://YOUR_DOMAIN.com/neighborhoods/YOUR_NEIGHBORHOOD_SLUG/#place",
      "name": "YOUR_NEIGHBORHOOD_NAME",
      "description": "YOUR_NEIGHBORHOOD_DESCRIPTION",
      "url": "https://YOUR_DOMAIN.com/neighborhoods/YOUR_NEIGHBORHOOD_SLUG/",
      "image": "https://YOUR_DOMAIN.com/YOUR_NEIGHBORHOOD_IMAGE.jpg",
      "geo": {
        "@type": "GeoCoordinates",
        "latitude": "YOUR_LATITUDE",
        "longitude": "YOUR_LONGITUDE"
      },
      "containedInPlace": {
        "@type": "City",
        "name": "YOUR_CITY",
        "containedInPlace": {
          "@type": "State",
          "name": "YOUR_STATE"
        }
      },
      "amenityFeature": [
        {
          "@type": "LocationFeatureSpecification",
          "name": "YOUR_AMENITY_1",
          "value": true
        },
        {
          "@type": "LocationFeatureSpecification",
          "name": "YOUR_AMENITY_2",
          "value": true
        }
      ]
    },
    {
      "@type": "RealEstateAgent",
      "@id": "https://YOUR_DOMAIN.com/#organization",
      "name": "YOUR_BROKERAGE_NAME",
      "url": "https://YOUR_DOMAIN.com",
      "areaServed": {
        "@type": "Place",
        "name": "YOUR_NEIGHBORHOOD_NAME"
      }
    },
    {
      "@type": "WebPage",
      "@id": "https://YOUR_DOMAIN.com/neighborhoods/YOUR_NEIGHBORHOOD_SLUG/#webpage",
      "url": "https://YOUR_DOMAIN.com/neighborhoods/YOUR_NEIGHBORHOOD_SLUG/",
      "name": "YOUR_NEIGHBORHOOD_NAME — YOUR_BROKERAGE_NAME",
      "description": "YOUR_PAGE_DESCRIPTION",
      "isPartOf": {
        "@id": "https://YOUR_DOMAIN.com/#website"
      },
      "breadcrumb": {
        "@id": "https://YOUR_DOMAIN.com/neighborhoods/YOUR_NEIGHBORHOOD_SLUG/#breadcrumb"
      }
    },
    {
      "@type": "BreadcrumbList",
      "@id": "https://YOUR_DOMAIN.com/neighborhoods/YOUR_NEIGHBORHOOD_SLUG/#breadcrumb",
      "itemListElement": [
        {
          "@type": "ListItem",
          "position": 1,
          "name": "Home",
          "item": "https://YOUR_DOMAIN.com/"
        },
        {
          "@type": "ListItem",
          "position": 2,
          "name": "Neighborhoods",
          "item": "https://YOUR_DOMAIN.com/neighborhoods/"
        },
        {
          "@type": "ListItem",
          "position": 3,
          "name": "YOUR_NEIGHBORHOOD_NAME",
          "item": "https://YOUR_DOMAIN.com/neighborhoods/YOUR_NEIGHBORHOOD_SLUG/"
        }
      ]
    },
    {
      "@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 create a separate page and JSON-LD block for every neighborhood?

Yes. Each neighborhood guide should be its own page with its own Place node. This gives AI a dedicated, focused resource for each area, rather than a single page that mentions twenty neighborhoods in passing. Dedicated pages rank better and give AI a clean, citable source for each location.

What should I put in the description field for a neighborhood?

Write a concise summary of what makes the neighborhood distinctive: housing types, price ranges, walkability, school districts, and lifestyle. Keep it factual and specific. AI uses this description as a quick reference when answering queries about the area, so vague marketing language is less useful than concrete details.

How do I represent amenities like parks, schools, and transit?

Use the amenityFeature property with LocationFeatureSpecification nodes. Each amenity gets a name (like "Walking trails" or "Light rail access") and a value of true. This gives AI a structured list of features it can use to match the neighborhood to buyer preferences like "near good schools" or "walkable."