Blog posts are the content AI actually cites. When a real estate agent publishes market reports, buying guides, or neighborhood insights, structured data tells AI who wrote it, when it was published, and which brokerage stands behind it — turning a page of text into a quotable, attributable source of local expertise.
Blog posts are the pages AI cites most often. When someone asks an AI about buying a home in your market or about current real estate trends, these are the signals it looks for before quoting or linking your article:
BlogPosting as the @type so AI recognizes the page as authored editorial content rather than a generic web page or listing.Person node with name, jobTitle, url, and sameAs links tells AI exactly who wrote the content and whether they have relevant real estate expertise.publisher field links the article to your brokerage. AI uses this to attribute the content to an institution, not just an individual agent.description gives AI a summary it can use directly. articleBody provides the full text for deeper comprehension when answering detailed questions.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
headlinedescriptiondatePublisheddateModifiedauthorpublisherimagenamejobTitleurlsameAsnameurllogoCopy 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 Blog 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. Agent slug 2. Author name 3. Brokerage name 4. Category 5. Domain 6. Faq answer 7. Faq question 8. Featured image 9. Job title 10. Linkedin 11. Logo 12. Market area 13. Modified date 14. Post description 15. Post slug 16. Post title 17. Publish date 18. Word count 19. Zillow id 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 Blog" - 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 template covers a single blog post page on a real estate agent website.
{
"@context": "https://schema.org",
"@graph": [
{
"@type": "BlogPosting",
"@id": "https://YOUR_DOMAIN.com/blog/YOUR_POST_SLUG/#article",
"headline": "YOUR_POST_TITLE",
"description": "YOUR_POST_DESCRIPTION",
"datePublished": "YOUR_PUBLISH_DATE",
"dateModified": "YOUR_MODIFIED_DATE",
"author": {
"@id": "https://YOUR_DOMAIN.com/agents/YOUR_AGENT_SLUG/#person"
},
"publisher": {
"@id": "https://YOUR_DOMAIN.com/#organization"
},
"image": "https://YOUR_DOMAIN.com/YOUR_FEATURED_IMAGE.jpg",
"articleSection": "YOUR_CATEGORY",
"wordCount": YOUR_WORD_COUNT,
"about": {
"@type": "Place",
"name": "YOUR_MARKET_AREA"
}
},
{
"@type": "Person",
"@id": "https://YOUR_DOMAIN.com/agents/YOUR_AGENT_SLUG/#person",
"name": "YOUR_AUTHOR_NAME",
"jobTitle": "YOUR_JOB_TITLE",
"url": "https://YOUR_DOMAIN.com/agents/YOUR_AGENT_SLUG/",
"sameAs": [
"https://www.linkedin.com/in/YOUR_LINKEDIN",
"https://www.zillow.com/profile/YOUR_ZILLOW_ID"
]
},
{
"@type": "Organization",
"@id": "https://YOUR_DOMAIN.com/#organization",
"name": "YOUR_BROKERAGE_NAME",
"url": "https://YOUR_DOMAIN.com",
"logo": "https://YOUR_DOMAIN.com/YOUR_LOGO.png"
},
{
"@type": "WebPage",
"@id": "https://YOUR_DOMAIN.com/blog/YOUR_POST_SLUG/",
"isPartOf": {
"@id": "https://YOUR_DOMAIN.com/#website"
},
"breadcrumb": {
"@id": "https://YOUR_DOMAIN.com/blog/YOUR_POST_SLUG/#breadcrumb"
}
},
{
"@type": "BreadcrumbList",
"@id": "https://YOUR_DOMAIN.com/blog/YOUR_POST_SLUG/#breadcrumb",
"itemListElement": [
{
"@type": "ListItem",
"position": 1,
"name": "Home",
"item": "https://YOUR_DOMAIN.com/"
},
{
"@type": "ListItem",
"position": 2,
"name": "Blog",
"item": "https://YOUR_DOMAIN.com/blog/"
},
{
"@type": "ListItem",
"position": 3,
"name": "YOUR_POST_TITLE",
"item": "https://YOUR_DOMAIN.com/blog/YOUR_POST_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"
}
}
]
}
]
}
Use BlogPosting for posts that live on a blog or news section of your site, including market reports, buying guides, and neighborhood profiles. Use Article for standalone editorial pages that are not part of a chronological blog feed. Both carry the same core fields — the difference is semantic, and BlogPosting signals a regularly published series.
Extremely important. Market conditions change quarterly. AI systems weight datePublished and dateModified heavily when deciding whether to cite real estate content. A market report from two years ago will be deprioritized in favor of current data. Update your posts regularly and always update the dateModified field when you do.
Use Person for the author field and Organization for the publisher field. AI systems want to know both who wrote the content (the individual agent with local expertise) and which institution stands behind it (the brokerage). This dual attribution builds stronger trust signals.