Blog posts help AI attribute your product expertise and cite your buying guides. When a shopper asks "what desk lamp is best for reading?" AI looks for structured content with a clear author, publisher, and publish date. This blueprint gives your blog posts the markup they need to become citable sources.
Each blog post must declare itself as a standalone piece of content with a named author, a publishing organization, and clear dates. AI systems use this to evaluate authority, freshness, and attribution — the three pillars of citable content.
BlogPosting type with headline, datePublished, and dateModified tells AI this is a dated piece of content, not a static page. Freshness matters for recommendations.author with a Person type and URL gives AI a real human to attribute expertise to. Anonymous content is harder for AI to cite with confidence.publisher property connects your content authority to your brand. AI uses this to assess the credibility of your buying advice.image property provides a visual reference that AI systems and social platforms use when previewing or citing your post.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
headlinedescriptiondatePublisheddateModifiedauthorpublisherurlimagemainEntityOfPage@idCopy 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 Ecommerce 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. Author name 2. Author url 3. Blog faq answer 4. Blog faq question 5. Domain 6. Modified date 7. Post description 8. Post image 9. Post slug 10. Post title 11. Publish date 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 Ecommerce 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 block belongs in a <script type="application/ld+json"> tag in the <head> of each blog post.
{
"@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",
"url": "https://YOUR_DOMAIN.com/blog/YOUR_POST_SLUG/",
"datePublished": "YOUR_PUBLISH_DATE",
"dateModified": "YOUR_MODIFIED_DATE",
"image": "https://YOUR_DOMAIN.com/YOUR_POST_IMAGE.jpg",
"author": {
"@type": "Person",
"name": "YOUR_AUTHOR_NAME",
"url": "YOUR_AUTHOR_URL"
},
"publisher": {
"@id": "https://YOUR_DOMAIN.com/#organization"
},
"mainEntityOfPage": {
"@id": "https://YOUR_DOMAIN.com/blog/YOUR_POST_SLUG/#webpage"
}
},
{
"@type": "WebPage",
"@id": "https://YOUR_DOMAIN.com/blog/YOUR_POST_SLUG/#webpage",
"url": "https://YOUR_DOMAIN.com/blog/YOUR_POST_SLUG/",
"name": "YOUR_POST_TITLE",
"isPartOf": {
"@type": "WebSite",
"@id": "https://YOUR_DOMAIN.com/#website"
}
},
{
"@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_BLOG_FAQ_QUESTION_1",
"acceptedAnswer": {
"@type": "Answer",
"text": "YOUR_BLOG_FAQ_ANSWER_1"
}
},
{
"@type": "Question",
"name": "YOUR_BLOG_FAQ_QUESTION_2",
"acceptedAnswer": {
"@type": "Answer",
"text": "YOUR_BLOG_FAQ_ANSWER_2"
}
}
]
}
]
}
A product page is transactional — it describes something you can buy. A blog post is informational — it demonstrates expertise and helps shoppers make decisions. AI systems use blog posts as citable sources when answering research questions ("what should I look for in a desk lamp?") and product pages when answering purchase questions ("where can I buy a desk lamp?"). Both are valuable, but they serve different stages of the buying journey.
AI systems evaluate content credibility partly through authorship. A buying guide written by a named person with a verifiable profile carries more weight than anonymous content. The author property with a Person type and URL gives AI a way to assess whether the author has relevant expertise, which affects how confidently it cites your content.
There is no minimum threshold. Even a single well-structured blog post can appear in AI responses if it answers a specific question well. Focus on quality over quantity — a detailed buying guide with proper structured data is more valuable than a dozen thin posts. That said, consistent publishing signals ongoing expertise, which AI systems factor into authority assessments over time.