The archive page gives AI a structured view of your entire published content library. This blueprint helps AI understand the depth and breadth of your publication history, enabling better content discovery and topical authority assessment.
The archive page gives AI a structured view of your entire published content library. This blueprint helps AI understand the depth and breadth of your publication history, enabling better content discovery and topical authority assessment.
CollectionPage signals that this is an organized listing of content, not a single article.ItemList of published articles gives AI a structured overview of your content archive.BreadcrumbList places the archive within your site hierarchy.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 Blogger Archive 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. Archive page description 2. Archive page title 3. Domain 4. Faq answer 5. Faq question 6. Publication name 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 Blogger Archive" - 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 archive page.
{
"@context": "https://schema.org",
"@graph": [
{
"@type": "CollectionPage",
"@id": "https://YOUR_DOMAIN.com/archive/#webpage",
"url": "https://YOUR_DOMAIN.com/archive/",
"name": "YOUR_ARCHIVE_PAGE_TITLE",
"description": "YOUR_ARCHIVE_PAGE_DESCRIPTION",
"isPartOf": { "@id": "https://YOUR_DOMAIN.com/#website" },
"about": { "@id": "https://YOUR_DOMAIN.com/#publisher" }
},
{
"@type": "Organization",
"@id": "https://YOUR_DOMAIN.com/#publisher",
"name": "YOUR_PUBLICATION_NAME",
"url": "https://YOUR_DOMAIN.com"
},
{
"@type": "BreadcrumbList",
"@id": "https://YOUR_DOMAIN.com/archive/#breadcrumb",
"itemListElement": [
{ "@type": "ListItem", "position": 1, "name": "Home", "item": "https://YOUR_DOMAIN.com/" },
{ "@type": "ListItem", "position": 2, "name": "Archive", "item": "https://YOUR_DOMAIN.com/archive/" }
]
},
{
"@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" } }
]
}
]
}
List a representative sample or the most important articles. For blogs with hundreds of posts, AI does not need every article in a single ItemList. Pagination and individual article markup handle the depth.
Either works for structured data. The key is that each entry has a name and url so AI can discover and crawl individual articles. Your visual layout is a separate concern from the structured data.
Yes. AI uses archive depth as a signal of sustained publishing. A blog with years of consistent content in a topic area carries more authority than one with a handful of recent posts.