A dedicated FAQ page lets you answer the exact questions readers type into AI systems. This blueprint structures those question-and-answer pairs so AI can pull direct answers from your site instead of guessing or citing a competitor.
A dedicated FAQ page lets you answer the exact questions readers type into AI systems. This blueprint structures those question-and-answer pairs so AI can pull direct answers from your site instead of guessing or citing a competitor.
FAQPage node is the main entity on this page, not a supporting node. It declares the page itself as a structured collection of questions and answers, which AI systems prioritize for direct-answer results.mainEntity entry is a Question with an acceptedAnswer. Write questions the way readers actually phrase them.about reference back to the Organization node connects these answers to your publication entity.BreadcrumbList places this FAQ page 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 News Outlet FAQ 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. Answer 2. Domain 3. Faq page title 4. Publication name 5. Question 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 News Outlet FAQ" - 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 this template and replace every YOUR_* placeholder with your own data. Add or remove question entries to match the FAQs you want to surface. This block belongs in a <script type="application/ld+json"> tag in the <head> of your FAQ page.
{
"@context": "https://schema.org",
"@graph": [
{
"@type": "FAQPage",
"@id": "https://YOUR_DOMAIN.com/faq/#faqpage",
"name": "YOUR_FAQ_PAGE_TITLE",
"url": "https://YOUR_DOMAIN.com/faq/",
"isPartOf": { "@id": "https://YOUR_DOMAIN.com/#website" },
"about": { "@id": "https://YOUR_DOMAIN.com/#publisher" },
"mainEntity": [
{
"@type": "Question",
"name": "YOUR_QUESTION_1",
"acceptedAnswer": { "@type": "Answer", "text": "YOUR_ANSWER_1" }
},
{
"@type": "Question",
"name": "YOUR_QUESTION_2",
"acceptedAnswer": { "@type": "Answer", "text": "YOUR_ANSWER_2" }
},
{
"@type": "Question",
"name": "YOUR_QUESTION_3",
"acceptedAnswer": { "@type": "Answer", "text": "YOUR_ANSWER_3" }
},
{
"@type": "Question",
"name": "YOUR_QUESTION_4",
"acceptedAnswer": { "@type": "Answer", "text": "YOUR_ANSWER_4" }
},
{
"@type": "Question",
"name": "YOUR_QUESTION_5",
"acceptedAnswer": { "@type": "Answer", "text": "YOUR_ANSWER_5" }
}
]
},
{
"@type": "NewsMediaOrganization",
"@id": "https://YOUR_DOMAIN.com/#publisher",
"name": "YOUR_PUBLICATION_NAME",
"url": "https://YOUR_DOMAIN.com"
},
{
"@type": "BreadcrumbList",
"@id": "https://YOUR_DOMAIN.com/faq/#breadcrumb",
"itemListElement": [
{ "@type": "ListItem", "position": 1, "name": "Home", "item": "https://YOUR_DOMAIN.com/" },
{ "@type": "ListItem", "position": 2, "name": "FAQs", "item": "https://YOUR_DOMAIN.com/faq/" }
]
}
]
}
A dedicated FAQ page gives AI a single, concentrated source of answers. AI systems are more likely to pull answers from a page whose primary purpose is answering questions than from a page where FAQs are a secondary element.
Focus on questions readers actually ask: editorial policy, submission guidelines, correction process, advertising inquiries, and content licensing. Write them in natural language as a reader would phrase them.
Aim for at least five to ten well-written pairs. AI systems evaluate answer quality, so five strong answers will outperform twenty thin ones.