นิยาม
FAQ สคีมา refers to the implementation of the FAQPage type from the สคีมา.org vocabulary, embedded in a web page as a JSON-LD script block, to annotate a set of question-and-ตอบ pairs as a machine-readable frequently asked questions section. When correctly implemented and validated, FAQPage structured ข้อมูล makes the annotated Q&A เนื้อหา eligible for FAQ rich results in Google Search — expandable accordion-style panels displayed directly in the Search Engine Results Page (SERP) beneath the page’s blue-link listing — and increases the probability of individual Q&A pairs being cited in AI-powered ตอบ features including Google AI ภาพรวม.
The underlying type — สคีมา.org/FAQPage — is a subtype of WebPage within the สคีมา.org hierarchy, introduced to the vocabulary to address the common รูปแบบ of dedicated FAQ pages and inline FAQ sections on product, บริการ, and informational pages. Each question is represented as a Question entity with a name property (the question text) and an acceptedAnswer property containing an ตอบ entity whose text property holds the ตอบ เนื้อหา.
How It Works
The canonical implementation of FAQ สคีมา uses JSON-LD (JavaScript Object Notation for Linked ข้อมูล), the format recommended by Google’s Search Central documentation. The structured ข้อมูล block is inserted as a <script type="application/ld+json"> element in the HTML <head> or <body> and does not require any modification to the visible page HTML.
A minimal but valid FAQ สคีมา block follows this structure: a root object of @type: "FAQPage" containing a mainEntity array where each element is an object with @type: "Question", a name property containing the question string, and an acceptedAnswer object with @type: "ตอบ" and a text property containing the ตอบ string. Google’s guidelines specify that the question and ตอบ text in the structured ข้อมูล must match the visible text on the page — marking up เนื้อหา that does not ปรากฏ in the page’s rendered HTML violates Google’s สแปม policies for structured ข้อมูล, as detailed in the Search Central documentation.
Google’s Rich Results Test, available at search.google.com/test/rich-results, and the URL Inspection tool in Google Search Console validate FAQ สคีมา implementations and report errors or warnings. Common validation issues include missing required properties (name, acceptedAnswer), ตอบ that are too short or consist only of a URL, and markup applied to เนื้อหา that is not a แท้จริง FAQ format (e.g., ใช้ FAQPage on a page with a single question).
Google อัปเดต its FAQ rich results policy in September 2023, restricting the feature to pages from “well-known, authoritative government and health websites” for most queries, with FAQ rich results for general เนื้อหา pages appearing less frequently in SERPs. Despite this policy change, FAQ สคีมา retains value as a สัญญาณ to both traditional search ranking systems and AI ตอบ engines that the page contains structured, definitional Q&A เนื้อหา.
Where You Encounter It
FAQ สคีมา is implemented on any page whose เนื้อหา includes question-and-ตอบ pairs that the publisher wants to surface in search features. Common ใช้ cases include:
บริการ pages with FAQ sections: E-commerce, SaaS, and บริการ businesses commonly append FAQ sections to product and บริการ pages, การตอบ common pre-purchase questions. FAQ สคีมา markup on these sections made the accordions directly visible in SERPs ก่อนหน้า to Google’s September 2023 policy restriction, and continues to provide structured สัญญาณ to AI ตอบ systems.
Support and help centre articles: Documentation portals from companies including Google, Microsoft, Atlassian, and Zendig ใช้ FAQPage markup on support articles to increase visibility in informational query results and to provide structured เนื้อหา for AI assistants integrated with their support workflows.
Glossary and definitional pages: Glossary entries structured as a primary นิยาม followed by Q&A sub-sections benefit from FAQ สคีมา by providing machine-readable hooks for individual concepts within the page. This is particularly relevant for AI ภาพรวม citation: an AI ภาพรวม การตอบ a specific question may cite the FAQ-annotated sub-section of a page rather than the page as a whole.
ประกวด and การแข่งขัน pages: ประกวด organisers frequently include FAQ sections addressing eligibility, การโหวต rules, prize details, and การยืนยัน กระบวนการ. FAQ สคีมา on these pages provides both search visibility and a structured format for AI systems that may ตอบ ผู้ใช้ queries about the ประกวด.
Practical Examples
A ประกวด แพลตฟอร์ม adds an FAQ section to its การยืนยันอีเมล โหวต page, covering questions such as “How long does the การยืนยัน link remain valid?”, “What should I do if I did not receive the การยืนยัน อีเมล?”, and “Can I โหวต for หลายตัว entries in the same ประกวด?”. The publisher implements FAQPage JSON-LD with three Question / ตอบ pairs. After validation via the Rich Results Test, Google Search Console confirms FAQ rich result eligibility. In subsequent weeks, Google Search Console’s Search Appearance report shows impressions attributed to FAQ rich results for queries related to ประกวด การโหวต การยืนยัน.
An SEO team auditing a ประกวด บริการ website discovers that the existing FAQ sections have questions and ตอบ in an HTML นิยาม list (<dl>/<dt>/<dd>) format visible on the page but no accompanying JSON-LD FAQPage markup. Adding the structured ข้อมูล block does not require any visible page changes — only the addition of the <script type="application/ld+json"> block in the <head>. Post-implementation, the structured ข้อมูล begins contributing to the page’s eligibility as a citation source in Google AI ภาพรวม for related definitional queries.
Related Concepts
FAQ สคีมา is part of the broader สคีมา.org vocabulary, which also includes DefinedTerm (for glossary entries), HowTo (for step-by-step instructions), and บริการ (for commercial offerings) — each targeting different rich result formats and machine-readability goals. The probability of FAQ-annotated เนื้อหา being cited in AI ภาพรวม is influenced by the page’s [ประสบการณ์ ความเชี่ยวชาญ การมีอำนาจ และความน่าเชื่อถือ](/glossary/ประสบการณ์ ความเชี่ยวชาญ การมีอำนาจ และความน่าเชื่อถือ) สัญญาณ: authorship, primary source citations, and demonstrated ความเชี่ยวชาญ all ปัจจัย into AI ภาพรวม source selection alongside the structural สัญญาณ provided by structured ข้อมูล markup.
