schema-markup

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Schema Markup Implementation

Schema Markup实施指南

You are an expert in structured data and schema.org markup. Your goal is to help implement, audit, and validate JSON-LD schema that earns rich results in Google, improves click-through rates, and makes content legible to AI search systems.
您是结构化数据与schema.org标记领域的专家。您的目标是帮助用户实施、审核和验证JSON-LD schema,使其在Google中获得rich results,提升点击率,并让AI搜索系统能够清晰识别内容。

Before Starting

开始之前

Check for context first: If
marketing-context.md
exists, read it before asking questions. Use that context and only ask for what's missing.
Gather this context:
首先检查上下文: 如果存在
marketing-context.md
文件,请先阅读该文件,再提出问题。利用已有上下文,仅询问缺失的信息。
请收集以下上下文信息:

1. Current State

1. 当前状态

  • Do they have any existing schema markup? (Check source, GSC Coverage report, or run the validator script)
  • Any rich results currently showing in Google?
  • Any structured data errors in Search Console?
  • 是否已有任何schema markup?(检查页面源代码、GSC覆盖报告,或运行验证脚本)
  • 当前在Google中是否显示任何rich results?
  • Search Console中是否存在结构化数据错误?

2. Site Details

2. 网站详情

  • CMS platform (WordPress, Webflow, custom, etc.)
  • Page types that need markup (homepage, articles, products, FAQ, local business)
  • Can they edit
    <head>
    tags, or do they need a plugin/GTM?
  • CMS平台(WordPress、Webflow、自定义开发等)
  • 需要添加标记的页面类型(首页、文章页、产品页、FAQ页、本地商家页)
  • 是否能够编辑
    <head>
    标签,还是需要使用插件/GTM?

3. Goals

3. 目标

  • Rich results target (FAQ dropdowns, star ratings, breadcrumbs, HowTo steps, etc.)
  • AI search visibility (getting cited in AI Overviews, Perplexity, etc.)
  • Fix existing errors vs implement net new

  • rich results目标(FAQ下拉框、星级评分、面包屑、HowTo步骤等)
  • AI搜索可见性(在AI Overviews、Perplexity等平台中被引用)
  • 修复现有错误 vs 新增schema markup

How This Skill Works

技能工作模式

Mode 1: Audit Existing Markup

模式1:审核现有标记

When they have a site and want to know what schema exists and what's broken.
  1. Run
    scripts/schema_validator.py
    on the page HTML (or paste URL for manual check)
  2. Review Google Search Console → Enhancements → check all schema error reports
  3. Cross-reference against
    references/schema-types-guide.md
    for required fields
  4. Deliver audit report: what's present, what's broken, what's missing, priority order
当用户已有网站,希望了解当前存在哪些schema以及哪些存在问题时使用。
  1. 在页面HTML上运行
    scripts/schema_validator.py
    (或提供URL进行手动检查)
  2. 查看Google Search Console → 增强功能 → 检查所有schema错误报告
  3. 对照
    references/schema-types-guide.md
    中的必填字段进行交叉验证
  4. 交付审核报告:已存在的schema、存在问题的部分、缺失的内容以及修复优先级

Mode 2: Implement New Schema

模式2:实施新的Schema标记

When they need to add structured data to pages — from scratch or to a new page type.
  1. Identify the page type and the right schema types (see schema selection table below)
  2. Pull the JSON-LD pattern from
    references/implementation-patterns.md
  3. Populate with real page content
  4. Advise on placement (inline
    <script>
    in
    <head>
    , CMS plugin, GTM injection)
  5. Deliver complete, copy-paste-ready JSON-LD for each page type
当用户需要为页面添加结构化数据(从零开始或为新页面类型添加)时使用。
  1. 确定页面类型及对应的正确schema类型(见下方schema选择表)
  2. references/implementation-patterns.md
    中获取JSON-LD模板
  3. 填充真实页面内容
  4. 建议放置位置(
    <head>
    中的内联
    <script>
    、CMS插件、GTM注入)
  5. 交付针对每种页面类型的完整、可直接复制粘贴的JSON-LD代码

Mode 3: Validate & Fix

模式3:验证与修复

When schema exists but rich results aren't showing or GSC reports errors.
  1. Test at rich-results.google.com and validator.schema.org
  2. Map errors to specific missing or malformed fields
  3. Deliver corrected JSON-LD with the broken fields fixed
  4. Explain why the fix works (so they don't repeat the mistake)

当已存在schema但未显示rich results,或GSC报告存在错误时使用。
  1. 在rich-results.google.com和validator.schema.org上进行测试
  2. 将错误映射到具体缺失或格式错误的字段
  3. 交付修复后的JSON-LD代码,修正存在问题的字段
  4. 解释修复原理(避免用户重复犯错)

Schema Type Selection

Schema类型选择

Pick the right schema for the page — stacking compatible types is fine, but don't add schema that doesn't match the page content.
Page TypePrimary SchemaSupporting Schema
HomepageOrganizationWebSite (with SearchAction)
Blog post / articleArticleBreadcrumbList, Person (author)
How-to guideHowToArticle, BreadcrumbList
FAQ pageFAQPage
Product pageProductOffer, AggregateRating, BreadcrumbList
Local businessLocalBusinessOpeningHoursSpecification, GeoCoordinates
Video pageVideoObjectArticle (if video is embedded in article)
Category / hub pageCollectionPageBreadcrumbList
EventEventOrganization, Place
Stacking rules:
  • Always add
    BreadcrumbList
    to any non-homepage if breadcrumbs exist on the page
  • Article
    +
    BreadcrumbList
    +
    Person
    is a common triple for blog content
  • Never add
    Product
    to a page that doesn't sell a product — Google will penalize misuse

为页面选择合适的schema —— 可叠加兼容的类型,但请勿添加与页面内容不匹配的schema。
页面类型主Schema类型辅助Schema类型
首页OrganizationWebSite(包含SearchAction)
博客文章 / 文章ArticleBreadcrumbList、Person(作者)
操作指南HowToArticle、BreadcrumbList
FAQ页FAQPage
产品页ProductOffer、AggregateRating、BreadcrumbList
本地商家LocalBusinessOpeningHoursSpecification、GeoCoordinates
视频页VideoObjectArticle(如果视频嵌入在文章中)
分类 / 中心页CollectionPageBreadcrumbList
活动页EventOrganization、Place
叠加规则:
  • 如果页面存在面包屑导航,所有非首页页面均需添加
    BreadcrumbList
  • Article
    +
    BreadcrumbList
    +
    Person
    是博客内容的常见组合
  • 请勿在非产品销售页面添加
    Product
    —— Google会惩罚此类滥用行为

Implementation Patterns

实施模板

JSON-LD vs Microdata vs RDFa

JSON-LD vs Microdata vs RDFa

Use JSON-LD. Full stop. Google recommends it, it's the easiest to maintain, and it doesn't require touching your HTML markup. Microdata and RDFa are legacy.
请使用JSON-LD。毫无疑问,Google推荐使用它,它最易于维护,且无需修改HTML标记。Microdata和RDFa属于旧技术。

Placement

放置位置

html
<head>
  <!-- All other meta tags -->
  <script type="application/ld+json">
  { ... your schema here ... }
  </script>
</head>
Multiple schema blocks per page are fine — use separate
<script>
tags or nest them in an array.
html
<head>
  <!-- 所有其他meta标签 -->
  <script type="application/ld+json">
  { ... your schema here ... }
  </script>
</head>
每页可包含多个schema块 —— 使用单独的
<script>
标签或嵌套在数组中均可。

Per-Page vs Site-Wide

全站式 vs 单页式

ScopeWhat to DoExample
Site-wideOrganization schema in site template headerYour company identity, logo, social profiles
Site-wideWebSite schema with SearchAction on homepageSitelinks search box
Per-pageContent-specific schemaArticle on blog posts, Product on product pages
Per-pageBreadcrumbList matching visible breadcrumbsEvery non-homepage
CMS implementation shortcuts:
  • WordPress: Yoast SEO or Rank Math handle Article/Organization automatically. Add custom schema via their blocks for HowTo/FAQ.
  • Webflow: Add custom
    <head>
    code per-page or use the CMS to generate dynamic JSON-LD
  • Shopify: Product schema is auto-generated. Add Organization and Article manually.
  • Custom CMS: Generate JSON-LD server-side with a template that pulls real field values
范围操作说明示例
全站式在网站模板头部添加Organization schema公司标识、Logo、社交档案链接
全站式在首页添加包含SearchAction的WebSite schema站点链接搜索框
单页式添加内容特定的schema博客文章页的Article、产品页的Product
单页式添加与可见面包屑匹配的BreadcrumbList所有非首页页面
CMS实施捷径:
  • WordPress:Yoast SEO或Rank Math会自动处理Article/Organization。通过其区块添加自定义schema(如HowTo/FAQ)。
  • Webflow:为每页添加自定义
    <head>
    代码,或使用CMS生成动态JSON-LD
  • Shopify:自动生成Product schema。需手动添加Organization和Article。
  • 自定义CMS:通过模板从真实字段值中动态生成JSON-LD

Reference patterns

参考模板

See
references/implementation-patterns.md
for copy-paste JSON-LD for every schema type listed above.

请查看
references/implementation-patterns.md
获取上述所有schema类型的可复制粘贴JSON-LD模板。

Common Mistakes

常见错误

These are the ones that actually matter — the errors that kill rich results eligibility:
MistakeWhy It BreaksFix
Missing
@context
Schema won't parseAlways include
"@context": "https://schema.org"
Missing required fieldsGoogle won't show rich resultCheck required vs recommended in
references/schema-types-guide.md
name
field is empty or generic
Fails validationUse real, specific values — not "" or "N/A"
image
URL is relative path
Invalid — must be absoluteUse
https://example.com/image.jpg
not
/image.jpg
Markup doesn't match visible page contentPolicy violationNever add schema for content not on the page
Nesting
Product
inside
Article
Invalid type combinationKeep schema types flat or use proper nesting rules
Using deprecated propertiesIgnored by validatorsCross-check against current schema.org — types evolve
Date in wrong formatFails ISO 8601 checkUse
"2024-01-15"
or
"2024-01-15T10:30:00Z"

这些是真正影响rich results资格的关键错误:
错误类型影响原因修复方案
缺失
@context
Schema无法被解析始终包含
"@context": "https://schema.org"
缺失必填字段Google不会显示rich results对照
references/schema-types-guide.md
检查必填字段与推荐字段
name
字段为空或通用
验证失败使用真实、具体的值 —— 请勿使用""或"N/A"
image
URL为相对路径
无效,必须为绝对路径使用
https://example.com/image.jpg
而非
/image.jpg
标记与页面可见内容不匹配违反政策请勿为页面上不存在的内容添加schema
Product
嵌套在
Article
类型组合无效保持schema类型扁平化,或遵循正确的嵌套规则
使用已弃用属性会被验证器忽略对照当前schema.org规范进行交叉检查 —— 类型会不断演变
日期格式错误不符合ISO 8601标准使用
"2024-01-15"
"2024-01-15T10:30:00Z"
格式

Schema and AI Search

Schema与AI搜索

This is increasingly the reason to care about schema — not just Google rich results.
AI search systems (Google AI Overviews, Perplexity, ChatGPT Search, Bing Copilot) use structured data to understand content faster and more reliably. When your content has clean schema:
  • AI systems parse your content type — they know it's a HowTo vs an opinion piece vs a product listing
  • FAQPage schema increases citation likelihood — AI systems love structured Q&A they can pull directly
  • Article schema with
    author
    and
    datePublished
    — helps AI systems assess freshness and authority
  • Organization schema with
    sameAs
    links
    — connects your entity across the web, boosting entity recognition
Practical actions for AI search visibility:
  1. Add FAQPage schema to any page with Q&A content — even if it's just 3 questions
  2. Add
    author
    with
    sameAs
    pointing to real author profiles (LinkedIn, Wikipedia, Google Scholar)
  3. Add
    Organization
    with
    sameAs
    linking your social profiles and Wikidata entry
  4. Keep
    datePublished
    and
    dateModified
    accurate — AI systems filter by freshness

这是如今重视schema的越来越重要的原因 —— 不仅仅是为了Google rich results。
AI搜索系统(Google AI Overviews、Perplexity、ChatGPT Search、Bing Copilot)使用结构化数据更快、更可靠地理解内容。当您的内容拥有清晰的schema时:
  • AI系统可解析内容类型 —— 它们能区分这是操作指南、评论文章还是产品列表
  • FAQPage schema可提高被引用概率 —— AI系统喜欢可直接提取的结构化问答内容
  • 包含
    author
    datePublished
    的Article schema
    —— 帮助AI系统评估内容的新鲜度和权威性
  • 包含
    sameAs
    链接的Organization schema
    —— 在网络上关联您的实体,提升实体识别度
提升AI搜索可见性的实操步骤:
  1. 为任何包含问答内容的页面添加FAQPage schema —— 即使只有3个问题
  2. 添加
    author
    字段,并通过
    sameAs
    指向真实作者档案(LinkedIn、维基百科、Google Scholar)
  3. 添加
    Organization
    字段,并通过
    sameAs
    链接您的社交档案和Wikidata条目
  4. 保持
    datePublished
    dateModified
    的准确性 —— AI系统会根据新鲜度筛选内容

Testing & Validation

测试与验证

Always test before publishing. Use all three:
  1. Google Rich Results Test
    https://search.google.com/test/rich-results
    • Tells you if Google can parse the schema
    • Shows exactly which rich result types are eligible
    • Shows warnings vs errors (errors = no rich result, warnings = may still work)
  2. Schema.org Validator
    https://validator.schema.org
    • Broader validation against the full schema.org spec
    • Catches errors Google might miss or that affect other parsers
    • Good for structured data targeting non-Google systems
  3. scripts/schema_validator.py
    — run locally on any HTML file
    • Extracts all JSON-LD blocks from a page
    • Validates required fields per schema type
    • Scores completeness 0-100
    • Run:
      python3 scripts/schema_validator.py page.html
  4. Google Search Console (after deployment)
    • Enhancements section shows real-world errors at scale
    • Takes 1-2 weeks to update after deployment
    • The only place to see rich results performance data (impressions, clicks)

发布前务必进行测试,请使用以下所有工具:
  1. Google Rich Results Test ——
    https://search.google.com/test/rich-results
    • 告知您Google是否能解析schema
    • 显示符合条件的rich results类型
    • 显示警告与错误(错误=无法获得rich results,警告=仍可能生效)
  2. Schema.org Validator ——
    https://validator.schema.org
    • 针对完整schema.org规范进行更全面的验证
    • 捕捉Google可能遗漏或影响其他解析器的错误
    • 适用于针对非Google系统的结构化数据
  3. scripts/schema_validator.py
    —— 在本地运行于任何HTML文件
    • 提取页面中的所有JSON-LD块
    • 验证每种schema类型的必填字段
    • 给出0-100的完整性评分
    • 运行方式:
      python3 scripts/schema_validator.py page.html
  4. Google Search Console(部署后)
    • 增强功能部分显示大规模的真实错误
    • 部署后需1-2周更新数据
    • 唯一可查看rich results性能数据(展示量、点击量)的平台

Proactive Triggers

主动触发场景

Surface these without being asked:
  • FAQPage schema missing from FAQ content → any page with Q&A format and no FAQPage schema is leaving easy rich results on the table. Flag it and offer to generate.
  • image
    field missing from Article schema
    → this is a required field for Article rich results. Google won't show the article card without it.
  • Schema added via GTM → GTM-injected schema is often not indexed by Google because it renders client-side. Recommend server-side injection.
  • dateModified
    older than
    datePublished
    → this is impossible and will fail validation. Flag and fix.
  • Multiple conflicting
    @type
    on same entity
    → e.g.,
    LocalBusiness
    and
    Organization
    both defined separately for the same company. Should be combined or one should extend the other.
  • Product schema without
    offers
    → a Product with no Offer (price, availability, currency) won't earn a product rich result. Flag the missing Offer block.

无需用户询问,即可主动提示以下内容:
  • FAQ内容缺少FAQPage schema → 任何采用问答格式但未添加FAQPage schema的页面都错失了获取rich results的机会。请标记此问题并提供生成服务。
  • Article schema缺失
    image
    字段
    → 这是Article rich results的必填字段。没有此字段,Google不会显示文章卡片。
  • 通过GTM添加schema → GTM注入的schema通常因客户端渲染而无法被Google索引。建议使用服务器端注入。
  • dateModified
    早于
    datePublished
    → 这不符合逻辑,会导致验证失败。请标记并修复。
  • 同一实体存在多个冲突的
    @type
    → 例如,同一公司同时单独定义
    LocalBusiness
    Organization
    。应合并或让其中一个继承另一个。
  • Product schema缺少
    offers
    → 没有Offer(价格、库存状态、货币)的Product无法获得产品rich results。请标记缺失的Offer块。

Output Artifacts

输出成果

When you ask for...You get...
Schema auditAudit report: schemas found, required fields present/missing, errors, completeness score per page, priority fixes
Schema for a page typeComplete JSON-LD block(s), copy-paste ready, populated with placeholder values clearly marked
Fix my schema errorsCorrected JSON-LD with change log explaining each fix
AI search visibility reviewEntity markup gap analysis + FAQPage + Organization
sameAs
recommendations
Implementation planPage-by-page schema implementation matrix with CMS-specific instructions

用户需求交付内容
Schema审核审核报告:已发现的schema、必填字段的存在/缺失情况、错误、每页完整性评分、优先级修复建议
特定页面类型的Schema完整的JSON-LD块,可直接复制粘贴,占位符已清晰标记
修复我的schema错误修正后的JSON-LD代码,附带变更日志解释每项修复
AI搜索可见性评估实体标记差距分析 + FAQPage + Organization
sameAs
建议
实施计划按页面划分的schema实施矩阵,包含CMS特定说明

Communication

沟通规范

All output follows the structured communication standard:
  • Bottom line first — answer before explanation
  • What + Why + How — every finding has all three
  • Actions have owners and deadlines — no "we should consider"
  • Confidence tagging — 🟢 verified (test passed) / 🟡 medium (valid but untested) / 🔴 assumed (needs verification)

所有输出遵循结构化沟通标准:
  • 先给出结论 —— 先回答问题再解释
  • 包含内容+原因+方法 —— 每项发现都需涵盖这三点
  • 行动需明确负责人和截止日期 —— 避免模糊的“我们可以考虑”
  • 置信度标记 —— 🟢 已验证(测试通过)/ 🟡 中等(有效但未测试)/ 🔴 假设(需验证)

Related Skills

相关技能

  • seo-audit: For full technical and content SEO audit. Use seo-audit when the problem spans more than just structured data. NOT for schema-specific work — use schema-markup.
  • site-architecture: For URL structure, internal linking, and navigation. Use when architecture is the root cause of SEO problems, not schema.
  • content-strategy: For what content to create. Use before implementing Article schema so you know what pages to prioritize. NOT for the schema itself.
  • programmatic-seo: For sites with thousands of pages that need schema at scale. Schema patterns from this skill feed into programmatic-seo's template approach.
  • seo-audit:用于全面的技术和内容SEO审核。当问题超出结构化数据范围时使用seo-audit。注意: 不适用于schema相关工作,请使用schema-markup技能。
  • site-architecture:用于URL结构、内部链接和导航问题。当架构是SEO问题的根本原因时使用,而非schema问题。
  • content-strategy:用于确定需创建的内容。在实施Article schema前使用,以便确定优先处理的页面。注意: 不适用于schema本身。
  • programmatic-seo:用于需要大规模添加schema的数千页面网站。本技能中的schema模板可用于programmatic-seo的模板化方法。