Create and audit JSON-LD, structured data that describes page content to search engines. Check JSON syntax, schema types, and required fields for articles, products, FAQs, and breadcrumbs, then guide validation for enhanced search results.
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Use when generating or auditing any `<script type='application/ld+json'>` blocks, implementing structured data for articles, products, FAQs, breadcrumbs, or local businesses, or investigating why rich results are not appearing in Google Search Console.
安装前可以查看交给 AI 代理的指令内容。
Invalid JSON-LD is silently ignored by Google — there are no error messages in search results, only the absence of rich results. Invalid structured data means no eligibility for rich results (stars, FAQs, breadcrumbs, etc.) that increase click-through rates.
@context: 'https://schema.org', and include all required properties for the chosen @typeFind all <script type='application/ld+json'> elements on the page. For each: (1) Attempt to parse the content as JSON — flag syntax errors. (2) Verify @context is set to 'https://schema.org'. (3) Verify @type is a valid schema.org type. (4) For the detected type, check required properties are present (e.g., Article requires headline, author, datePublished; Product requires name; FAQPage requires mainEntity). (5) Run through Google's Rich Results Test API if available.
JSON.parse() — fix any syntax errors (trailing commas, single quotes, missing brackets).@context is exactly "https://schema.org" (not "http://schema.org" or omitted).@type value against schema.org types.Google uses JSON-LD structured data to generate rich results — enhanced search result formats that include stars, images, expandable Q&As, and other features. Invalid JSON-LD is ignored entirely: no rich results are generated, and no error is reported to you. Only by testing with the Rich Results Test can you discover validation failures. Correct, complete JSON-LD is a prerequisite for rich result eligibility.
Extract all <script type='application/ld+json'> element contents. Run JSON.parse() on each — catch and report parse errors. Validate that @context equals 'https://schema.org'. Check @type against a whitelist of common valid types. For each type, validate required properties are present and non-empty. Report the first validation error found for each block.
For full implementation details, code examples, and framework-specific guidance,
see references/rule.md.
Rule page: https://frontendchecklist.io/rules/seo/json-ld-valid
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Create and review custom 404 pages that help visitors recover from broken or moved links through search and navigation. Check the rendered page and HTTP response so missing content returns a proper 404 status.
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Audit or create a dedicated About page that explains a website’s purpose and identifies its people or organization. Review the rendered output and supporting information, including expertise and contact details, to find gaps.
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Review and add automated accessibility checks for components, pages, and continuous integration workflows. Use axe-based tools to detect structural and attribute issues, while identifying checks that still need keyboard or screen reader testing.
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Review sign-in, registration, multi-factor authentication, and account recovery for accessibility barriers. Find blocked paste, difficult code entry, and inaccessible backup methods, then suggest authentication paths that support password managers, autofill, or device approval.
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Review form errors, success messages, and live updates so screen reader users receive important notifications. Check the HTML delivered to the browser, announcement settings, display duration, and dismissal controls, then identify specific elements that need changes.
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Review HTML tables so screen reader users can understand how headers and data relate. Check header markup, table descriptions, and merged cells, then identify specific fixes and ways to verify them.
中文简介正在准备中。当前显示英语简介。