'json-ld' 검색 결과

Audit website structured data, the markup that describes businesses and content to machines. Detect errors and missing details, then generate JSON-LD code and a report with recommendations for improving AI readability.

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• Audit structured data on a company website
• Generate markup for products, articles, or local businesses
• Review links connecting official profiles

Detect and check structured data, machine-readable descriptions of page content, and generate suitable Schema.org JSON-LD snippets. Get a report of missing fields, syntax errors, and markup issues, plus code prepared for implementation.

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• Check existing structured data for errors
• Generate markup for products, articles, or businesses
• Review deprecated schema types

Check article pages for structured data, machine-readable details that help search engines understand content. Review required properties, add Article metadata in JSON-LD format, and verify the rendered page and HTTP response for specific implementation gaps.

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• Checking structured data on blog articles
• Adding Article metadata in JSON-LD format
• Finding missing headlines, images, dates, or authors

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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• Creating structured data for articles and products
• Checking FAQ and breadcrumb structured data
• Finding JSON syntax errors and missing required fields

Audit publication and update dates on articles and blog posts. Add visible dates and structured metadata, information search engines can read, and check that modification dates reflect meaningful content changes rather than routine deployments.

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• Auditing date displays on blog posts
• Adding publication and update dates to Article JSON-LD
• Checking date handling in CMS templates

Audit breadcrumb structured data, a machine-readable description of a page’s navigation path. Check that BreadcrumbList matches the visible trail and site hierarchy, then guide JSON-LD changes using the rendered HTML and HTTP response.

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• Check breadcrumb structured data
• Add JSON-LD for visible breadcrumbs
• Review site hierarchy after template changes

Add or repair structured data, labels that help search engines understand page content. The skill selects suitable schema types, prepares JSON-LD code, and provides validation checks while distinguishing supported Google search features from retired ones.

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• Add structured data to product or article pages
• Find and fix errors in existing markup
• Implement breadcrumb structured data

Create or fix structured data, code that describes page content to search engines. The skill selects suitable schema.org types, prepares JSON-LD markup, and provides placement instructions and validation checks for products, articles, FAQs, and other pages.

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• Add structured data to product pages
• Describe articles and FAQs for search engines
• Fix errors in existing structured data

Audit, create, and fix structured data, the labels that help search systems understand web pages. Get JSON-LD code for articles, products, and other page types, plus validation findings and guidance on where to place it.

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• Adding structured data to articles or product pages
• Investigating structured data errors in Search Console
• Auditing existing markup and prioritizing fixes

Add or review Product structured data, machine-readable product details, on shop pages. Check names, images, prices, availability, and ratings against visible content, then validate the markup for eligibility to show enhanced Google search results.

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• Add Product JSON-LD to product pages
• Check structured prices against displayed prices
• Review availability and rating fields

Audit and add structured organization data on a business or brand homepage. Check machine-readable details such as the official name, logo, contact information, and social profiles to help Google understand the organization and its search information panel.

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• Audit organization data on a company homepage
• Add brand names, logos, and contact details in JSON-LD
• Check links to official social profiles

Audit structured data for businesses serving a physical location or geographic area. Check or add LocalBusiness JSON-LD, a machine-readable format for business details, verify addresses against visible page content, and validate the markup with Google's Rich Results Test.

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• Audit structured data on a local business website
• Add business details to home and contact pages
• Choose a specific type for restaurants or stores

Audit article update dates across the visible page, HTTP response headers, and structured data that describes the article to search engines. Align these signals with substantive content changes and review how the CMS or build process updates them.

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• Auditing update dates on articles and blog posts
• Reviewing CMS rules for updating modification dates
• Checking timestamps applied during static site deployments

Add FAQ sections to landing pages or blog posts and generate FAQPage structured data, a format search engines can read. Check required question and answer fields, valid syntax, and consistency with content visitors can see.

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• Adding FAQ sections to landing pages or blog posts
• Generating structured data from existing questions and answers
• Checking FAQ markup against visible page content

Use AltoRank to check whether search engines and AI assistants can read a site, review stored Search Console data, research keywords, and create SEO article drafts. Drafts enter a review queue where a person decides what to publish.

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• Check a site's readiness for search engines and AI assistants
• Review stored Search Console performance and coverage data
• Research keywords for future articles

Check and add structured data that describes user reviews and average ratings on product or service pages. Verify required fields against real reviews and validate the markup for star-rating search results.

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• Audit review markup on product pages
• Add average ratings from genuine user reviews
• Validate eligibility for star-rating search results

Audit a site's SEO, plan related topic groups and internal links, and create page briefs and article drafts with metadata and structured data. Save findings and deliverables locally so later sessions can continue from previous work.

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• Audit technical SEO issues across key site pages
• Plan topic groups and internal links
• Create page briefs and SEO article drafts

🇺🇸 SEO & GEO Dual-Engine Playbook 2026 — Rank on Google AND get cited by AI search (ChatGPT, Perplexity, Claude, Gemini). Battle-tested from AFFiNE (60k GitHub stars in 24 months) and 150+ AI startup consultations. E-E-A-T writing voice system, keyword funnel strategy, JSON-LD schema templates, comparison page SOP, IndexNow setup, Generative Engine Optimization content patterns. **Optimized for dev tools / OSS / B2B SaaS. 2C products (education, apps, games): see 2c-adaptation guide in references/.** 🇨🇳 SEO & GEO 双引擎增长手册 —— 同时拿下 Google 排名和 AI 搜索引用（ChatGPT、Perplexity、Claude、文心一言）的完整方法论。AFFiNE 60k stars 与 150+ AI 创业公司咨询实战验证。E-E-A-T 写作声音系统、关键词漏斗、JSON-LD 结构化数据、竞品对比页 SOP、IndexNow 推送、生成式引擎优化内容模式。**默认适用于开发者工具 / 开源项目 / B2B SaaS，2C 产品（教育/应用/游戏）请参考 references/2c-adaptation.md。** 🇯🇵 SEO & GEO デュアルエンジングロースプレイブック — Google検索とAI検索（ChatGPT、Perplexity、Claude）の両方で評価される手法。AFFiNE 60k starsと150社以上のAIスタートアップコンサルティングで検証。E-E-A-Tライティング、キーワードファネル、Schema.org構造化データ、比較ページSOP。**デフォルトは開発者ツール／OSS／B2B SaaS向け。2C製品（教育・アプリ・ゲーム）はreferences/2c-adaptation.mdを参照。** 🇰🇷 SEO & GEO 듀얼 엔진 성장 플레이북 — 구글 검색과 AI 검색(ChatGPT, Perplexity, Claude) 양쪽 모두에서 인용되는 방법론. AFFiNE 60k 스타와 150+ AI 스타트업 컨설팅으로 검증. E-E-A-T 글쓰기, 키워드 퍼널, Schema.org 구조화 데이터, 비교 페이지 SOP. **기본값은 개발자 도구/OSS/B2B SaaS용. 2C 제품(교육·앱·게임)은 references/2c-adaptation.md 참조.** Triggers: "SEO" | "GEO" | "Generative Engine Optimization" | "AI search optimization" | "ChatGPT SEO" | "Perplexity SEO" | "Claude SEO" | "search optimization" | "content SEO" | "technical SEO" | "schema markup" | "JSON-LD" | "structured data" | "IndexNow" | "E-E-A-T" | "keyword strategy" | "keyword funnel" | "comparison page" | "programmatic SEO" | "SaaS SEO" | "搜索优化" | "AI 搜索" | "内容 SEO" | "GEO 优化" | "生成式引擎优化"

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Audit informational pages so AI assistants can extract and understand their content. Review headings, HTML structure, content availability without JavaScript, and structured data, then suggest changes that make individual sections clearer when read on their own.

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• Review pages intended for AI-generated answers
• Make headings and sections understandable on their own
• Check whether key content is available without JavaScript

Review author information in structured data, a machine-readable description of page content. Check names, profile links, and connections to articles or pages, then identify corrections using the rendered HTML and HTTP response.

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• Check author data on article pages
• Connect authors to external profiles
• Review author markup in page templates

Audit and improve content intended for citation in AI answers. Review evidence, author information, and structure, generate revised content and structured metadata, and keep a local record of observed citations across AI services.

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• Audit existing articles for evidence and credibility gaps
• Revise article structure and references for AI answers
• Record citations observed across AI services

Improve how search engines discover and understand a website by reviewing titles, descriptions, links, and sitemaps. Add structured data, machine-readable descriptions of page content, and use checklists to identify technical and on-page SEO issues.

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• Review page titles and meta descriptions
• Check crawl settings and sitemaps
• Add structured data to articles or product pages

Generate JSON-LD structured data markup for rich results in Google Search. Supports FAQ, HowTo, Article, Product, LocalBusiness, and multi-type schemas. Validates against Google requirements and provides implementation guidance. Use when asked to "add schema markup", "generate structured data", "JSON-LD", "rich snippets", "FAQ schema", "product markup", "add structured data to my page", "how to get rich snippets", or any structured data task.

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Use when the user asks to "optimize meta tags", "write title tags / meta descriptions", "add Open Graph or Twitter cards", or "generate schema / JSON-LD" for FAQ, HowTo, Article, Product, or LocalBusiness rich-result candidates. Produces title/description options, an OG+Twitter block, and validated JSON-LD for the document head. Not for body copy — use content-writer; not for crawl/index technical issues — use technical-seo-checker. 标题优化/元描述/Schema标记/结构化数据

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