Complete JSON-LD examples for common schema types. WebSite (with SearchAction) Implementation Example (Next.js) For company/brand homepage or about page. For ho
This skill provides complete, ready-to-use JSON-LD schema markup examples for a wide range of common content types including Organization, WebSite with SearchAction, Article, Product, SoftwareApplication, FAQPage, HowTo, BreadcrumbList, LocalBusiness, and Event. Each example is structured according to schema.org specifications to improve search engine understanding and enable enhanced search features like rich snippets. The examples cover key details such as company contacts, product pricing and availability, article metadata, and event scheduling, making them practical templates for SEO and content teams to implement directly or adapt.
The skill also includes an implementation example for Next.js, demonstrating how to integrate schema markup within modern JavaScript frameworks. By using these examples, marketers can ensure their structured data is accurate, comprehensive, and aligned with Google’s guidelines, which helps improve organic visibility, click-through rates, and overall search performance.
This skill is designed for SEO specialists who manage technical on-page optimization and want to ensure accurate structured data across multiple content types. Content strategists and digital marketing managers benefit from quick access to standard schema examples to guide their teams or agencies in consistent implementation. Agencies handling client websites can use these examples as a starting point for diverse industries, from e-commerce product pages to local business listings and event promotions.
It suits scenarios where teams need to verify compliance with schema.org standards or rapidly prototype structured data without reinventing markup for each content type. Growth leads aiming for measurable gains in search features and SERP real estate will also find this skill valuable for prioritizing schema rollout efforts.
Practitioners typically start by identifying the page type they want to mark up, such as a product page, FAQ, or blog article. Next, they select the corresponding JSON-LD example that matches the content to ensure relevant properties like price, rating, or author are included. After customizing the markup with brand-specific details, URLs, and dates, they insert the JSON-LD script into the page header or body.
Validation follows, often using Google’s Rich Results Test or Schema Markup Validator to confirm the structured data is error-free and complete. Finally, marketers monitor search console reports for improvements in rich result impressions and clicks, iterating on schema detail as needed to optimize performance.
How do I choose the right schema type? Select the schema type that best matches your content’s purpose, such as Product for e-commerce or FAQPage for help pages. Can I combine multiple schema types on one page? Yes, you can include multiple JSON-LD objects to cover different content elements like a HowTo within an Article. What if my platform doesn’t support JSON-LD natively? You can usually add JSON-LD scripts manually in the head or via tag manager tools to implement schema markup regardless of CMS limitations.
Attach this skill to your Metaflow agent task when you need to generate or validate structured data examples for SEO or content projects. The agent can provide tailored JSON-LD snippets based on the desired schema type and content details you specify. Expect outputs that align with schema.org standards and can be directly embedded or adapted for your site’s markup. This skill streamlines the process of creating accurate schema markup, helping you maintain search visibility and structured data quality.
For broader context, see our roundup of claude skills for marketing, and read Claude skills for SEO for related setup guidance.