The fastest way to add schema markup in WordPress is installing Yoast SEO or Rank Math, both of which automatically generate Organization, WebSite, and Article schema on relevant pages. These plugins handle the JSON-LD format Google prefers and require zero coding. For most small business sites, this covers your base requirements. If you need more control or specific schema types like LocalBusiness, Event, Product, or FAQ schema, consider Schema Pro or WP Schema Pro. These premium plugins offer visual builders where you map WordPress fields to schema properties. You can set conditions so Recipe schema only appears on recipe posts, or Product schema only on WooCommerce pages. Expect to spend 1-3 hours configuring conditional logic for a typical site. For custom implementations, add JSON-LD directly to your theme. Insert the script in functions.php using wp_head or wp_footer hooks, or place it in header.php between script tags with type application/ld+json. This approach gives you complete control but requires maintaining the code through theme updates. At Ottawa SEO, we use child themes or a custom plugin for client schema to survive theme changes. Manual schema makes sense when you have unique requirements like custom post types with specific properties, or when you're running 20+ sites and want identical schema deployment through a must-use plugin. It's overkill for standard blogs or service sites where Rank Math's built-in options work fine. After implementation, validate your markup using Google's Rich Results Test and Schema Markup Validator. Check Search Console's Enhancements report for errors. Common mistakes include missing required properties like datePublished on articles or address fields on LocalBusiness schema. Fix these immediately because invalid schema can prevent rich results. One warning: don't layer multiple schema plugins. Running Yoast plus Schema Pro often creates duplicate or conflicting markup. Pick one method and commit. We've seen sites lose rich snippets because two plugins were fighting over the same schema types, creating malformed JSON that Google rejected.