Schema Testing Page

Introduction

This page serves as a comprehensive schema testing ground for search engines and AI crawlers. It contains examples of all structured data types used across SpotCircuit to help with indexing and understanding our content semantically.

Schema Types for AI-First SEO

At SpotCircuit, we implement a variety of schema.org structured data types to optimize content for both traditional search engines and AI platforms. Our schema strategy focuses on providing clear context, establishing topic authority, and creating semantic relationships between content.

How AI Uses Schema Markup

Large Language Models (LLMs) like ChatGPT, Claude, and Google's AI Overview utilize schema markup to:

• Understand content structure and context
• Extract key information efficiently
• Establish topic relevance and authority
• Verify factual information through citations
• Process speakable content for voice search

Schema Examples

This page includes the following schema markup types:

• Organization Schema
• Website Schema with Sitelinks Search Box
• BreadcrumbList Schema
• SpeakableSpecification Schema
• Entity Schema with Knowledge Graph connections
• Dataset Schema
• ClaimReview Schema
• Review Schema