How are schema markup and structured data distinct from each other when it comes to optimizing for Local SEO?

In the context of Local SEO, schema markup and structured data serve similar purposes but may have different implementations and focuses. Here's how they differ:

1. **Schema Markup**: Schema markup refers to the specific vocabulary or set of tags used to mark up elements on a webpage, providing search engines with additional context about the content. In Local SEO, schema markup is often used to mark up local business information, such as name, address, phone number (NAP), business hours, reviews, ratings, and other relevant details. LocalBusiness schema, Organization schema, Event schema, and Review schema are commonly used types of schema markup for local businesses.

2. **Structured Data**: Structured data refers to any data that is organized in a structured format, making it easier for machines to understand and interpret. While schema markup is one form of structured data, structured data can also encompass other formats, such as JSON-LD (JavaScript Object Notation for Linked Data) or microformats (e.g., hCard for contact information). In Local SEO, structured data is typically used to provide search engines with detailed information about local businesses, events, products, and services, helping them better understand and display relevant information in search results.

In summary, schema markup is a specific implementation of structured data, using a standardized vocabulary of tags to mark up elements on a webpage. In Local SEO, both schema markup and other forms of structured data are used to provide search engines with detailed information about local businesses, helping to improve their visibility, relevance, and display in local search results.