Introducing Schema App’s Entity Manager
As search engines evolve to become more semantic and powered by AI, it’s essential for SEO teams to clarify the entities referenced in their content. This not only improves the…
What Is Entity SEO?
Entity SEO is an approach to search optimization that focuses on entities — unique, well-defined concepts such as people, places, organizations, or products — rather than just targeting keywords. As…
How to Measure and Optimize Your Website’s Performance in ChatGPT and AI Search Engines
AI search engines like ChatGPT, Gemini, Microsoft Copilot, and Perplexity.ai are rapidly transforming how people find information, evaluate solutions, and interact with brands. Instead of sifting through blue links, users…
Unlocking the Value of Schema Markup: SEO, Content, and AI
In today’s rapidly evolving digital landscape, organizations are under increasing pressure to make their content not just discoverable—but understood. While structured data has long been associated with SEO performance, its…
Navigating AI Chatbots and AI Overviews: Key Observations and Strategies
As AI chatbots and AI Overviews (AIOs) continue to reshape the SEO landscape, we’ve been paying close attention to how these changes are impacting search visibility and site performance at…
What is an @id in Structured Data?
In JSON-LD structured data, an @id is a property that assigns a unique resource identifier (URI) to an entity. This identifier allows you to refer back to a specific entity…
How to Identify Entities in Your Content Using Schema Markup
In the age of semantic search, search engines no longer rely solely on keywords to understand content. Instead, they identify entities—distinct and unique things such as people, places, organizations, and…
How Schema App’s Dynamic Schema Markup Solution Ensures Long-Term Success
When organizations implement Schema Markup, a common question arises: Why do I need an ongoing solution like Schema App once my site is marked up and a Knowledge Graph is…
Why Structured Data, Not Tokenization, is the Future of LLMs
For months, skeptics have argued that Large Language Models (LLMs) like ChatGPT don’t truly “understand” structured data formats like JSON-LD Schema Markup. A common critique is that LLMs process everything…
RDF and Schema Markup: The Power of Relationships in the Age of Intelligent Systems
As AI-driven search and machine learning continue to evolve, modern systems are better than ever at processing and interpreting data. This evolution raises an important question: how can we ensure…