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…
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…
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…
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…
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…
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…
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…
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…
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…
In the ever-changing world of SEO, there’s been growing chatter about the diminishing value of Schema Markup. At Schema App, we challenge that perspective. There is still value in Schema…