Your Brand’s AI Concierge: How to Be Discoverable in the Agentic Web
Imagine a world where your brand’s website is never visited — only called, or invoked, by AI. No homepage, no scrolls, no clicks. A user’s AI books the consult, pulls…
AI
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…
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…
The Semantic Value of Schema Markup in 2025
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…
The 4 Steps to Building a Content Knowledge Graph
Knowledge graphs have been central to semantic technology for decades. From healthcare and eCommerce to fraud detection and SEO, knowledge graphs empower organizations to harness the full potential of their…
Is Google’s Generative AI Search an Opportunity or Threat for SEOs?
ChatGPT and Bing kicked off 2023 with a bang by revealing their AI-powered chatbot and search engine. This past May at Google I/O, Google announced its brand new Search Generative…
The Future of Search: AI, Machine Learning, and Schema Markup
Over the past few months, there’s been a lot of buzz around ChatGPT, the “New Bing” and Google Bard. These new innovations in search are powered by machine learning and…