Neural Search
Rethink search through a semantic lens that goes beyond keywords to understand meaning and intent. This work makes content and product discovery more relevant, contextual, and cross-channel.
Why SEO Success Now Depends on Entity Architecture, Not Volume
Shift from content volume to a robust entity architecture. Learn how to structure your knowledge so AI systems and LLMs can understand, trust, and cite your brand.
From Retrieval to Reasoning: The Architectural Evolution of Information Systems for Large Language Models
From RAG to multi-agent systems: my GPT-5 testing reveals how AI architectural evolution makes structured data essential for website visibility.
Semantic Alchemy: Distilling Data into Knowledge Graphs for Success in an AI-Driven World
Discover how Semantic Alchemy turns messy product data into knowledge graphs to drive AI success in search and ecommerce.
Query Fan-Out: A Data-Driven Approach to AI Search Visibility
Google’s AI Mode doesn’t just process your query, it fans it out into many follow-up searches across Google’s Knowledge Graphs and the web. Now it does the same with images. We’re releasing two free simulators, one for query fan-out and a new Visual Fan-Out Explorer for e-commerce, so you can see the next likely questions and visual branches AI will generate from your content and products, and optimize for how AI actually thinks.
Building the Future of AI Discovery: Why Your Brand Needs a Semantic Memory Layer
Learn how an enterprise semantic layer helps your brand organize, connect, and leverage data for smarter AI-driven discovery and decision-making.