Insights Blog

How SEO Has Evolved Since Google Moved to Semantic Search The search landscape has undergone a revolutionary transformation, but the most successful SEO practitioners were already adapting to semantic signals long before Google officially announced its semantic search initiatives. As we examine the evolution from simple keyword matching to sophisticated

From Keywords to Topics Content remains the cornerstone of digital visibility, but the way search engines understand and retrieve that content has fundamentally transformed. The evolution from keyword-based matching to semantic understanding represents one of the most significant shifts in search technology since the inception of the web. This transformation,

Content is Important In the rapidly evolving landscape of digital information discovery, the rise of Large Language Models (LLMs) and AI-powered search engines has sparked debates about the relevance of traditional content strategies. Despite the transformative impact of AI technologies, one truth remains steadfast: content is more important than ever.

Introduction With the rise of AI-powered search engines and large language models (LLMs), many have proclaimed the death of SEO. In reality, SEO is not only alive, it’s evolving and more critical than ever. As search behavior shifts and AI technologies like Retrieval-Augmented Generation (RAG) reshape how information is found

Introduction: The Signal and the Noise Every few years, the search industry declares itself dead, only to be reborn with a new acronym, a fresh panic, and a chorus of self-appointed prophets. In 2025, we’re told “SEO is Dead.” We’re told “Indexation doesn’t matter.” We’re told to forget everything we