Category: Expert Mode

This article was based on the interview with Siteimprove CEO Nayaki Nayyar on what it means to take a holistic view of digital experience by Greg Kihlström, AI and MarTech …

The deluge of AI-powered tools has created a palpable sense of urgency in every marketing department. The temptation is to chase the latest shiny object, to integrate generative AI for the sake of generating more. More content, more variations, more assets.

The conversation around brand protection has fundamentally changed. What was once viewed as a defensive cost center, a game of legal “whack-a-mole,” is now a strategic imperative for growth and customer retention. The sheer scale and sophistication of modern threats, supercharged by AI, have made it clear that a…

The new central question is no longer “How do we rank?” but “How do we become the definitive answer?” This isn’t a semantic shift—it represents the emergence of a new operating system for marketing, where Generative Engine Optimization (GEO) plays a key role. AI-powered answer engines like ChatGPT, Gemini,…

In our rush to harness these new capabilities, we often overlook the very foundation upon which they are built: the data. And I’m not talking about the clean, structured, first-party data sitting comfortably in our CDPs. I’m referring to the messy, chaotic, and utterly vital torrent of public web…

For marketing leaders, the challenge isn’t just about learning a new tool; it’s about unlearning a generation of deeply ingrained assumptions and preparing for a world where “search” is an action, not a destination. This brings us to Answer Engine Optimization (AEO), often called Generative Engine Optimization (GEO).

The technical debt accrued over decades is now coming due, with interest. New research from Pega confirms what many of us have suspected: outdated, clunky technology is a primary source of employee frustration, a drain on productivity, and a significant driver of talent attrition. While we chase the horizon…

The pressure on marketing leaders to adopt, integrate, and demonstrate Return on Investment (ROI) from AI is immense and unyielding. The landscape is a cacophony of vendors promising transformation, each with a shinier “magic wand” than the last.

This pivot from experimentation to enterprise-grade execution is a familiar cycle for anyone who remembers the early days of the web, mobile, or social media. However, the sheer velocity of AI’s adoption curve presents a unique and pressing challenge.

We’ve become so fixated on resolving issues quickly that we often fail to ask the more important question: Why are customers contacting us in the first place?