Aisha Amaira has built a distinguished career at the intersection of marketing technology and consumer behavior, making her a vital voice in the current shift toward an AI-driven digital economy. As a MarTech expert with deep roots in CRM and customer data platforms, she understands that the tools businesses have relied on for decades are being fundamentally rewritten by generative technology. In our discussion today, she explores the “supply-side squeeze” facing the open web and why the traditional marketing funnel is undergoing a radical transformation. We dive into the disappearance of the “click,” the emergence of Generative Engine Optimization, and why brands must act immediately to avoid becoming invisible in a zero-click world.
With small publishers already witnessing a staggering 60% drop in search referrals, how is the collapse of the click-based economy fundamentally restructuring the relationship between brands and their audiences?
The click has served as the primary monetization mechanism for the entire open web for decades, but we are now watching that lifeblood evaporate in real time. When search referrals drop by such a massive margin, it signals that the traditional top-of-funnel strategy—driving traffic to a website to convert it—is no longer a guaranteed path to success. In this new landscape, there is no “page one” of search results inside an AI-generated conversational answer; the AI simply provides the information directly to the user. This means brands are facing a binary reality where they are either part of the response or they are completely invisible. To survive, businesses must pivot from a traffic-first mindset to a visibility-first strategy that ensures their data and brand identity are deeply embedded within the AI’s knowledge base.
The transition from traditional SEO to Generative Engine Optimization seems to be the next major frontier. What are the practical steps for a brand to ensure they remain relevant inside these major LLM answers?
Moving into the world of GEO requires a specialized infrastructure that allows brands to understand, analyze, and measure their presence within AI answer engines rather than just tracking keyword rankings. Marketing leaders need to leverage platforms that track how their brand is being cited across all the major large language models to ensure they aren’t being left out of the conversation. It involves a shift toward creating high-authority, human-created content that AI models find indispensable, while also utilizing attribution technology to ensure that when AI draws on that content, the brand receives proper credit. With over 12,000 industry professionals converging at events like Ai4 to discuss these very shifts, it’s clear that the brands who focus on being the “answer” rather than just a “link” will be the ones that maintain relevance.
In a landscape where many organizations are taking a “wait-and-see” approach to emerging tech, why is it so critical for brands and publishers to secure a first-mover advantage right now?
The “wait-and-see” approach is essentially a recipe for obsolescence because the AI ecosystem is being built and solidified as we speak. There is a massive first-mover advantage for those who choose to set the stakes for what comes next rather than waiting for the rules to be handed to them. Sloterdyk’s insights remind us that the top of the funnel has materially changed, and those who establish their presence in AI answers early will become the trusted sources that these models rely on long-term. If you wait until the majority of search traffic has already migrated to zero-click AI environments, you will find it nearly impossible to break into those models’ established patterns of response. It takes a proactive strategy—backed by more than two decades of marketing leadership experience—to recognize that when the infrastructure of the web changes, the window for entry is often quite narrow.
How can the industry solve the growing tension between AI platforms using human-created content and the need for those original creators to receive proper compensation and credit?
This is the central challenge of the “Q&A economy,” where AI effectively eats the web that feeds it by utilizing creator content without always driving value back to the source. The solution lies in revolutionary attribution technology that ensures when an AI draws on human-created insights, the publishers and creators receive the credit and compensation they deserve. By building systems that track exactly how content is used across major LLMs, we can create a sustainable ecosystem where the “supply side” of the web isn’t squeezed into non-existence. Without this balance, the ad supply funding the open web will continue to contract, eventually leaving AI with no fresh, human insights to learn from, which is a net loss for everyone involved.
What is your forecast for the future of brand visibility?
I predict that within the next few years, traditional search engine results pages will become secondary to “answer engines,” making brand presence a matter of pure AI attribution. We will see a massive shift where brands no longer optimize for a list of blue links but instead compete to be the specific recommendation or data point cited by an AI in a natural conversation. The winners will be those who have spent this current transition period building the infrastructure to measure their presence in these models and securing their place as the “trusted source” for AI engines. Eventually, the very concept of “website traffic” will be replaced by “influence share” within AI-generated responses, fundamentally changing how we measure marketing success.