Aisha Amaira has spent years at the intersection of marketing and deep technology, helping global organizations refine their CRM and CDP strategies to stay ahead of the digital curve. As a MarTech visionary, she has a front-row seat to the evolution of buyer journeys, which are increasingly influenced by AI-generated answers rather than traditional search results. Today, we delve into the growing “visibility gap” where executive ambition meets the technical reality of modern B2B marketing. We explore the challenges of generative engine optimization, the struggle with fragmented measurement tools, and the urgent need for internal education to keep brands relevant in a world of algorithmic discovery.
Leadership is increasingly prioritizing AI visibility, yet many marketing teams feel underprepared to execute a defined strategy. How do you explain this disconnect?
It is a classic case of the “readiness gap” where the pace of technological innovation has drastically outstripped the speed of organizational change. We are seeing a trend where 88% of vice presidents and CMOs are actively demanding answers about AI visibility, yet only a meager 34% of B2B tech marketers feel they have a strategy they can actually pull off. This creates a high-pressure environment where teams are expected to perform in a space that doesn’t have a defined playbook or a set of standardized rules yet. To close this gap, marketers must move beyond the “AI as a buzzword” phase and start building the foundational processes that allow them to influence how buyers discover and shortlist their solutions within generative search results.
Over half of the marketers surveyed cite a lack of internal knowledge as their biggest hurdle. What specifically makes Generative Engine Optimization such a difficult nut to crack for B2B teams?
The challenge lies in the fact that 51% of marketers are struggling with a profound lack of Generative Engine Optimization (GEO) knowledge, which is a significant departure from the traditional SEO we have relied on for decades. Unlike the relatively predictable patterns of classic search engines, these generative engines are powered by opaque, complex algorithms that don’t offer clear explanations for why certain content surfaces over others. This technical mystery is compounded by a lack of coordination across teams for 39% of organizations and the fact that 28% simply do not have the budget or tools to experiment properly. Marketers are essentially trying to hit a moving target while navigating a fragmented landscape where “best practices” seem to change by the week, leaving them feeling stranded without a map.
Measurement is a recurring pain point, with very few teams actively tracking their AI presence. In the absence of a “Google Analytics for AI,” how are the most successful brands gauging their impact?
We are currently in a bit of a “Wild West” era for measurement, where only 29% of marketers are actively tracking their AI visibility at all. To get even a blurry picture of their performance, teams are forced to cobble together a mosaic of different signals, such as the 52.7% of US marketers who monitor traffic shifts in Google Analytics or the 42.5% who rely on social listening tools to catch brand mentions. About 29.7% are tracking brand mentions specifically within AI Overviews, while a smaller group of 13.7% is still performing manual SERP spot-checks to see what exactly shows up when they type in a prompt. Successful brands are those that combine these disparate data points to form a cohesive narrative, recognizing that no single tool yet provides the “holy grail” of AI visibility metrics.
What is your forecast for the future of B2B visibility as AI-generated search becomes the industry standard?
I anticipate that the next eighteen months will see a massive shift toward “prompt-centric” content strategies where marketers prioritize surfacing in the specific, complex queries that matter most to their buyers. We will likely see a move away from simple keyword optimization and toward the creation of highly authoritative, well-structured content that AI engines can easily digest, trust, and cite as a primary source. Internal education will become the most valuable investment an organization can make, moving AI visibility from a niche technical skill to a core competency for every single person on the digital marketing team. Ultimately, the winners in this space will be those who master the art of being “AI-readable,” ensuring their brand remains a top choice in an era where an algorithm is the primary gatekeeper between a vendor and a buyer.