AI Go-To-Market Strategy: Why the B2B Sales Funnel is Dead

Go-To-Market Strategy is undergoing a fundamental shift as autonomous agents begin to influence the B2B buying journey. In this episode of The B2B Revenue Executive Experience, host Cory Cotten-Potter sits down with Adrian Rosenkranz, CRO at Webflow, to discuss why traditional revenue models are breaking and what must replace them. Drawing on leadership roles at Salesforce and Webflow, Adrian offers a clear-eyed view of how Revenue Operations must evolve to meet the "dual reality" of modern commerce: human intuition and machine discoverability.

Moving Beyond the Traditional B2B Sales Funnel

For decades, the B2B sales funnel has served as the North Star for growth. But Adrian argues that this linear model is no longer compatible with how buyers actually behave. In an era where AI agents crawl and interpret website data before a human ever reaches out, the funnel gives way to a simpler, more agile framework built around two realities: discoverability and conversion.

Discoverability asks how well your brand is indexed and understood by both human researchers and AI systems. Conversion asks how effectively you turn that digital discovery into a high-trust customer relationship. Together, they replace layers of funnel stages with a cleaner, more actionable way to think about growth.

Breaking Down Silos Across Revenue Teams

In many organizations, sales, marketing, customer success, and revenue operations still operate in relative isolation, each focused on its own metrics and workflows. The result is a fragmented view of the customer and missed opportunities to act on insights that no single team can see on its own.

Adrian describes how bringing these functions together under a shared revenue leadership structure unlocks a 360-degree view of the customer journey. When RevOps operates as a unified engine rather than a coordinating layer, insights from AI tools flow across the full customer lifecycle and translate into cohesive strategies that every team can act on.

The Rolling ICP: A Dynamic Approach to Customer Targeting

As companies move upmarket or expand into new segments, their ideal customer profile naturally evolves. Yet most organizations still treat the ICP as a static document created during an earlier stage of growth, revisited once a year if at all.

Adrian advocates for what he calls a rolling ICP: a continuously updated model that evolves as new data emerges. By analysing product usage patterns and customer conversations, teams can identify which types of organizations are deriving the most value in real time. AI accelerates this process by surfacing patterns across large volumes of conversation data, allowing revenue leaders to refine targeting strategy month by month as markets shift.

Balancing AI Automation with Human Creativity

While AI is rapidly transforming go-to-market operations, Adrian cautions against viewing it purely as a replacement for human work. The organizations that will thrive are those that use AI to augment human capability rather than eliminate it.

AI excels at processing information, identifying patterns, and automating repetitive tasks. Humans remain far better at creativity, curiosity, and relationship building. When AI handles operational complexity, revenue teams gain back the time and cognitive space to focus on high-value conversations and strategic thinking. That balance: automation for efficiency, human engagement for insight, creates a more sustainable path to growth.

AI as a Personal Operating System for Leaders

Adrian also shares how executives can use AI to amplify their own decision-making. Rather than relying on generic prompts, leaders can train AI systems on their personal knowledge base: notes from books they've studied, frameworks they use day-to-day, and lessons accumulated throughout their careers.

By embedding these insights, leaders effectively create a personalized "chief of staff" capable of surfacing blind spots, proposing alternative perspectives, and helping translate ideas into practical action. Over time, this approach allows leaders to scale their thinking consistently across teams.

Preparing for the Next Era of Go-to-Market

The central takeaway from Adrian's perspective is that the next era of B2B growth will be defined by how effectively organizations adapt to AI-driven discovery and decision-making. Companies that cling to outdated funnel frameworks risk having their visibility and competitiveness gradually erode as buyers increasingly rely on AI systems to evaluate vendors before any human interaction takes place.

Those that rethink their go-to-market systems, optimizing for discoverability, embracing cross-functional collaboration, and using AI to augment rather than replace human creativity will be far better positioned to compete. The question for revenue leaders is no longer whether to adapt, but how quickly they can redesign their operating models to reflect the world that already exists.

What You’ll Learn

How to distinguish between "getting it done" and "doing it right."
Why unifying siloed go-to-market teams unlocks customer insights
The rolling ICP framework for managing uncertainty during upmarket expansion
How to make teams comfortable with uncertainty and rapid change
The dual-reality go-to-market model
Why investing in human-to-human conversations is more valuable today