The traditional framework of B2B marketing is being fundamentally transformed by the advent of artificial intelligence agents. No longer confined to human decision-makers, the buying process is now heavily influenced by AI systems, which have emerged as the preliminary evaluators for enterprise purchases. This shift, known as agent-based marketing, marks a significant change in how enterprises define and engage with their audiences.
For over a decade, account-based marketing (ABM) served as the backbone of B2B growth strategies. Companies carefully mapped buying groups and tailored campaigns to individual executives, investing heavily in data analytics and personalized outreach. Today, B2B marketing leaders are rethinking their approach as AI technologies like ChatGPT, Gemini, Perplexity, and Microsoft Copilot increasingly shape the early stages of the buying journey.
According to Bain & Company, 80% of consumers now use AI-generated results for a substantial portion of their searches. Meanwhile, Adobe Digital Insights reported a remarkable 269% year-on-year increase in AI-driven traffic to U.S. websites in March 2026. This evolution is compressing the customer journey, where buyers arrive with heightened intent and a narrowed selection of options, significantly influenced by AI-generated recommendations. As a result, marketers are shifting their focus from traditional SEO tactics to optimizing visibility within conversational interfaces and AI responses.
The implications for enterprise marketing are profound. Visibility is evolving; simply ranking high in search results is no longer enough. Brands must ensure they are effectively presented within AI-generated answers, often without potential customers ever visiting their website. This shift is prompting significant changes in how content is structured and validated online, requiring marketers to produce material that is machine-readable, context-rich, and supported by credible sources.
Beyond external customer engagement, AI agents are also transforming internal operations. Marketing teams are increasingly using generative AI to speed up content production, develop diverse campaign strategies, analyze consumer behavior, and automate mundane tasks. This shift is giving rise to the concept of the “agentic enterprise,” where AI systems evolve from mere tools to collaborative partners integrated into daily operations. Consequently, the focus of marketing professionals is shifting from executing campaigns to strategic planning and governance.
However, many enterprises face challenges in adapting to this new reality. Existing organizational frameworks often struggle to accommodate AI integration, leading to what executives call “pilot purgatory,” where numerous AI initiatives fail to progress beyond testing. As companies delve deeper into AI, they are reassessing four key areas: data and signal intelligence, content strategy, brand perception, and operational design.
Data generated from AI interactions provide richer insights than traditional metrics, but many of these interactions occur on platforms outside corporate control. As large language models prioritize trusted third-party content, brands will increasingly depend on their external reputation rather than solely on their marketing efforts. This shift necessitates a more nuanced approach to content strategy and brand management, especially as customer perceptions are shaped by community discourse and media coverage.
For technology providers like Adobe, this transformation presents both challenges and opportunities. Adobe is positioning itself as a leader in the evolving customer experience orchestration landscape, focusing on brand visibility, content supply chain management, and customer engagement. Their recently announced CX Enterprise Coworker platform aims to streamline workflows across various applications and third-party AI systems, ensuring human oversight in critical decision-making processes.
As the economic dynamics of digital marketing change, enterprises must now contend with the reality that competition will increasingly revolve around being the AI-generated answer of choice. This new competitive environment emphasizes trust, authority, and machine interpretability as essential strategic assets. While the acronym ABM may remain relevant, its underlying principles and practices are undergoing a profound transformation.
Marissa Dacay, Adobe's global VP of enterprise marketing, underscores the urgency for companies to adapt. As enterprises work to modernize their operations for an AI-driven market while maintaining governance and brand trust, the stakes have never been higher. In this new era, success will depend not only on traditional marketing tactics but also on how effectively organizations can integrate AI into their core strategies and operations.
The stories that move AI & crypto markets — before the market reacts.
Free. 7am ET. Five stories. 62,400 readers.
