As marketing leaders, we are witnessing a fundamental shift in how customers discover and interact with our brands. The traditional metrics of impressions, sessions, and click-through rates, while still relevant, no longer tell the complete story. Generative AI systems like ChatGPT, Gemini, and Perplexity are increasingly becoming the primary interface for the early stages of the customer journey, the top-of-the-funnel (TOFU) research phase that once drove millions of users to our websites. In this new landscape, visibility is not just about who ranks in search results, but who gets referenced and cited within the AI models that guide user decisions. This requires a strategic pivot in our content strategy, one that prioritizes mentions and citations as the new levers of trust and, ultimately, revenue.
Recent data from a comprehensive two-year study by Siege Media, which analyzed over 7.2 million sessions across various industry blogs, reveals a significant trend: while top-of-funnel guides and "how-to" posts have seen a sharp decline in traffic, bottom-of-the-funnel (BOFU) content such as pricing pages, calculators, and comparison articles have experienced major growth. This does not mean that TOFU content is no longer important. On the contrary, it suggests that users are now conducting their initial research within generative AI platforms and only visiting websites when they are further down the funnel and closer to a purchasing decision. This is supported by the fact that engagement has increased across all major content categories, indicating that when users do arrive on our sites, they are more motivated and ready to act.
The TOFU Paradox: Why Top-of-Funnel Content Matters More Than Ever
This shift creates a paradox for content strategists. While TOFU content may be driving less direct traffic to our websites, it is more critical than ever for building brand awareness and trust. Generative engines are now the primary channel for the TOFU and middle-of-the-funnel (MOFU) stages of the customer journey. Users are having conversations with AI, asking questions, and getting recommendations, all without ever visiting a brand's website. When they finally do click through to a site, it is often to make a purchase or get specific, transactional information.
Consider the scale of this shift. Research from Pew indicates that AI Overviews reduce click-through rates by upwards of 50%. Meanwhile, ChatGPT alone has over 700 million weekly active users, and the vast majority of their interactions are focused on top-of-funnel research, not bottom-of-funnel purchasing decisions. This means that a massive portion of the customer journey is now happening entirely within these generative platforms, and if your brand is not part of that conversation, you are effectively invisible to a large and growing segment of your target audience.
This is why we must continue to invest in TOFU content, and perhaps even increase our investment. The goal is no longer to drive traffic from this content, but to ensure that our brand is mentioned and cited within the AI-generated responses. This is where the battle for visibility is now being fought. If our brand is not part of the conversation happening within these generative platforms, we risk becoming invisible to a large and growing segment of our target audience.
The Citation Advantage: Creating Pre-Sold Customers
The value of being cited in an AI-generated response is significant. Research from Seer Interactive found that when a site was cited in an AI Overview, its organic click-through rate rose from 0.6% to 1.08%. Furthermore, while the traffic from ChatGPT was far lower than from Google organic search, it had a conversion rate of 16%, compared to just 1.8% for organic search. Even when compared to bottom-of-funnel organic traffic, which converts at 4.78%, the AI-driven traffic significantly outperforms.
This suggests that users who are driven to a site from a generative AI platform are "pre-sold." They have already encountered the brand during their TOFU research, trust the recommendation from the AI, and are ready to convert when they arrive on the site. This is a powerful concept that should inform our entire content strategy. By focusing on creating high-quality, authoritative TOFU content that is likely to be cited by AI models, we can create a steady stream of highly qualified, pre-sold customers who are ready to buy when they arrive on our site. This requires a shift in our mindset, from a focus on driving traffic to a focus on building trust and authority within the AI ecosystem.
The Coming Agent Revolution and Its Implications for Content Strategy
The shift towards a mention-driven content strategy is further accelerated by the rise of AI agents. These are autonomous systems that can complete tasks on behalf of users, from planning a trip to purchasing a product. As these agents become more sophisticated and widely adopted, they will further diminish the importance of the click as a primary metric of success. The click will no longer be a navigation step for a human user, but a transactional step for a machine executing a task.
Several emerging protocols are paving the way for this agent-driven future. The Agent Payments Protocol (AP2) will allow agents to securely execute payments on behalf of users. The Gemini Computer Use Model API will enable agents to navigate and interact with user interfaces, such as websites and apps. And the Model Context Protocol (MCP) will act as a universal connector, allowing agents to safely access a user's internal data, such as their calendar or emails, to make more informed purchasing decisions.
In this world, a user may never even visit your pricing page. Instead, they will simply instruct their AI agent to purchase the best product for their needs, and the agent will handle the entire transaction. This means that the "moment of truth" for the customer will happen entirely within the chat interface or agentic system during the research phase. The brand that wins is not the one with the flashiest pricing page, but the one that is recommended by the AI when the user asks, "Who should I trust?"
This is not a distant future scenario. These protocols are already in development, and we can expect to see significant adoption in 2026 and 2027. As marketing leaders, we need to prepare our organizations for this reality now.
A Strategic Framework for Your 2026 Content Strategy
To prepare for this future, we need to adopt a two-pronged content strategy that addresses both the human decision-making process and the machine execution process.
For the Agent (Execution): We must ensure that our bottom-of-the-funnel content is technically flawless. This means using clean schema markup, accessible APIs, and clear data structures to ensure that when an AI agent arrives to execute a transaction, it encounters no friction. This is the new technical SEO, and it is essential for ensuring that we can convert the demand that is generated higher up the funnel. Without this technical foundation, we risk losing customers at the final step, even if we have successfully built trust and awareness through our TOFU content.
For the Human (Selection): We must double down on our top-of-the-funnel content, with a focus on generating mentions and citations. This means creating high-quality, authoritative content that is likely to be referenced by AI models. This is how we will build trust with both users and the AI systems they rely on. This content should be comprehensive, well-researched, and designed to answer the questions that users are asking at the very beginning of their journey. It should also be structured in a way that makes it easy for AI models to extract and cite the information.
This two-pronged approach requires coordination across multiple functions within the organization. Content teams need to work closely with technical teams to ensure that the infrastructure is in place to support both human and machine interactions. Analytics teams need to develop new metrics and attribution models that can capture the value of mentions and citations, not just clicks. And leadership needs to provide the resources and support necessary to make this strategic shift.
Conclusion: Preparing for the Mention-Driven Era
As we move towards 2026 and beyond, the click will become a commodity, increasingly handled by machines. The mention, however, will remain the domain of human trust. This is where the next battle for visibility will be fought. As marketing leaders, it is our responsibility to prepare our organizations for this new reality. This requires a strategic shift in our content strategy, a renewed focus on building trust and authority, and a commitment to technical excellence. The brands that will succeed in this new era are those that can effectively balance the need to serve both human decision-makers and the AI agents that will increasingly act on their behalf. The time to start preparing is now.