AI’s Impact on SEO: Why Agentic AI Represents a Paradigm Shift

How Multimodal Search Is Transforming SEO Strategies for Marketers

Update The Evolution of Search: Understanding Multimodal Dynamics In the digital age, the way people search for information and make decisions is undergoing a significant transformation. Marketers used to rely on a straightforward funnel model: raising awareness at the top, nurturing consideration in the middle, and driving conversion at the bottom. However, as communication has diversified across platforms, traditional methods are struggling to keep pace. With the rise of multimodal search, it's clear that users are engaging fluidly across various media—text, voice, visuals—altering their purchasing journeys in ways that are more interconnected yet less trackable than ever. What Is Multimodal Search? Multimodal search involves using different methods—typing, speaking, or taking photos—to gather information and make decisions. This new approach sees users exploring information across platforms such as social media, e-commerce sites, and AI-driven interfaces. For example, a user might start by Googling a product, watching reviews on YouTube, comparing prices on Amazon, and even asking an AI assistant follow-up questions—all without ever visiting the product's official website. Such behavior highlights a fragmented yet highly interactive journey that challenges marketers to rethink how they present content. Decoding the New Marketing Funnel Although the traditional funnel remains relevant, its structure has evolved into something more complex. As users navigate these nonlinear paths, marketers must be adaptable. Top of Funnel (TOFU) content, such as informative blog posts and social media outreach, continues to generate awareness. However, MOFU content like product comparisons and email sequences needs to be more engaging, anticipating users' multi-channel interactions. Meanwhile, Bottom of Funnel (BOFU) content must cater to spontaneous decisions made across surfaces and devices. Embracing AI and Its Implications Technology adoption plays a fundamental role in how multimodal search is reshaping user behavior. Google, for instance, is integrating AI features into its core search functionality. Users benefit from summarized insights rather than sifting through traditional blue links, illustrating the shift towards AI-driven experiences. Meanwhile, e-commerce giants like Amazon are introducing AI-powered assistants like Rufus, enhancing user engagement through conversational interfaces. This transition signifies a critical moment for marketers to adapt their strategies and embrace AI's full capabilities. Strategies to Navigate the New Landscape In light of multimodal search, marketers must develop a more agile approach to their strategies. Here are several actionable insights: Create Diverse Content: Adapt content across formats—videos, blog posts, and infographics—to address users' varied preferences for information. Leverage AI Tools: Utilize AI chatbots and assistants to enhance customer experience, allowing users to easily find the answers they seek. Analyze User Interactions: Employ advanced analytics to track the multitude of interactions across platforms, gaining insights into how bespoke content can lead users back to your site. Understanding that the consumer journey is now a community of interactions, rather than a linear path, is essential for modern marketers. Adapting to these changes ensures you're able to meet users where they are and guide them toward conversion, even in the face of an increasingly complex digital landscape.