The internet was built for human interaction. The rise of autonomous agents shopping for products and services on our behalf signals the dawn of an 'agentic web.' This will force a fundamental shift in marketing and sales, requiring businesses to learn how to effectively market to and be discovered by AI agents, not just humans.
As consumers delegate purchasing to personal AI agents, marketing's emotional appeals will fail. Brands must prepare for a "Business-to-Machine" (B2M) world where algorithms evaluate products on function and data, rendering decades of psychological tactics obsolete.
The marketing dynamic is shifting from influencing human emotions to communicating clear, machine-readable value to consumers' personal AI agents, which will increasingly handle purchasing.
The audience for marketing content is expanding to include AI agents. Websites, for example, will need to be optimized not just for human users but also for AI crawlers that surface information in answer engines. This requires a fundamental shift in how marketers think about content structure and metadata.
AI agents are becoming the dominant source of internet traffic, shifting the paradigm from human-centric UI to agent-friendly APIs. Developers optimizing for human users may be designing for a shrinking minority, as automated systems increasingly consume web services.
The evolution of personalization won't just be one-to-one marketing to a person, but marketing to their AI agent. Brands must learn how to provide data signals and recommendations that influence an AI's choices on behalf of its user, a paradigm shift from traditional consumer engagement models.
The fundamental change in marketing is moving from creating content for human consumption to creating it for AI bots and "answer engines" that crawl the web on behalf of users. This requires a new approach to content strategy, focusing on discoverability and usefulness to machines.
The next phase of AI will involve autonomous agents communicating and transacting with each other online. This requires a strategic shift in marketing, sales, and e-commerce away from purely human-centric interaction models toward agent-to-agent commerce.
The evolution of search won't stop with LLMs. The next stage involves autonomous AI agents that complete tasks like booking travel on a user's behalf. Marketers must shift their focus from answering human queries to ensuring their products and services are discoverable and selectable by these agents.
You.com CEO Richard Socher predicts a new marketing motion where companies market directly to LLMs. As AI agents increasingly make purchasing decisions and consume information, optimizing content for AI consumption will become as critical as traditional SEO.
The rise of AI agents means website traffic will increasingly be non-human. B2B marketers must rethink their playbooks to optimize for how AI models interpret and surface their content, a practice emerging as "AI Engine Optimization" (AEO), as agents become the primary researchers.