Websites now have a dual purpose. A significant portion of your content must be created specifically for AI agents—niche, granular, and structured for LLM consumption to improve AEO. The human-facing part must then evolve to offer deeper, more interactive experiences, as visitors will arrive with their basic research already completed by AI.

Don't discard years of valuable content during a website overhaul. Use LLMs to rapidly analyze, categorize, and "atomize" your entire content library. This creates tagged, reusable content cohorts ready to be deployed in personalized ABM motions across various channels without manual effort.

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.

Traditional websites are static information libraries. As users increasingly conduct their research within AI platforms like ChatGPT, the website's role will shift to become an interactive, "agentic seller" designed for fully-researched visitors seeking a final transaction, not initial discovery.

Traditional enterprise software is a usability compromise designed for everyone. LLMs move beyond simple personalization (showing relevant data) to full individualization, creating unique interfaces and experiences for each user based on their role and context, finally solving the 'mega menu' problem.

A significant shift in web development is prioritizing "agent-friendly" architectures with easily crawlable endpoints. This anticipates a future where AI agents are the primary visitors, performing tasks like data analysis and automated purchasing, requiring websites to be optimized for machine consumption over human interaction.

By the time a buyer reaches your website, they've likely already been informed by AI. If your site doesn't immediately provide clear, 'answer-first' content that matches the AI-generated narrative, the buyer will experience a disconnect and leave. Old-school marketing jargon will be penalized; structured, direct answers are now mandatory.

Unlike traditional SEO's focus on content volume, AEO is about precision. AI engines match queries with solutions based on context like company size or price sensitivity. Your website content must be highly structured to clearly state, "This product is the ideal solution for this specific audience," helping the AI make an accurate recommendation.

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.