Traditional website optimization focused on human experience and SEO for search bots. A third pillar is now essential: optimizing for AI advisory tools and recommendation engines through structured data like product feeds and APIs.

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.

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.

The rise of AI search and personal agents requires a fundamental shift in marketing. Brands can no longer create content solely for humans. They must develop a separate strategy to "educate" and "engage" AI agents as a new audience, using machine-readable content to ensure their products are discoverable.

As users increasingly turn to AI for answers, clicks to websites are dropping. Brands must now focus on Answer Engine Optimization (AEO), structuring their site's data and content to be easily scraped and presented by AI, not just ranking for keywords in traditional search.

For AI models to reference your brand, content must be structured in a machine-readable format like JSON. Traditional SEO is insufficient; marketers now need technical skills to ensure content is accessible and prioritized by AI, a fundamental change in growth strategy.

Personal AI agents will soon make automated purchases. Brands failing to build 'digital brand visibility' now by becoming trusted sources for LLMs will be completely invisible to these agents. This is the modern equivalent of not owning a domain name during the dot-com boom.

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.