Despite hype around AI killing SEO, data shows traditional search still accounts for the vast majority of web traffic. Marketers should view AI search as a channel diversification opportunity, not a complete paradigm shift, as Google is actively defending its dominance.
In the era of zero-click AI search, driving website traffic is less important than being cited as an authority within LLM responses. Marketers must now optimize content to appear in places like Reddit and G2, as these are the sources AI models use to formulate answers and build credibility.
For the first time, tools tracking "AI Visibility"—how often a brand is cited in LLM responses—can directly measure the impact of brand-building activities. This allows CMOs to finally prove the ROI of brand investments, treating brand as a quantifiable performance engine rather than an abstract concept.
To increase the chances of being cited in AI search, structure content in formats that directly answer user questions. FAQs and benchmark/evaluation tools perform exceptionally well because they provide clear, structured answers that LLMs can easily parse and present to users conducting research.
While investing in brand is crucial for long-term growth, it cannot come at the expense of hitting immediate pipeline and revenue targets. A key CMO competency is to treat these numbers as non-negotiable while effectively negotiating with partners like sales to secure and protect a dedicated budget for awareness activities.
To accurately measure brand performance, marketers should create a composite "brand health score." This involves weighting multiple metrics—such as PR, AI visibility, traffic, and social media engagement—into a single, holistic score that provides a more comprehensive view than any individual channel metric could.
A successful AI strategy isn't about replacing humans but smart integration. Marketing leaders should have their teams audit all workflows and categorize them into three buckets: fully automated by AI (AI-driven), enhanced by AI tools (AI-assisted), or requiring human expertise (human-driven). This creates a practical roadmap for adoption.
As users conduct research via LLMs without visiting websites, traffic volume declines. The key indicator of top-of-funnel success shifts from page views to direct sign-ups. Marketers must optimize for frictionless conversion points like free trials to capture users who arrive on-site with high intent after off-site research.