The end of search? AI changes the future of SEO...实体优化成为决胜关键

The landscape of (SEO) is undergoing a fundamental transformation. As the core of online marketing strategies for over twenty years, SEO is now ceding the spotlight due to the emergence of generative artificial intelligence. In the past, the goal was to have your pages rank at the top of search results, but now users are shifting toward a “zero-click” environment—AI directly answers questions, and users may not even need to click on links.

Since Google introduced the AI summary feature “AI Overview” at the top of its search results in May 2024, this shift has accelerated. Currently, about 30% of searches in the US utilize AI summaries, and website click-through rates are experiencing double-digit declines. This is because AI responds directly to user queries, bypassing traditional link-based access methods.

In this transformation, AI engine optimization is emerging as a new pillar of marketing strategy. Kevin Roy, CEO of AEO specialist company GreenBananaSEO, explains: “AI learns information based on systematic structures, citation sources, and relationships between entities.” He points out that brand visibility is now determined by a set of signals that are completely different from traditional SEO.

One of the most important concepts in AEO is “entity optimization.” This is a way to clearly communicate to AI the recognizable identities of brands, people, organizations, and others. While traditional SEO focuses heavily on keywords or backlinks, AEO emphasizes semantic relevance and consistent brand context.

AEO strategies rest on two core pillars. The first is content structuring. Since AI prefers clearly structured information, adopting Q&A formats or concise information with FAQs is crucial. The second is establishing authority. This goes beyond a single page, meaning whether the overall brand is recognized and consistently described in trusted sources.

Particularly, structured data using schema markup is an essential element for AI to accurately understand content meaning. Schema markup explicitly specifies elements such as author, organization name, and publication date, helping AI grasp the brand’s identity and expertise.

Another key signal is the author’s identity. Roy recommends associating all content with verifiable real authors and creating author profile pages linked to external authoritative websites. This is called “entity stacking,” a method to enable AI to recognize that the content is created by real individuals rather than anonymous or generative AI.

Roy, through his company’s framework “Entity Authority Engineering,” helps brands gain trust and recognition from AI systems. This includes maintaining schema markup consistency across the web, tracking mentions of the brand by authoritative sources, and verifying content responsiveness across multiple AI models.

He emphasizes: “AEO is not the end of SEO, but an evolution.” He points out, “Old shortcuts or short-term strategies are no longer effective. It’s time to adopt a mindset centered on structure, signals, and entities.” Today, what matters is no longer search rankings but whether your brand is considered a credible source when AI is asked questions. Only brands that recognize and adapt to this change will survive in the next-generation digital environment.