Why Yamaguchi Takes GEO Seriously: A New Visibility Layer for AI Search

Yamaguchi treats GEO as a serious operating priority because search is no longer just a results-page competition. It is increasingly an answer-layer competition. Google’s own AI features guidance is useful here because it removes a lot of the hype: to be eligible for AI Overviews or AI Mode, a page must first be eligible for normal Google Search with a snippet, and there are no additional technical requirements beyond that. That matters because it tells us GEO is not a mysterious replacement for SEO. It is the next layer on top of SEO.

The second reason is user behavior. In August 2025, Google said that AI Overviews and AI Mode were enabling people to ask new kinds of questions, often longer and more complex ones, and that clicks coming from pages with AI Overviews were higher quality. In practice, that means brands can no longer stop at “our page ranks.” They now need to ask a second question: “Can this page function as a credible answer source?” If the answer is no, then a page may still exist in search while losing influence at the moment of decision.

Scale is the third reason. Statcounter’s worldwide figures for February 2026 show Google at 89.98% search share. Even if a team ignores every other AI assistant, changes inside Google Search alone are large enough to alter how brands are discovered and evaluated. Google also announced in May 2025 that AI Overviews had expanded to more than 200 countries and territories and more than 40 languages. For multilingual brands, this is no longer an edge case or an English-only experiment.

But for brands that also serve China-facing audiences, looking only at international platforms is incomplete. DeepSeek’s official homepage now presents a full product layer that includes web chat, app, platform access, API pricing, and service status, while its API documentation states that `deepseek-chat` and `deepseek-reasoner` map to DeepSeek-V3.2 and can be accessed through an OpenAI-compatible API format. That makes DeepSeek more than a consumer chat surface; it is also a developer and integration environment.

Qwen deserves the same level of attention. Qwen Chat identifies itself as the “Official App provided by Qwen,” while Alibaba Cloud’s official Qwen page describes a much broader ecosystem: model families, open-source availability, multimodal capabilities, tool use, agent capabilities, and support for 119 languages and dialects plus MCP. For brands that need Chinese-language relevance, multilingual consistency, and enterprise AI integration readiness, Qwen is not a side channel. It is part of the main answer ecosystem.

Public industry data points in the same direction. Semrush’s 2025 AI Overviews study reported that AI Overviews were triggered for 6.49% of queries in January, peaked at 24.61% in July, and still appeared for 15.69% of queries in November. More importantly, the mix shifted: by late 2025, AI Overviews were not limited to classic informational prompts. Commercial, transactional, and navigational behavior had expanded meaningfully. That has direct implications for service pages, FAQ pages, comparison pages, and brand terms, not just educational articles.

This is the core of Yamaguchi’s view: winning AI visibility is not about inventing a new vocabulary. It is about building a stronger page system. That system needs to do at least four things well. First, pages must remain technically discoverable. Second, definitions and service boundaries must stay stable. Third, pages need to answer real decision questions, not only topical keywords. Fourth, brand narrative has to stay consistent across pages, languages, and channels. That is how a brand moves from occasional mention to repeatable answer-layer presence.