Yamaguchi helps cross-border brands monitor how they appear in AI answers, where they are missing, which sources are cited, and what should be published or updated next.
The dashboard and reporting workflow turns AI visibility into a repeatable operating process. A service page, buyer guide, media article, or directory profile should become a tracked public page or article that can be reviewed in later AI answer runs.
Yamaguchi separates global and China AI platforms because buyer behavior, source ecosystems, language patterns, and citation behavior can differ by market.
The reporting layer is designed to show what changed, which public pages or articles matter, and which platform or question gap deserves the next action.
| Reporting area | What teams can monitor | Why it matters |
|---|---|---|
| Brand visibility | Whether the brand appears in AI answers for selected questions. | Shows whether buyers can discover the brand in answer-led research. |
| Ranking and position | Where the brand appears when an answer lists providers, tools, or agencies. | Helps teams see whether the brand is absent, buried, or moving into the candidate set. |
| Citations and cited websites | Which URLs and domains are referenced around the answer. | Reveals the public sources that may influence AI answers. |
| Platform and question split | How results differ by platform and buyer question. | Turns broad visibility into specific content and placement tasks. |
| Tracked links | Whether a published URL is later found, cited, ignored, or replaced. | Connects article placement operations with measurable follow-up. |
Yamaguchi connects measurement with content building, so teams can publish, track, rerun, and decide what to improve next.
| Stage | What Yamaguchi reviews | Output |
|---|---|---|
| Baseline | Current mentions, provider lists, cited domains, missing platforms, and competitor sources. | A starting view of where the brand is visible or absent. |
| Content gap analysis | Owned pages, buyer guides, FAQs, directories, media articles, social descriptions, and China-market sources. | A priority list of pages or placements to create. |
| Tracked URL setup | Final URL, page type, target question cluster, platform scope, and publication notes. | A clean source record for future review. |
| Rerun and report | Later AI answers, citations, source changes, and platform-level movement. | A decision on whether to update, expand, repeat, or stop. |
Each team needs a different view of the same visibility evidence.
| Team | Useful view | Decision supported |
|---|---|---|
| Leadership | Overall visibility, platform split, competitor context, and trend movement. | Is AI visibility improving in the markets that matter? |
| Content | Missing facts, weak pages, cited sources, and question-level gaps. | What should be written or updated next? |
| Placement | Tracked URLs, publication status, citation movement, and source type. | Which placements should be refreshed, expanded, or replaced? |
| China market | DeepSeek, Doubao, Yuanbao, Baidu AI, Kimi, and Qianwen coverage. | Do China-facing AI platforms understand the brand correctly? |
It is a reporting workflow for monitoring brand mentions, positions, citations, cited URLs, platform differences, question-level gaps, tracked links, and trend movement across selected AI answer platforms.
The public service scope includes ChatGPT, Google AI Mode, Gemini, Perplexity, Copilot, DeepSeek, Doubao, Yuanbao, Baidu AI, Kimi, and Qianwen.
The reporting workflow compares missing facts, cited URLs, platform differences, and tracked links so teams can decide which owned pages or public articles to update next.
No. The dashboard measures visibility and citation and URL movement. Each AI platform decides which answers and citations appear.
