案例研究 — Mercury GAIO 實踐
更新於 2026 年 8 月
實證，而非承諾。
Hong Kong GEO work from the last 12 months. Each case shows the baseline, the intervention, and what AI engines could cite after — PCCW, Sun Life, omakase / yakitori, and pet funeral services.
方法論與匿名化
這些成果的衡量方式
本頁面上的每一個成果都由 Mercury Orbit 衡量，這是我們持續的引用監控循環。每週的提示面板——在基準線凍結以保持趨勢可比性——會針對 ChatGPT、Gemini、Perplexity 和 Google AI Overviews 執行；原始答案會儲存在伺服器端，因此任何報告的數字都可以被重放和審計。
Citation Frequency、Share of Voice 和 Recommendation Rank 是針對每個引擎和每種語言（適用情況下的 EN / 繁中 / Japanese）分別計算，絕不混合。變動數（Deltas）是相較於任何干預措施發布前建立的第 1 週基準線報告的。
Named clients on this page (PCCW, Sun Life, QQS hospitality venues, pet funeral services) are the operators who ran the work with us. Campaign internals and unpublished figures stay under NDA. Outcomes below are eligibility and system improvements — not unverifiable “#1” rank claims.
Named operators · bilingual EN / 繁中 · Orbit measurement loop · NDA on unpublished figures
資料庫
Four Hong Kong engagements, one measurement loop
CASE 01
Telecom · Premium mobile
PCCW · Bruce Lam · HK / GBA
基準線： Premium-operator consideration answers defaulted to price tables. Brand entity mixed with MVNO / budget operators. Gemini visibility in Hong Kong did not appear on mainland assistants.
- query
- best premium mobile operator
- eligibility
- Stronger framing in premium-operator consideration answers
- separation
- Clearer split from pure price-led recommendations
- cross_border
- Dual-track so GBA citation is not assumed from HK Gemini visibility
閱讀完整案例 →
CASE 02
Insurance · Retirement
Sun Life · Adley Low · Inchcape programmes · YMYL
基準線： Invisible to AI assistants in Hong Kong on category queries. Thin, jargon-led pages; no bilingual extractable definition of 退休年金.
- query
- 退休年金
- citation
- Within 90 days ChatGPT started citing Sun Life alongside AIA and Manulife
- journey
- Cleaner path from AI/search discovery to human advisory conversion
- authority
- Stronger topical authority vs thin affiliate explainers
閱讀完整案例 →
CASE 03
F&B · Omakase & Yakitori
Terence Tsang · QQS · 燒鳥串
基準線： AI shortlists cited third-party lists. No Restaurant/LocalBusiness schema, no bilingual “what defines great omakase / 燒鳥串” blocks, weak entity disambiguation vs similarly named venues.
- queries
- best omakase in Hong Kong · best yakitori · best 燒鳥串
- eligibility
- Clearer eligibility in AI shortlists for premium dining intent
- density
- Stronger on-site answer density for comparison queries
- citation_path
- Reduced reliance on third-party listicles as the only citeable source
閱讀完整案例 →
CASE 04
Pet services
Calvin Yau · quality-led · sensitive category
基準線： Directory-style answers. No step-by-step service process, no local service schema, no extractable definition of “quality” in this category.
- query
- quality pet funeral services
- trust
- Quality-led queries have a citeable process instead of a directory row
- schema
- Local service markup so engines can describe the operator
- path
- Calm conversion from answer → human care, not aggressive CTAs
閱讀完整案例 →
您的下一條基準線
為您的品牌獲取相同的三個指標。
免費的 AI 可視性審計將建立您的 Citation Frequency、Share of Voice 和 Recommendation Rank 基線——這是每個案例都始於的相同起點。
作者：James Huang，創辦人兼 CEO，Mercury Technology Solutions · 審閱者：Mercury GAIO Practice · 更新於 2026 年 8 月