案例研究 — Mercury GAIO 业务
更新于 2026 年 8 月
证据，而非承诺。
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.
方法论与匿名化
这些成果的衡量方式
本页上的每一个成果都由 Mercury Orbit 衡量，这是我们持续的引用监控循环。每周的提示面板——在基线水平冻结，以确保趋势可比——会针对 ChatGPT、Gemini、Perplexity 和 Google AI Overviews 执行；原始答案会存储在服务器端，因此任何报告的数字都可以重新播放和审计。
Citation Frequency、Share of Voice 和 Recommendation Rank 是按引擎和按语言（如适用，EN / 繁中 / Japanese）分别计算的，绝不混合。增量值是相对于干预措施发布前的第 1 周基线报告的。
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 Campaign internals and unpublished figures stay under NDA.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Named operators · bilingual EN / 繁中 · Orbit measurement loop · NDA on unpublished figures
资源库
Four Hong Kong engagements, one measurement loop
CASE 01
Telecom · Premium mobile
PCCW · Bruce Lam · HK / GBA
基线： 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
阅读完整案例 →
CASE 02
Insurance · Retirement
Sun Life · Adley Low · Inchcape programmes · YMYL
基线： 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
阅读完整案例 →
CASE 03
F&B · Omakase & Yakitori
Terence Tsang · QQS · 燒鳥串
基线： 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
阅读完整案例 →
CASE 04
Pet services
Calvin Yau · quality-led · sensitive category
基线： 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
阅读完整案例 →
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作者：James Huang，创始人兼首席执行官，Mercury Technology Solutions · 由 Mercury GAIO Practice 审核 · 更新于 2026 年 8 月