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Case 04Calvin Yau · quality-led · sensitive category

更新于 2026 年 8 月

Earning trust for “quality pet funeral services”

Pet services

客户: Pet funeral services, Hong Kong — Calvin Yau

Quality-led pet funeral queries were captured by spam directories. The category is sensitive: assistants will not recommend what they cannot describe as a careful, verifiable process.

基线

Directory-style answers. No step-by-step service process, no local service schema, no extractable definition of “quality” in this category.

干预

  • Step-by-step service process pages assistants can quote without inventing care claims
  • Trust modules that define what quality means in practice
  • Local service schema and calm conversion paths
  • Respectful FAQs for families asking AI before they call

时间线

12-week programme. Eligibility and answer-structure outcomes below — unpublished Orbit figures stay under NDA.

成功之处

Sensitive categories are won with process transparency. If AI cannot describe how the work is done, it will send the family to a directory.

what changed — 12-week programme

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

您的下一条基线

为您的品牌获取相同的三个指标。

免费的 AI 可见性审计将建立您的 Citation Frequency、Share of Voice 和 Recommendation Rank 基线——这是所有上述案例开始的共同起点。

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