Case 04 — Calvin Yau · quality-led · sensitive category
2026年8月更新
Earning trust for “quality pet funeral services”
Pet services
クライアント: 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.
ベースライン
Directory-style answers. No step-by-step service process, no local service schema, no extractable definition of “quality” in this category.
介入
- 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
タイムライン
12-week programme. Eligibility and answer-structure outcomes below — unpublished Orbit figures stay under NDA.
成功の要因
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
次なるあなたのベースライン
貴社のブランドに同じ3つのメトリクスを。
無料のAI可視性監査により、Citation Frequency、Share of Voice、Recommendation Rankのベースラインを確立します。これは、すべてのケースが始まったのと同じ出発点です。
James Huang 著、Mercury Technology Solutions 創設者兼CEO · Mercury GAIO Practice によるレビュー · 2026年8月更新