| Client Challenge | Strong offline prestige, yet leadership lacked visibility into how AI assistants recommended jewelry to younger self-purchasers. |
| Wenjian Diagnostic | Built a segmented buyer question map and executed 35-answer multi-round sampling per prompt with sentence-level citation analysis. |
| Business Impact | Shifted content budgets from generic brand storytelling toward structured price-band guides, gram-weight specs, and daily layering scenarios. |
Observed Mention Rate by Buyer Scenario (N = 35 Answers per Prompt)
1. Why Aggregate Mention Averages Mislead Leadership
Blending branded celebrity queries with unbranded discovery queries produces a flattering average while hiding severe acquisition blind spots among first-time buyers asking budget-specific styling questions.
2. What Sentence-Level Citation Tracing Revealed
Competing brands earned citations through structured fashion and consumer guides specifying price brackets, clasp durability, and office-appropriate layering—whereas our client's web footprint centered on gala press releases lacking actionable product specs.
3. Translating Evidence into Editorial Priorities
Armed with clear scenario benchmarks, the marketing team restructured collection pages around occasion, budget tier, and wearability, aligning digital PR with high-intent discovery gaps.