Case Studies / The proof layer

Documented results, with the method attached.

A number without a methodology is marketing. Every case here names the measurement window, the prompt discipline, and the interventions — so you can judge the result the way we do.

D2C SkincareIndia90 days

AI Share of Voice: 12% → 47.2% in 90 days

Baseline

12%

Day 90

47.2%

A direct-to-consumer skincare brand competing against category incumbents inside AI answers. Baseline measurement showed the brand named in 12% of category prompts. After 90 days of entity engineering, machine-readable restructuring, and citable content, the brand was named in 47.2% of the same frozen prompt set.

Methodology

  • Frozen prompt set: category buying prompts fixed at engagement start — the set never changes, so movement is attributable.
  • Run monthly across ChatGPT, Gemini, Perplexity, and Claude; every response dated and archived.
  • AI Share of Voice = share of prompt-runs in which the brand is named in the answer.
  • Interventions: entity definition and consistency, schema and site structure, question-shaped citable content, third-party corroboration.

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