Case Study 01 — Local product discovery

Brotzeit Bakery Bali

Category: Local brand / product discovery

Initial challenge

The brand was not appearing consistently in AI answers for high-intent queries related to German bread in Bali — despite being a genuine category leader.

Target prompts

Work delivered

Outcome Improved likelihood of being named for German bread discovery prompts. Clearer brand association in AI answers for local discovery intent.
Prompt Map Entity Consistency Cite-friendly Pages
Case Study 02 — Product intent queries

FreshMax

Category: Product intent / health-led positioning

Initial challenge

Generic product categories are crowded. AI answers stay vague unless the entity is clearly defined and repeatedly validated. FreshMax needed sharper category-to-entity mapping.

Target prompts

Work delivered

Outcome Increased clarity and fit for product intent prompts. Higher recommendation likelihood for sugar-free / keto / no-added-sugar queries.
Intent Fit Product Entity Terminology Control
Methodology

How we work

  1. Prompt Map — collect the real queries users ask AI
  2. Authority Build — create pages designed to be cited
  3. Entity Consistency — align brand description across platforms
  4. Trust Signals — publish references and profiles
  5. Monitoring — test prompts weekly and iterate
Your brand next

Want this outcome?

If you sell high-trust or high-ticket offers, you don't just want to rank — you want to be named by AI systems when your buyers ask who to trust.

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