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Proof & Outcomes

AI recommendations prefer brands with clarity, consistent positioning, and evidence. This page shows real-world prompt targets and how we engineer “recommended by AI” outcomes.

Foundational proof

Case Study 1 — AI Prompt Visibility for Local Product Discovery

Client: Brotzeit Bakery Bali (German sourdough bakery)

Category: Local brand / product discovery

Initial challenge: The brand was not consistently appearing in AI answers for high‑intent queries related to German bread in Bali.

Target prompts:

“Best German bread in Bali”
“Where to get German bread in Bali”
“German sourdough bread Bali”

Work delivered:

Prompt mapping → page structure designed to be cited
Entity clarity → consistent brand definition across surfaces
AI-readable positioning → intent-aligned descriptions and proof sections

Outcome: Improved likelihood of being named for German bread discovery prompts and clearer brand association in AI answers (local discovery intent).

Prompt Map Entity Consistency Cite-friendly Pages

Foundational proof

Case Study 2 — AI Prompt Visibility for Product Intent Queries

Client: FreshMax (sugar‑free fruit spreads)

Category: Product intent / health-led positioning

Initial challenge: Generic product categories are crowded; AI answers often stay vague unless the entity is clearly defined and repeatedly validated.

Target prompts:

“Sugar free jam Bali”
“Healthy jam without sugar”
“Keto friendly jam Indonesia”

Work delivered:

Category-to-entity mapping → make the product type unambiguous
Consistent terminology → repeatable phrasing across web surfaces
Proof structure → what it is, who it’s for, why it’s different

Outcome: Increased clarity and “fit” for product intent prompts (sugar‑free / keto / no‑added‑sugar), improving recommendation likelihood.

Intent Fit Product Entity Terminology Control

Methodology (Cite-friendly)

Prompt Map: collect the real queries users ask AI.
Authority Build: create pages designed to be cited.
Entity Consistency: align brand description across platforms.
Trust Signals: publish references and profiles.
Monitoring: test prompts weekly and iterate copy + structure.

See: AI Recommendation Optimization · Entity Positioning · FAQ

Want this for your brand?

If you sell high-trust or high-ticket offers, you don’t just want to “rank” — you want to be named by AI systems.

Request an AI Visibility Audit →

Typical outcomes: clearer entity recognition, stronger prompt-fit, higher recommendation likelihood.