Unbranded buying prompts
brand not retrieved
Audit / Research
United States · eCommerce / Emergency Lighting
A 15-prompt AI discovery benchmark that separated brand lookup from real category discovery.
A point-in-time ChatGPT discovery audit of a Shopify store, Amazon listing and public recommendation evidence for a battery-free emergency lighting brand.
AI Visibility AuditEntity ReviewBuyer-intent researcheCommerce discovery
Results snapshot
What the evidence shows.
Key measurements from the sources and periods recorded for this case study.
Branded prompts
brand sources retrieved
Prompts tested
US / English benchmark
The challenge
What needed to be understood first.
Balinyala was retrievable when a user already knew the brand name, but it was absent from category-level questions about battery-free emergency lighting, hurricane preparedness, long blackouts and saltwater-powered lamps.
The work
What we focused on.
- 15-prompt buyer-intent benchmark
- Shopify and Amazon buyability review
- Brand and entity naming consistency review
- Product-fact comparison across sources
- Independent evidence and recommendation-source review
Documented outcome
What the evidence supports.
The audit identified three immediate constraints: unreliable buyability at the time checked, inconsistent entity and product facts across surfaces, and limited independent comparison proof. The plan prioritized live offers, one consistent product fact record and stronger evidence around the exact category intents buyers were using.
Measurement note
Evidence boundary
This was a baseline discovery audit, not a growth result. The value is the measurable starting point and repeatable prompt set for future before/after comparison.
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