Use cases

Four scenarios · find your fit

Always-on GEO, launch capture, local demand, and reputation repair—spoken in outcomes, not jargon.

Scenario 1

Always-on brand GEO

For fragmented awareness and product lines that never show up in answers. We lock brand facts and parameter knowledge graphs so you stay in the front-row recommendation set—target mention rates of 70%+.

Scenario 2

90-day new-product capture

For consumer tech, appliances, and automotive. Prefill official tech briefs and multi-source comparisons ~15 days before launch so month-one answers aren’t “no information” or a competitor’s pitch.

Scenario 3

Local stores & offline demand

For dealerships and high-ticket specialty retail. We build city × category × catchment store dossiers so local AI answers name the store, address, and current offers.

Scenario 4

High-risk reputation & fact correction

Takedowns don’t fix what models already learned. Kingyu AI replaces bad training signals with verified tests and reproducible data, backed by round-the-clock monitoring alerts.