Jinshida GEO · Ekimst
Generative Engine Optimization, made measurable
When customers ask Doubao, DeepSeek, Kimi or Qwen “which company is best for X”, the AI recommends just 2–3 brands. Jinshida (Xi’an, China) builds Ekimst, a GEO workspace that tracks brand visibility across AI platforms: baseline snapshot, weekly re-measurement, visibility growth curves, and alert-to-action closure.
What we do
Jinshida provides GEO (Generative Engine Optimization) services for Chinese SMEs, with a Xi’an-based team serving Shaanxi and Northwest China. Our self-developed Ekimst platform monitors whether AI assistants mention and recommend your brand, establishes a visibility baseline on onboarding, re-tests automatically every day, and turns visibility alerts into optimization tasks with measurable verification rules.
Our own case
We use Ekimst on ourselves first: our own brand started at a 0/3 mention rate on Chinese AI platforms for “Xi’an GEO company” queries. We publish the weekly visibility curve as our reference case — ask us for the live dashboard.