The JEMS application is designed to begin its process at the individual store level with a focus on Credit Application Entry. As users enter application information, the system supports the workflow directly at the point of sale.

Automatic credit reports can be generated and accessed in the store even before the credit application has been completely entered. This allows preliminary credit information to be available early in the entry process.

LLM mention score The LLM mention score is the total number of mentions of this brand in different LLM chatbots, normalized to the scale from 0 to 100. You can get actual, non-normalized numbers via the LLM Mention API from DataForSEO.

Normalized 0–100 · last 8 weeks

DataForSeo API

Get LLM mention data of any company via DataForSEO API

Get access to the structured data on keyword, brand, and website mentions in LLMs, including metrics like AI search volume, impressions, and mentions count. 

How to get LLM mention data →
// Fetch JEMS mention score
POST /v3/content_analysis/summary
{
  "keyword": "JEMS",
  "type": "llm_mentions",
  "date_from": "2025-01-01"
}