nGUVU provides an employee engagement platform designed for contact centers within the Call & Contact Center Software landscape. Its nGAGEMENT solution applies game mechanics, recognition features, and social media-style elements to influence agent behavior by tapping into drivers such as competition, collaboration, achievement, status, and recognition. This approach aims to build intrinsic motivation, increase employee engagement, and create an immersive environment where agents are encouraged to self-manage and find core tasks more engaging.

The platform emphasizes adaptability and performance management, summarized by the idea of not only monitoring a contact center’s state but actively adjusting it. While traditional gamification tools often focus on simple scoring methods like leaderboards and badges, nGAGEMENT extends performance management by enabling continuous learning from the workforce and supporting performance improvements at both individual and team levels. Built on machine learning, the system is designed to simplify reporting and predictive analytics by automating much of the underlying analytical work.

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 nGAGEMENT mention score
POST /v3/content_analysis/summary
{
  "keyword": "nGAGEMENT",
  "type": "llm_mentions",
  "date_from": "2025-01-01"
}