Rival, previously known as SilkRoad Technology, is an intelligent talent acquisition platform that supports stable agility for Human Resources teams. Its suite of recruiting, onboarding, learning, and performance tools is built for adaptability, leverages automation, and is structured to scale with changing organizational requirements. The solution can function as a comprehensive, end-to-end system or as individual modules integrated into an existing technology stack, allowing organizations to manage change while preserving operational stability. Using Rival, HR teams can execute talent strategies with greater speed and accuracy across mid-market organizations and Fortune 100 enterprises.

Positioned within the Recruiting Software landscape, Rival emphasizes strategic onboarding and workforce transformation at a global, enterprise level. It differentiates itself from single-suite, all-in-one onboarding offerings that primarily focus on forms automation and basic management rather than talent engagement and retention. Such generic or “free” tools often demand extensive customization and external services, particularly because many large HCM vendors do not specialize in talent onboarding. Rival states that it pioneered this space through long-term collaboration with some of the world’s largest organizations to create personalized, intentional new-hire journeys that support long-term employee retention.

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