Your browser does not support JavaScript!

Goover: Transforming Global AI Search

General Report December 13, 2024
goover

TABLE OF CONTENTS

  1. Summary
  2. Introduction of Goover AI Search Service
  3. Core Features of Goover
  4. Market Impact and Industry Expectations
  5. User Experience and Accessibility
  6. Conclusion

1. Summary

  • Saltlux's U.S. subsidiary has launched Goover, an innovative AI search service, aiming to revolutionize the search engine market in both Korea and the U.S. Competing directly with Perplexity, Goover seeks to capture part of a $120 billion industry by offering features that enhance user interaction, automate knowledge exploration, and provide detailed reports. Its core function, 'Ask Goover', uses advanced technologies such as large language models and graph search augmented generation to deliver comprehensive answers and insights. Furthermore, Goover integrates social media functionalities, allowing users to engage and create more personalized search experiences, making it stand out among its competitors.

2. Introduction of Goover AI Search Service

  • 2-1. Overview of Goover’s Development and Launch

  • The Goover AI search service has been developed by the U.S. subsidiary of Saltlux, which has researched artificial intelligence and generative AI for over a decade. The launch of Goover occurred simultaneously in Korea and the U.S. on July 3, 2024. It is positioned as a direct competitor to Perplexity, designed to innovate in the global search service market, which is estimated to be worth $120 billion. Goover represents a significant step forward in AI-powered search technology, offering real-time responses and in-depth reporting capabilities.

  • 2-2. Comparison with Competitors: Perplexity

  • Goover aims to outpace its competitor, Perplexity, which has recently attracted significant investments from prominent figures, including NVIDIA and Amazon’s Jeff Bezos. While Perplexity offers AI-driven conversational search, Goover differentiates itself by automating the entire knowledge exploration process, much like autonomous vehicles. Its core features include 'Ask Goover', which integrates large language models (LLM) and graph search augmented generation (Graph RAG) technologies. This enables Goover to provide optimized answers from a variety of sources across the web, along with deep reports and summaries tailored to user needs. The service also fosters user interaction through social media functionalities, making it not only a search engine but also a socializing platform.

3. Core Features of Goover

  • 3-1. Automated Knowledge Exploration

  • Goover's foundational feature, Automated Knowledge Exploration, aims to automate the entire knowledge discovery process, comparable to self-driving technology in vehicles. This service, derived from the name 'Go over,' signifies its commitment to deep investigation and analysis. The core of this feature is the 'Ask Goover' function, which employs a Large Language Model (LLM) and Graph Search Augmented Generation (Graph RAG) technology to navigate and retrieve web information across multiple languages. The system can quickly provide optimized responses and their sources from a vast array of web data. Moreover, Goover's AI brain, known as Connectome, is designed to learn about users’ interests and behaviors, allowing it to automatically deliver relevant information and generate in-depth reports for user briefings.

  • 3-2. Deep Reporting and Analysis Capabilities

  • Goover excels in providing comprehensive deep reporting and analysis capabilities. Users can engage with the platform to create detailed reports based on their queries. After users request specific information, Goover can reference additional documents to enhance the quality of the answers provided. This functionality significantly reduces the time required for research tasks by not only summarizing information but also generating in-depth reports. The system ensures that users receive extensive insights into their topics of interest, thus facilitating informed decision-making.

  • 3-3. User Interaction and Social Features

  • Goover integrates user interaction and social functionalities into its platform. Users can set up 'briefing pages' for topics they wish to monitor continuously or analyze further. These pages compile relevant news, social media reactions, citations, and related figures or companies in a card news format. The AI automatically generates reports and collects tailored recommendations for users based on the content of the briefing pages. Additionally, users can interact with others to gain insights or discover new ideas. For instance, the social briefing tab suggests other users' briefing pages based on similar topics, enabling subscriptions and facilitating discussions on social media, making Goover not just a search tool but a social structuring platform as well.

4. Market Impact and Industry Expectations

  • 4-1. Positioning within the Global Search Service Market

  • The Goover AI search service has been launched as a direct competitor to Perplexity, aiming to innovate and capture a share of the global search service market, which is estimated to be worth approximately $120 billion. Goover, a subsidiary of Saltlux, was developed by a team that has spent over ten years researching AI and generative AI, making it a strong contender in this industry. Recently, Perplexity gained considerable attention in the U.S. market after receiving significant investment from high-profile figures, including NVIDIA and Amazon founder Jeff Bezos. The industry is expecting a shift from traditional keyword-based searching, like that offered by Google, to more sophisticated AI-driven conversational search capabilities that can provide quick answers and sources for complex queries. Goover's innovative service seeks to automate knowledge exploration fully, positioning itself as a next-generation AI search service.

  • 4-2. Anticipated Trends in AI Search Technology

  • The advent of Goover indicates a broader trend in AI search technology towards enhanced interactivity and automation. With functionalities such as deep reporting, personalized recommendations, and information gathering from multiple sources, Goover aims to significantly reduce the time users spend on research activities. Key features include the 'Ask Goover' function, which utilizes advanced technologies like large language models and graph search augmented generation to tailor responses to individual user needs while summarizing, translating, and providing in-depth Q&A capabilities. Furthermore, users can create 'Briefing Pages' to track topics of interest continuously, showcasing the increasing emphasis on user engagement and tailored experiences in the evolving landscape of AI search services.

5. User Experience and Accessibility

  • 5-1. Registration and Initial Setup

  • Goover, the real-time AI search agent developed by Saltlux's U.S. subsidiary, was launched simultaneously in Korea and the U.S. on July 3, 2024. To begin using Goover, users must first access the official homepage and complete the registration process. This initial setup is essential for users to start utilizing the service efficiently.

  • 5-2. Understanding and Utilizing Goover's Features

  • Goover offers a unique set of features designed to enhance user experience. The core functionality of Goover allows users to input specific queries, which are then processed to retrieve optimized answers alongside the sources referenced. After obtaining the first response, users can opt for deeper response generation or request a detailed report. The service excels in providing high-quality answers, with options to reference additional documents for an enriched experience. Goover utilizes an automated knowledge exploration capability, leveraging its own LLM, Lucia2, and Graph RAG technology to deliver relevant information from diverse web sources. Moreover, users can establish a 'Briefing Page' for ongoing monitoring and analysis of topics of interest, allowing them to streamline their information intake tailored to their needs.

Conclusion

  • The launch of Goover marks a significant leap towards more intelligent and interactive AI search solutions, spearheaded by Saltlux, a leader in AI technology. By prioritizing deep reporting and user engagement, Goover positions itself as a pioneering force against prominent competitors like Perplexity. Despite being in its beta stage, Goover’s capabilities promise to significantly reduce research time and create a dynamic user experience tailored to individual needs. Its success will depend on ongoing user feedback, which is vital for refining its features and addressing any limitations. As AI technology continues to evolve, Goover’s adaptability, particularly its capacity for enterprise customization, underscores its potential to profoundly influence future developments in AI-driven search technologies. Businesses could leverage these insights for strategic decision-making, forecasting a trend towards more automated and intuitive information retrieval processes.

Glossary

  • Goover [AI Search Service]: Goover is an AI search service developed by Saltlux's U.S. subsidiary, designed to automate knowledge exploration and provide detailed reporting. It aims to compete with established players like Perplexity by offering enhanced user interactivity and real-time search capabilities.
  • Saltlux [AI Technology Company]: Saltlux is a South Korean AI company that has been integral in developing Goover, leveraging over a decade of research in artificial intelligence and generative AI.
  • Perplexity [AI Search Service]: Perplexity is an emerging AI search engine known for its precise search capabilities and has attracted significant investment, positioning it as a key competitor to Goover in the AI search market.

Source Documents