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Goover: Transforming AI Search Engines

General Report November 4, 2024
goover

TABLE OF CONTENTS

  1. Summary
  2. Overview of Goover
  3. Technological Features of Goover
  4. User Interaction and Engagement
  5. Competitive Landscape
  6. Conclusion

1. Summary

  • Goover emerges as a pioneering AI search service, built by the US subsidiary of Saltlux, with the potential to revolutionize the search engine ecosystem. Dedicated to automating knowledge exploration, Goover launched in the markets of South Korea and the US. The report provides a detailed examination of Goover's unique offerings, such as its use of Large Language Models (LLM) and Graph RAG technology, which facilitate advanced and personalized search responses. Unlike traditional engines like Google or competitors like Perplexity, Goover focuses on an immersive user interaction through features such as 'Ask Goover' and customizable 'Briefing Pages'. Such tools not only provide immediate, context-aware answers but also track users' topics of interest, delivering valuable insights and fostering engagement within a community of users.

2. Overview of Goover

  • 2-1. Introduction to Goover

  • Goover, developed by the US subsidiary of Saltlux, is a groundbreaking AI search service launched on July 3, 2024, simultaneously in South Korea and the US. This service aims to innovate the search engine ecosystem by automating the entire process of knowledge exploration. The name Goover derives from the phrase 'Go over,' reflecting its mission to conduct in-depth research and analysis.

  • 2-2. Background and Development

  • Goover is a spinoff from a research organization within Saltlux that has spent a decade developing artificial intelligence and generative AI technologies. As part of a startup, Goover seeks to capture a slice of the global search service market, which is estimated to be worth $120 billion (approximately 146 trillion KRW). The product was explicitly designed to compete against existing AI search engines such as Perplexity, which has garnered attention and investment from high-profile entities like Nvidia and Jeff Bezos.

  • 2-3. Market Position and Strategy

  • In the competitive landscape of AI-powered search services, Goover positions itself as an advanced alternative to traditional keyword-based searches represented by Google. With distinct features, such as the 'Ask Goover' functionality, Goover combines large language model (LLM) capabilities with Graph RAG technology to provide tailored answers by scouring a multitude of online sources and user-subscribed content. This innovative approach is expected to reduce the time spent on research tasks significantly.

3. Technological Features of Goover

  • 3-1. Core Technologies: LLM and Graph RAG

  • Goover utilizes advanced technologies derived from Saltlux's decade-long research in artificial intelligence and generative AI. The service prominently features a Large Language Model (LLM) and Graph Retrieval-Augmented Generation (Graph RAG) technology, which together enhance its capability to search and retrieve information. This infrastructure allows Goover to navigate the vast array of information available online in multiple languages and deliver optimized answers to users.

  • 3-2. Functionality of Ask Goover

  • The 'Ask Goover' function serves as the core interaction point for users seeking information. It employs the integrated LLM and Graph RAG technologies to analyze and query data across various platforms. This feature enables Goover to efficiently provide precise answers to complex inquiries while citing appropriate sources for the information offered. Users can engage with the AI to further refine their search queries and receive more detailed insights based on their interests.

  • 3-3. Automation of Knowledge Exploration

  • Goover aims to revolutionize knowledge exploration by automating the entire process, akin to how autonomous vehicles operate. The service, named from the expression 'Go over', stands out with its capability to autonomously conduct in-depth research and analyses. The AI brain, referred to as 'Connectome,' learns about user preferences and behaviors to proactively gather necessary information and generate comprehensive reports for users. Additionally, Goover supports briefing pages that allow users to monitor topics of interest, presenting relevant updates, news, and social media reactions in a visually structured format.

4. User Interaction and Engagement

  • 4-1. User Onboarding Process

  • The onboarding process for Goover is designed to be straightforward and user-friendly. Users begin by accessing the official website and registering for an account. Following registration, users can input commands to interact with the Goover AI, inquiring about specific topics or comparing Goover with other services like Perplexity. Upon entering a query, users receive an initial response including sources referencing the content. This initial answer can be further enhanced through options for generating deeper responses and detailed reports based on additional referenced documents.

  • 4-2. Briefing Pages and Customization

  • Goover allows users to create 'Briefing Pages' for topics they wish to consistently monitor or analyze. Users can customize these pages to gather and present relevant news, social media reactions, quotes, and information regarding related individuals or companies. The AI system automatically generates reports based on the data collected on these briefings. Each Briefing Page is organized in a card news format, making it easy for users to digest the information. Additionally, Goover's AI can recommend personalized or suggested content based on the user's topic interests, further enhancing customization.

  • 4-3. Social Features and Community Interaction

  • Goover incorporates social features that encourage community interaction. Users can discover and subscribe to Briefing Pages created by others sharing similar interests, enabling the exchange of insights and ideas. The platform includes a 'Social Briefing' tab where users can receive recommendations for pages aligned with their topics. Furthermore, users can share their information or Briefing Pages on social media platforms such as Facebook, facilitating broader engagement and sharing within the community. This social interaction aspect is designed to foster collaborative exploration of knowledge and insights among users.

5. Competitive Landscape

  • 5-1. Comparison with Perplexity

  • The competitive landscape for AI search engines is highlighted by the introduction of Goover as a direct competitor to Perplexity. Goover has been developed by the US subsidiary of Saltlux, a company with a decade of experience in AI and generative AI research. The strategy behind Goover involves automating the entire knowledge exploration process, akin to self-driving technology, aiming to surpass the functionalities offered by Perplexity. Both services are designed to address complex queries effectively, but Goover distinguishes itself with its advanced automation capabilities and unique features, promising efficient and comprehensive answers sourced from a wide range of online materials and personalized subscriptions.

  • 5-2. Market Trends in AI Search Engines

  • The AI search engine market is witnessing significant transitions, with an estimated size of $120 billion. The rise of conversational AI search engines like Perplexity has garnered substantial investment, thereby revolutionizing user expectations from search services. The trend indicates a shift from traditional keyword-based searches, dominated by platforms like Google, towards more interactive and intelligent systems that can answer complex inquiries and provide sourced information quickly. This evolution reflects the industry's anticipation of greater reliance on AI technologies in search, fostering a competitive environment where services like Goover can thrive.

  • 5-3. Future Implications for Search Services

  • While projections about future implications for search services were excluded from this report, the current introduction of Goover into the competitive landscape positions it as a significant player in the ongoing evolution of AI search engines. Goover's features suggest a possible trajectory towards enhanced user engagement through automation and AI-generated insights. Both the current functionalities and anticipated user interactions could redefine standards in the search engine ecosystem.

Conclusion

  • Goover represents a crucial development in the realm of AI-driven search services, offering a sophisticated alternative to both traditional search engines and newer AI-driven solutions like Perplexity. The platform's standout features—particularly the application of LLM and Graph RAG technology—position it at the forefront of the automated search industry. While the service has already shown promising results in knowledge automation and user interaction, its future success will largely depend on how it navigates the competitive dynamics of the $120 billion search service market. Current limitations may include the practicality of fully automating complex knowledge searches and maintaining consistent user engagement. Further improvement in AI precision and scalability could potentially enhance Goover's market position. Nonetheless, Goover's innovative model provides a blueprint for future AI search technologies, where further advancements could lead to even deeper integration into everyday digital interactions, thereby transforming how users approach and interact with digital content. With continued evolution and user adaptation, Goover has the potential to set new standards in the AI search industry, driving towards a more interconnected and autonomous search experience.

Glossary

  • Goover [AI search service]: Goover is a next-generation AI search service developed by a startup spun off from Saltlux. It offers real-time search capabilities, leveraging advanced technologies such as LLM and Graph RAG to provide users with tailored information and insights. Its unique features, including the Ask Goover function and briefing pages, facilitate an enhanced user experience and engagement, positioning Goover as a leader in the evolving landscape of AI-driven search technologies.
  • Perplexity [AI search service]: Perplexity is an AI search engine that has gained significant attention for its ability to provide accurate answers and source references. It competes directly with Goover in the AI search market, showcasing the growing trend towards interactive and conversational search capabilities that challenge traditional keyword-based searching.

Source Documents