AI-POWERED SEARCH ENGINES

Authors

  • Ahmed Shaker Alalaq University of Kufa

DOI:

https://doi.org/10.29121/shodhai.v2.i1.2025.31

Keywords:

Search Engines, Artificial Intelligence, Scientific Research, Technological Revolution, Data Analysis, Traditional Search

Abstract

Search tools are a fundamental pillar in the journey of a scientific researcher, representing the gateway to accessing the knowledge and information necessary to enrich and develop their research. These tools encompass a variety of tangible or material resources that researchers use throughout their studies, including electronic tools, mechanisms, and research websites. This paper will focus on digital search tools (search engines), which are the main instruments available for online research, and the choice of tool depends on the researcher's needs.
Significance of the Study: AI-powered search engines are among the most significant stages of the technological revolution in our world today. These engines contribute to enhancing the quality of search and user experience by providing more accurate and faster results. The study discusses the importance of using AI technologies to improve search engines’ ability to understand user queries better and deliver customized content tailored to their needs.
Scope of the Study: The study is limited to search engines that rely on specific AI technologies such as machine learning and natural language processing. It also focuses on a specific set of practical applications in defined areas, introducing some of these engines, explaining how they work, and their usage mechanisms.
Research Problem: The research problem lies in how to improve the effectiveness and efficiency of traditional search engines with the assistance of AI technologies. The study raises questions about the challenges these engines face in meeting users' growing expectations regarding accuracy, speed, and personalization.
Previous Studies: Our study relies on a range of scientific research discussing the importance and mechanisms of intelligent search engines, notably:
1- Bukhor, S. (2019). Analisis Perbandingan Fitur Search Engine.
2- Karanjia, Meherzad (2023). Importance of Search Engines – Benefits for Businesses and Students.
3- Jairam, Prabhat (2023). What is the Importance of Educational Search Engines?

References

Agarwal, S. (2024). The Best Ai Search Engines in 2024.

Alalaq, A. S. (2024). Reconstruction of Historical Cities Using Ai Technology (Augmented Reality). SSRN, 5040088. https://doi.org/10.31124/advance.173312800.04458784/v1

Alalaq, A. S. (2024). The History of the Artificial Intelligence Revolution and the Nature of Generative Ai Work. https://doi.org/10.59232/AIR-V2I3P101

Alalaq, A. S. (2025). Ai-Enhanced Digital Databases. J Sen Net Data Comm, 5(1), 01–08. https://doi.org/10.33140/JSNDC.05.01.01

Bukhor, S. (2019). Analisis Perbandingan Fitur Sear ch Engine. INFORMAL: Informatics Journal, 3(1), 17–19. https://doi.org/10.19184/isj.v3i1.9850

Chauhan, C. (2022). Importance of Search Engines Guide in 2024.

Daruka, M., & Damle, M. (2023). Boosting D2C (Direct-to-Consumer) Websites With Search Engine Optimisation (SEO). Somaiya International Conference on Technology and Information Management (SICTIM), 84–89. https://doi.org/10.1109/SICTIM56495.2023.10104723

Durable. (n.d.). Typeset.io.

Entrustech. (2023). Perplexity Ai: What You Need To Know and How To Use It.

Gregersen, E. (2024). Bing. Encyclopedia Britannica.

Jairam, P. (2023). What is the Importance of Educational Search Engines?

Karanjia, M. (2023). Importance of Search Engines—Benefits for Businesses and Students, FAQs & More.

LibGuides. (n.d.). What is Elicit?

Needl. (2023). Smart Search Vs. Traditional Search Engines: Transforming Market Intelligence.

Nestify. (2024). A Comparison of Traditional and Ai-Powered Search: Unveiling the Future of Search.

Ought. (n.d.). Elicit.

Panayotov, J. (2024). Search Engine Market Share 2023–2024.

Pavitra, M. (2024). Perplexity AI review: Features, benefits, and alternatives.

Prerender. (2023). Traditional Search Vs. Ai-Powered Search Explained.

WPS. (2024). Perplexity Ai Review: How The Ai Search Engine Works ?

Wikipedia. (n.d.). Microsoft Bing.

Wong, G. (n.d.). Connected Papers: A Free Tool To Explore Research Papers.

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Published

2025-05-03