Investigating the Influence of AI on Local SEO in Boosting Customer Happiness

  • Blessy Thangam S. and K.R. Sowmya
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  • Blessy Thangam S.

    Student at Department of Management Studies,. Vel Tech Rangarajan Dr. Sagunthala R&D, Institute of Science and Technology, Avadi, Chennai, India

  • Dr. K.R. Sowmya

    Professor at Department of Management Studies,. Vel Tech Rangarajan Dr. Sagunthala R&D, Institute of Science and Technology, Avadi, Chennai, India

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Abstract

This study examines the influence of artificial intelligence on local Search Engine Optimization (SEO) and its impact on enhancing customer satisfaction. With a rising focus on reaching out to the local audiences through various channels, business is now looking at AI based applications for the enhanced and localized SEO. This research explores how AI – driven local SEO practices, that include hyperlocal content, voice search optimization, and predictive analytics, contribute to improving user experience and satisfaction among local customers. Employing the review of scholarly articles, case investigation, and surveys with both consumers and digital marketing professionals, this research reveals the key features of AI that meet local consumers’ needs effectively by providing timely and relevant information to businesses. Additionally, this research evaluates the impact of these practices on customer satisfaction and the importance of personalised AI interventions in influencing the customers’ satisfaction in the different groups. This research also affirms the prospect of AI at implementing local SEO and reveals how incorporation of AI in business increases engagement, customer loyalty and satisfaction. Concluding with practical recommendations for marketers, the study emphasizes the value of AI-driven insights for building meaningful, localized customer relationships and to obtain profitable, clients enhanced satisfaction levels growth.

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Research Paper

Information

International Journal of Law Management and Humanities, Volume 8, Issue 2, Page 1755 - 1765

DOI: https://doij.org/10.10000/IJLMH.119262

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This is an Open Access article, distributed under the terms of the Creative Commons Attribution -NonCommercial 4.0 International (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/), which permits remixing, adapting, and building upon the work for non-commercial use, provided the original work is properly cited.

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