Publication Date

Spring 5-3-2026

Document Type

Student Project

First Advisor

Jeon, Yongwoog (Andy)

Degree Name

B.S. (Bachelor of Science)

Department

Department of Marketing

Abstract

This Honors Capstone Research Paper examines the practical application of artificial intelligence in small business digital and social media marketing. As AI technologies become more accessible, small businesses have new opportunities to improve efficiency, enhance customer engagement, and compete more effectively in digital markets. However, there is a lack of clear guidance on how to implement these tools in a practical and cost-effective way.

This study uses a qualitative approach, combining a literature review with an applied analysis of widely used AI marketing tools including ChatGPT, Canva, Hootsuite, Buffer, Google Analytics 4, and HubSpot. These tools were evaluated based on cost, ease of use, functionality, and value for small businesses.

Findings indicate that AI tools significantly improve marketing efficiency and effectiveness by automating content creation, streamlining social media management, and enabling data-driven decision-making. The study proposes a phased AI marketing framework – content creation, media management, analytics, and optimization – to guide implementation.

Overall, AI provides small businesses with practical, scalable solutions to enhance marketing performance and remain competitive in an increasingly digital marketplace.

Suggested Citation

Kowalski, N. C. (May 3, 2026). (rep.). Practical Applications of Artificial Intelligence for Small Business Marketing: A Literary Review & LLM Approach (pp. 1–41). DeKalb, Illinois.

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