Conceptio › Archive › PhilArchive
PhilArchive open access

Comprehensive Review of Gen Agentic AI in Marketing: Tools, Theories and Applications

Joshi, Satyadhar · 2025
PhilArchive · Papers · 2025
Open Source ↗
philosophy
Artificial Intelligence (AI) agents are transforming the marketing scene by streamlining work, improving personalization, and maximizing campaigns. This paper examines the complex role of AI agents in marketing, ranging from their use in content generation, customer interaction, data analysis, and generating leads. It explores the technical bases of these agents, discussing important theories like Multi-Armed Bandits, Transformer models, and Gaussian Mixture Models, and how they are implemented practically within tools such as Jasper and Quantilope. The study also discusses how marketing work is affected by AI agents, including worrying job displacement as well as new roles and required skill changes. Ethical issues, such as data privacy and algorithmic bias, are examined in tandem with emerging trends such as autonomous marketing teams and hyper-personalization. The research concludes by providing strategic advice to businesses and professionals for leveraging AI agents maximally while minimizing risks.
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 99664
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive