From SEO to AEO for Optimizing LLM Output in E-commerce Applications

Enache, Maria Cristina

From SEO to AEO for Optimizing LLM Output in E-commerce Applications

Maria Cristina Enache
Additional contact information
Maria Cristina Enache: Dunarea de Jos University of Galati, Romania

Economics and Applied Informatics, 2025, issue 3, 91-96

Abstract: This paper proposes a methodological framework for transitioning from traditional Search Engine Optimization (SEO) to a new paradigm—Answer Engine Optimization (AEO)—driven by Large Language Models (LLMs) and multimodal Generative AI systems. The study contrasts the architectural philosophies of leading LLMs, such as GPT-4o and Claude, illustrating how Custom Instructions, Constitutional AI, and long-context design affect enterprise-grade deployment. It introduces a structured approach to product description generation and content optimization in e-commerce, emphasizing Semantic Clarity, Schema.org markup, and Extraction-Readiness as prerequisites for LLM citation and high-quality output. The framework ultimately positions LLM-optimized content as a structured, machine-interpretable data object, offering a foundation for next-generation e-commerce systems that integrate conversational commerce, multimodal diagnostics, and automated technical support.

Keywords: e-commerce; LLM; artificial intelligence (search for similar items in EconPapers)
Date: 2025
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://eia.feaa.ugal.ro/images/eia/2025_3/Enache.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ddj:fseeai:y:2025:i:3:p:91-96

DOI: 10.35219/eai15840409551

Access Statistics for this article

More articles in Economics and Applied Informatics from "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration Contact information at EDIRC.
Bibliographic data for series maintained by Gianina Mihai ().