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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM59656

Analysis of Answer Engine Optimization (AEO) for E-Commerce Product Visibility A Study on Smartphones Under ₹30,000 in India

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM59656

Volume:

10 |

4 |

April 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM59656

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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NT

Nitin Thakur

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Abstract

It examines how Answer Engine Optimization (AEO) can strengthen smartphone-related e-commerce visibility in India by comparing four query groups drawn from a secondary dataset: a broad budget query, a processor-focused feature query, a brand query, and a student use-case query. The findings show that brand-focused and user-need-focused queries outperform narrow feature queries across traffic,

KEYWORDS

breadth page quality domain strength and backlink support

Cite This Article

Nitin Thakur, "Analysis of Answer Engine Optimization (AEO) for E-Commerce Product Visibility A Study on Smartphones Under ₹30,000 in India," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 4, April 2026. https://doi.org/10.55041/IJSREM59656

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Publication Date

9/3/2026

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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