Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
The integration of contextual search algorithms into modern search engines has redefined the foundational principles of Search Engine Optimization (SEO), particularly within specialized knowledge domains. These algorithms, grounded in advancements in Natural Language Processing (NLP), prioritize semantic understanding, user intent, and contextual relevance over conventional keyword-based frameworks. This paper examines the implications of such algorithmic shifts on SEO strategies employed in niche domains, where content specificity and limited audience scope present unique optimization challenges. Through a critical analysis of algorithmic models such as BERT and MUM, the study explores the changing dynamics of content ranking, visibility, and relevance determination. The findings underscore the necessity for domain-specific SEO practices to incorporate semantic structuring, topical depth, and contextual alignment to maintain search relevance. This research contributes to the emerging discourse on semantic search by offering a nuanced understanding of its impact on digital visibility strategies across specialized informational contexts.
Keywords:
Contextual Search Algorithms, Semantic Optimization, Structured Data, SEO Strategies, Specialized Knowledge Domains, Organic Traffic, Search Engine Ranking, Click-Through Rate (CTR), Digital Marketing Analytics, Niche SEO, Search Engine Algorithms, AI in SEO
Cite Article:
"Contextual Search Algorithms and Their Influence on SEO Strategies in Specialized Knowledge Domains", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 8, page no.a279-a286, August-2025, Available :http://www.ijrti.org/papers/IJRTI2508036.pdf
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000724
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator