White Hat Search Engine Optimization using Large Language Models

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Niv Bardas , Tommy Mordo , Oren Kurland , Moshe Tennenholtz , Gal Zur This is my paper

classification cs.IRcs.GT

keywords engineoptimizationsearchdemonstrateempiricalgenailanguagelarge

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We present novel white-hat search engine optimization techniques based on genAI and demonstrate their empirical merits.

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On the Merits of LLM-Based Corpus Enrichment
cs.IR 2025-06 conditional novelty 5.0 of 10

LLM-generated, query-biased documents added to a search corpus improve retrieval effectiveness, RAG answer accuracy, and answer attribution in proof-of-concept experiments that use oracle-selected source documents.