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Bill Slawski’s analysis of "LSI Keywords" identifies them as a persistent SEO industry myth, debunking the notion that Google utilises 1980s-era Latent Semantic Indexing - a method designed for small, static corpora - to rank dynamic web content. The post’s core thesis is that while "LSI" is an obsolete term in modern IR, Google achieves similar semantic goals through Phrase-Based Indexing and Context Vectors, which identify topically related "co-occurring phrases" (e.g., "pitcher’s mound" for a page about "baseball") to verify a document's topical depth. This necessitates a shift from keyword-stuffing synonyms to entity-based content construction, where ranking durability is driven by the presence of predictive, domain-specific terms that mathematically confirm a page's relevance to its primary subject.