Google DeepMind proves a single model could theoretically rank web pages without maintaining a separate index
TLDR
Google DeepMind's research suggests a single AI model could theoretically rank pages without a traditional separate index, potentially transforming how search visibility works.
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Search Engine Journal reports that Google DeepMind has demonstrated a mathematical model capable of ranking web pages without requiring a separate index—a potentially fundamental shift in search infrastructure. If such a system were implemented at scale, organic visibility would shift from being defined by position on a results page to a binary state of inclusion or exclusion from results.