Topic: retrieval mechanics
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Craft a Winning Context-First AI Search Strategy
The rise of AI and large language models (LLMs) has shifted content discovery from isolated keywords to prioritizing **context and semantic meaning**, requiring a new, context-first approach to content creation. A successful strategy builds a rich semantic field around a core topic using supporti...
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Content Scoring Tools: Just Google's First Gate
Google's initial search retrieval relies on a mechanical, word-matching system like BM25, where content must first pass a lexical gate based on term frequency and presence, before more advanced AI is applied to a smaller pool of results. Content scoring tools are valuable for identifying and incl...
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