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The benefit extends beyond AI optimization. Structured content is easier for human readers to scan and comprehend too. People increasingly skim content rather than reading every word, and clear structure helps them extract key information quickly. When you optimize for both AI processing and human scanning through better structure, you improve the experience for all visitors while increasing AI citation rates.
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Like the N-convex algorithm, this algorithm attempts to find a set of candidates whose centroid is close to . The key difference is that instead of taking unique candidates, we allow candidates to populate the set multiple times. The result is that the weight of each candidate is simply given by its frequency in the list, which we can then index by random selection:
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