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    "headline": "Optimizing for the Rank Made the Corpus More Alike",
    "slug": "optimizing-for-the-rank-made-the-corpus-more-alike",
    "dek": "CHASE simulates creators repeatedly rewriting documents toward one LLM ranking signal.",
    "summary": "CHASE simulates creators repeatedly rewriting documents toward one LLM ranking signal.",
    "body_text": "Across six domains and twenty rounds, quality-ranking alignment fell in every domain, with a mean Spearman change of minus 0.068. A random-target control linked the shift to ranking incentives rather than repeated rewriting alone; the result is a controlled ecosystem simulation.",
    "why_it_matters": "CHASE simulates creators repeatedly rewriting documents toward one LLM ranking signal.",
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    "importance": 7,
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    "modified_at": "2026-09-01T09:00:00.000-04:00",
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    "tags": [
      "content ecosystems",
      "ranking",
      "generative engine optimization"
    ],
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    "corrections": []
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  "sources": [
    {
      "source_id": "source-2026-09-01-019",
      "title": "arXiv preprint 2608.30466",
      "publisher": "arXiv",
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      "published_at": "2026-08-31T04:53:56.000-04:00",
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  "publisher": {
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    "description": "A daily newspaper for the age of artificial intelligence."
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  "cite_this_report": {
    "title": "Optimizing for the Rank Made the Corpus More Alike",
    "publisher": "The Machine Press",
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