Think Before Writing: Feature-Level Multi-Objective Optimization for Generative Citation Visibility (2026.acl-long)
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| Challenge: | Existing generative engine optimization approaches rely on token-level text rewriting, offering limited interpretability and weak control over the trade-off between visibility and content quality. |
| Approach: | They propose a feature-level, multi-objective optimization framework that abstracts webpages into interpretable structural, content, and linguistic properties. |
| Outcome: | The proposed framework outperforms token-level methods in citation visibility and content quality on three generative engines. |
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