FeatGEO represents webpages using interpretable structural, content, and linguistic properties for generative citation-visibility optimization.

Sources

• Think Before Writing: Feature-Level Multi-Objective Optimization for Generative Citation Visibility

  arXiv (Zikang Liu, Peilan Xu, NUIST) · primary source · retrieved 2026-08-18

  “interpretable structural, content, and linguistic properties” — Abstract

• Think Before Writing: Feature-Level Multi-Objective Optimization for Generative Citation Visibility (ACL 2026)

  ACL Anthology / Association for Computational Linguistics · primary source · retrieved 2026-08-18

  “citation visibility optimization in generative retrieval systems” — Contributions paragraph, Section 1

• Think Before Writing: Feature-Level Multi-Objective Optimization for Generative Citation Visibility

  Association for Computational Linguistics · primary source · retrieved 2026-08-18

  “We propose FeatGEO, a feature-level, multi-objective optimization framework that abstracts webpages into interpretable structural, content, and linguistic properties.” — ACL Anthology lines 60-61

• Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023–2026)

  arXiv · primary source · retrieved 2026-08-18

  “Recent optimization systems—AutoGEO, FeatGEO, Mind Reader, IF-GEO, and MAGEO—replace fixed recipes with learned rules, intent decomposition, multiple objectives, or a memory of strategies.” — arXiv HTML lines 390-391