IF-GEO: Conflict-Aware Instruction Fusion for Multi-Query Generative Engine Optimization

• URL: http://arxiv.org/abs/2601.13938v1
• Date: Tue, 20 Jan 2026 13:13:39 GMT
• Title: IF-GEO: Conflict-Aware Instruction Fusion for Multi-Query Generative Engine Optimization
• Authors: Heyang Zhou, JiaJia Chen, Xiaolu Chen, Jie Bao, Zhen Chen, Yong Liao,
• Abstract summary: Generative Engines revolutionize information retrieval by synthesizing direct answers from retrieved sources.<n>Improving source visibility is a practical strategy termed Generative Engine Optimization (GEO)<n>We propose IF-GEO, a "diverge-then-converge" framework comprising two phases: (i) mining distinct optimization preferences from representative latent queries; (ii) synthesizing a Global Revision Blueprint for guided editing by coordinating preferences via conflict-aware instruction fusion.
• Score: 15.629165035222451
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: As Generative Engines revolutionize information retrieval by synthesizing direct answers from retrieved sources, ensuring source visibility becomes a significant challenge. Improving it through targeted content revisions is a practical strategy termed Generative Engine Optimization (GEO). However, optimizing a document for diverse queries presents a constrained optimization challenge where heterogeneous queries often impose conflicting and competing revision requirements under a limited content budget. To address this challenge, we propose IF-GEO, a "diverge-then-converge" framework comprising two phases: (i) mining distinct optimization preferences from representative latent queries; (ii) synthesizing a Global Revision Blueprint for guided editing by coordinating preferences via conflict-aware instruction fusion. To explicitly quantify IF-GEO's objective of cross-query stability, we introduce risk-aware stability metrics. Experiments on multi-query benchmarks demonstrate that IF-GEO achieves substantial performance gains while maintaining robustness across diverse retrieval scenarios.

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