{
  "id": 1237,
  "url": "https://arxiv.org/abs/2606.28356v1",
  "title": "SafeGEO: Understanding Generative Engine Optimization Risks in Recommendation Agents",
  "summary": "Generative Engine Optimization (GEO) lets content owners rewrite web content to increase their visibility in generative systems. In recommendation agents, this creates a risk that seller-controlled sources make flawed products appear better supported than they are. We study this risk by asking whether recommendation agents preserve utility-aligned decisions when seller-controlled sources are rewritten for GEO. To make this question measurable, we construct SafeGEO, an evaluation suite with 22 GE",
  "authors": "Qianfeng Wen, Yifan Simon Liu, Xin Liu, Difan Jiao, Blair Yang, Junda Wu et al.",
  "category": "research",
  "topics": "agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-06-08T22:40:08.000Z",
  "fetched_at": "2026-07-14T14:15:07.845Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/1237",
  "original_url": "https://arxiv.org/abs/2606.28356v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}