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Evidence record 1237 · automatically gathered

SafeGEO: Understanding Generative Engine Optimization Risks in Recommendation Agents

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

Record details

Published: 8 June 2026
Source: arXiv
Category: Research
Topics: Agents & autonomy
Retrieved: 14 July 2026

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These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

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How to cite this record

ethics.ai (8 June 2026), “SafeGEO: Understanding Generative Engine Optimization Risks in Recommendation Agents,” evidence record 1237, https://ethics.ai/record/1237 (originally published by arXiv).

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