LIVE-GEO 基准：GEO 优化策略在真实网页上的可见性测试
Do GEO Gains Survive the Live Web? Evaluating In-the-Wild Visibility Gains of Generative Engine Optimization via LIVE-GEO
把 GEO 优化内容真的发上线上实测，发现 CORE 策略在 GPT-6、Gemini 3.6 上最管用，还揭了 ChatGPT 挑 URL 顺序的老底。
arXiv 论文 LIVE-GEO 把 GEO 重写内容发布为真实网页，检验优化收益能否在生成式引擎里存活。实验覆盖 80 个虚构品牌、18 类产品，在 ChatGPT（GPT-6）、Gemini 3.6 Thinking 和 Grok 三个引擎上比较 CORE、C-SEO、E-GEO、AgenticGEO 和 Statistics Addition 五种策略。结果显示 CORE 的 Top-1 命中率在三个引擎上达 66.3%-76.3%，但各引擎仅对 48.8%-66.3% 的品牌选出同一首选产品。论文还发现 ChatGPT 对候选 URL 顺序敏感，CORE 的 Top-1 率在两种固定顺序下分别为 73.8% 和 93.8%。数值核查工具 JEV 在 194 个数值基准案例上与参考标签一致率达 90.7%。
Do GEO Gains Survive the Live Web? Evaluating In-the-Wild Visibility Gains of Generative Engine Optimization via LIVE-GEO
Generative engine optimization (GEO) rewrites web content so that LLM-based search systems, also termed generative engines (GEs), rank it higher in their answers and recommendations. However, existing GEO evaluations typically rely on directly supplied text or controlled retrieval pipelines, and whether GEO gains survive the live Web remains unclear, leaving a gap in understanding how GEO strategies affect the visibility of live webpages when accessed and ranked by GEs. To address this gap, we introduce LIVE-GEO, a benchmark for Live, In-the-wild Visibility Evaluation for GEO. LIVE-GEO publishes GEO-rewritten products as live webpages. We use LIVE-GEO to evaluate five existing GEO strategies (CORE, C-SEO, E-GEO, AgenticGEO, and Statistics Addition), applying them to the product descriptions and reviews of 80 fictional brands across 18 product families. We run experiments on three GEs (ChatGPT with GPT-6, Gemini 3.6 Thinking, and Grok in Expert mode), four direct-text API evaluators (GPT-4o, DeepSeek, Kimi, and Claude), and a direct-text local evaluator (Qwen2.5-3B-Instruct). With frozen $\pm0.2\%$ prices, most direct-text evaluators and GEs receiving product URLs give CORE the highest Top-1 rate, reaching 66.3%-76.3% on the GEs, yet other strategies vary in relative performance, and the GEs select the same top product for only 48.8%-66.3% of brands. We also find that ChatGPT is sensitive to the order of candidate URLs: CORE's Top-1 rate is 73.8% and 93.8% under two opposite fixed orders, and the randomized order used by LIVE-GEO yields 82.5%, between the two. In the numerical-faithfulness check, the JEV verifier agrees with the reference labels on 90.7% of 194 numerical benchmark cases and with human judgments on all 50 sampled descriptions, and it flags 86 of the 400 rewritten descriptions, including all 80 Statistics Addition descriptions.
