AI RESEARCH
From Experience to Skill: Multi-Agent Generative Engine Optimization via Reusable Strategy Learning
arXiv CS.AI
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ArXi:2604.19516v1 Announce Type: new Generative engines (GEs) are reshaping information access by replacing ranked links with citation-grounded answers, yet current Generative Engine Optimization (GEO) methods optimize each instance in isolation, unable to accumulate or transfer effective strategies across tasks and engines.