Agent2UCB: Agentic System for Generative Engine Optimization
On the map: LLM agents and tool use → Web, search, and research agents
Abstract (arXiv)
Large language model driven search engines such as Google AI Overviews and Perplexity have created new opportunities for Generative Engine Optimization (GEO) the practice of refining content to increase its likelihood of being cited or summarized by generative systems. We demonstrate Agent2UCB, an agentic GEO system that autonomously improves content visibility through customized, feedback-driven optimization. For each content item, the system evaluates nine GEO strategies, identifies the most effective method, and accelerates selection using a bandit-based Agent2UCB policy that integrates LLM priors with online reward signals. To monitor side effects, the system also provides a lightweight, text-only SEO readiness evaluation covering readability, topical coverage, and EEAT-style credibility. Experiments on GEO-Bench show consistent visibility gains while preserving SEO quality. The demo allows users to choose the websites of interest, observe the optimization workflow, and compare GEO/SEO outcomes across methods.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Placed in Web, search, and research agents, one of 16 directions in LLM agents and tool use. Builds on 3 of its 8 references that are in the map. First posted on arXiv 29 Aug 2026.
Builds on
3 of 8 references.
References · 3
- 2023GEO: Generative Engine Optimizationcited by 56
- 2024EVOLvE: Evaluating and Optimizing LLMs For In-Context Explorationcited by 34
- 2025Toward Efficient Exploration by Large Language Model Agentscited by 17
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- 2026AgenticGEO: A Self-Evolving Agentic System for Generative Engine Optimization
- 2026Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026)
- 2026Beyond Retrieval: Modeling Confidence Decay and Deterministic Agentic Platforms in Generative Engine Optimization
- 2026Diagnosing and Repairing Citation Failures in Generative Engine Optimization
- 2025From Web Search towards Agentic Deep Research: Incentivizing Search with Reasoning Agents
- 2026EcoGEO: Trajectory-Aware Evidence Ecosystems for Web-Enabled LLM Search Agents
- 2025Mind2Web 2: Evaluating Agentic Search with Agent-as-a-Judge
- 2026When Optimization Becomes Manipulation: Defending Generative Search against Malicious Generative Engine Optimization