arXiv:2605.12887v2 Announce Type: replace-cross Abstract: Web-enabled LLM agents are changing how online information influences search outcomes. Existing Generative Engine Optimization (GEO) studies mainly focus on individual webpages. However, agentic web search is not a single-document setting: an agent may issue queries, crawl pages, follow links, reformulate searches, and synthesize evidence across multiple browsing steps. Influence therefore depends not only on page content, but also on how pages are organized, connected, and encountered along the agent's browsing trajectory. We study thi
The proliferation of advanced LLMs and the increasing sophistication of web-enabled agents make understanding their interaction with online information critical for search and content optimization.
This research provides a framework for understanding how LLM-driven agents interact with the web, highlighting the importance of 'trajectory-aware' evidence ecosystems beyond individual page content, which will shape future SEO, content strategies, and information warfare.
The focus shifts from optimizing individual webpages to understanding and influencing multi-step 'browsing trajectories' of AI agents, requiring a more holistic approach to content organization and interconnectivity.
- · Platforms providing structured, interconnected data
- · Developers of advanced AI agents
- · Researchers in generative engine optimization
- · Businesses adept at multi-page content strategies
- · Simple, isolated webpage content producers
- · Traditional SEO firms focused only on keywords
- · Generative Engine Optimization studies focused purely on individual webpages
Search engine optimization and content creation strategies will evolve to consider agent browsing patterns and evidence synthesis.
New tools and metrics will emerge to analyze and influence agent 'trajectories' across the web, potentially leading to specialized 'agent SEO' industries.
The ability to manipulate or guide AI agent trajectories could become a subtle but powerful form of information influence and control.
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Read at arXiv cs.AI