Query Implied Generative Engine Optimization
The landscape of search has changed drastically with how people look for information online. Traditional search engines are being replaced by Generative Search Engines (GSEs), which use Large Language Models (LLMs) to generate natural language responses to user queries. For content creators, visibility is no longer solely determined by ranking in search results but by being cited within generated responses. But Generative Search Engines are black-boxes, leading to the emergence of Generative Engine Optimization (GEO), a set of techniques aimed at improving content visibility in generative search settings. Most existing approaches rely on the explicit queries or query derived signals to al...
| Authors | Shilpa Ramakrishna, William B. Andreopoulos |
|---|---|
| Primary category | cs.IR |
| Published | 19 August 2026 |
| Last updated at source | 19 August 2026 |
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