Query fan-out
| Category | AI-search terminology |
|---|---|
| Attribution status | Technical term |
| Wiki treatment | No sole inventor assigned |
| Related concepts | |
| Generative Engine Optimization Selection Rate Relevance Engineering | |
Query fan-out is a label used in discussions of AI SEO and AI-mediated search. Unlike terms with a clear dated publication or explicit creator record, the available evidence does not support assigning this label to a single originator.[1]
Technical/product terminology used by search/AI systems, not a practitioner coinage.
Definition and use
Define as system behavior, not an SEO-originated coined term. In practice, the exact meaning can vary by publisher, vendor, conference speaker, or technical system, so the surrounding context is important.
Terminology and attribution
Technical/product terminology used by search/AI systems, not a practitioner coinage. AI SEO Wiki separates widespread usage from coinage: popularity of a phrase is not evidence that the most visible current user invented it.
Relationship to AI SEO
The term is part of a larger vocabulary used to describe changes in search caused by large language models, answer engines, retrieval systems, AI-generated summaries, and agentic interfaces. It may overlap with Generative Engine Optimization, Answer Engine Optimization, and other optimization disciplines without being synonymous with them.
Related concepts
| Concept | Relationship |
|---|---|
| Generative Engine Optimization | Improving content visibility in responses produced by generative engines. |
| Selection Rate | How often a model selects a brand/source from the candidate set it could use when generating an answer. |
| Relevance Engineering | Cross-surface discipline combining information retrieval, AI, content strategy, UX and digital PR to improve relevance/visibility. |
Editorial treatment
AI SEO Wiki currently records this term as Technical term. A sole attribution should only be added if a stronger dated primary record establishes an origin and competing evidence is reconciled. Until then, the page documents usage without manufacturing historical certainty.
See also
References
- Source used in the attribution review. patrickstox.com. https://patrickstox.com/ai-search/.