
The exponential growth of generative artificial intelligence has fundamentally changed how users access information, shifting discovery from ranked search results to a synthesis of multiple credible sources as answers. Traditional metrics such as search engine rankings and click-through rates no longer adequately capture visibility in this new age. This paper introduces the Artificial Intelligence Visibility Index (AIVI), a conceptual and analytical framework designed to quantify how entities, such as brands, organizations, or topics, are represented within generative information engines like ChatGPT, Gemini, and Claude. AIVI integrates multi-dimensional metrics including mention frequency and positional prominence to produce a visibility score. By turning AI visibility into a quantitative construct, public figures and companies can evaluate their presence in AI-generated outputs, identify optimization opportunities competitively position themselves in a new attention economy.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
