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The AIVA Scorecard

The AIVA Scorecard makes AI Visibility assessable in a structured way. It shows where a brand stands today, how it can be classified along key dimensions, and how a clearly distilled AIVA Index is derived from this.

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Ellipse For companies that want to build AI Visibility strategically and on the basis of a clear standard.

AI Visibility becomes measurable when the right dimensions are assessed

Many companies are already seeing initial effects of AI Visibility — for example in ChatGPT, Perplexity, or Google AI Overviews. What is often missing, however, is a reliable logic for assessing this visibility in a structured way.

This is precisely what the AIVA Scorecard was developed for. Based on the AIVA Framework, it translates AI Visibility into key assessment dimensions and makes visible where a brand is already strong, where structural deficits exist, and what priorities can be derived from this. This assessment produces the AIVA Index (0–100), which condenses the overall situation into a clear executive score.

This turns a diffuse future topic into an assessable system with clear decision-making foundations.

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The AIVA Scorecard makes AI Visibility comprehensible, prioritizable, and assessable at the executive level.

Citation Share

How frequently is a brand mentioned in AI responses compared to relevant competitors?

Entity Confidence

How clearly and reliably is the brand recognized as an entity?

Architectural Ingestion Rate

How well can relevant content be technically discovered, processed, and fed into AI systems?

Fact Alignment

How accurately and consistently is information about the brand reproduced in AI responses?

Prompt Resilience

How stable does a brand's visibility remain across different prompts, questions, and usage contexts?

The five dimensions of the AIVA Scorecard

The AIVA Scorecard evaluates AI Visibility along five key dimensions. Together they form the foundation for the AIVA Index (0–100).

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Citation Share

How frequently is a brand mentioned in AI responses compared to relevant competitors? Citation Share shows how dominant a brand actually is in relevant response contexts.
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Entity Confidence

How clearly and reliably is the brand recognized as an entity? This dimension shows how unambiguously a brand can be classified by AI systems and how reliably its authority is perceived.
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Architectural Ingestion Rate

How well can relevant content be technically discovered, processed, and fed into AI systems? This dimension describes how efficiently content is structurally accessible and usable.
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Fact Alignment

How accurately and consistently is information about the brand reproduced in AI responses? Fact Alignment shows how faithfully AI systems reflect the key statements of a brand.
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Prompt Resilience

How stable does a brand’s visibility remain across different prompts, questions, and usage contexts? This dimension shows whether AI Visibility is built on a robust foundation or heavily dependent on individual situations.

Why the AIVA Scorecard is relevant for companies

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AI Visibility becomes structurally assessable
The AIVA Scorecard creates a shared assessment logic for a topic that in many companies has so far only been discussed in a fragmented or subjective way.
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Strengths and weaknesses become more visible
Companies recognize not only whether AI Visibility is present, but also in which dimensions they are particularly strong and where the greatest deficits lie.
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Priorities can be derived more effectively
When it is clear which assessment dimension has the greatest leverage, resources can be deployed more purposefully and measures can be cleanly prioritized.
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Progress becomes traceable
The AIVA Scorecard helps to contextualize developments over time and to not merely observe changes, but to assess them in a structured way.
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The AIVA Scorecard condenses complexity into a clear decision framework
It creates the foundation for making AI Visibility not just a field of analysis, but an actionable decision model.

With the AIVA Architecture Sprint, we assess your current AI Visibility along key AIVA dimensions, make structural deficits visible, and derive clear priorities from them.

This turns the AIVA Scorecard into a well-founded basis for strategic decisions, clear priorities, and a condensed view of your current AI Visibility.

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Apply the AIVA Scorecard to your brand