What is an AI Visibility Index and how is it calculated?
Why a single metric
AI visibility has many facets: mentions, citations, position, competition. For reporting and steering you need a condensed value that shows development over time. That is what an AI Visibility Index does.
The four building blocks
At VISIBILIS the AI Visibility Index combines four components:
- Brand mention: How often is your brand named in answers at all?
- Domain citation: How often is your website used as a source?
- Placement quality: Are you mentioned prominently or only in passing?
- Competitive situation: How do you compare to the other brands named?
Why it is measured repeatedly
AI answers are not deterministic. The same prompt yields different answers. A reliable index value only emerges when a prompt set is queried many times, so statistically significant values appear, such as "mentioned in 70 percent of answers, on average in position 2".
What you use the index for
The index makes progress visible: you see whether measures work, compare yourself to competitors and can prove the development to management. Consistency of the measurement method matters, so values stay comparable over time.
Key takeaways
- An AI Visibility Index condenses mention, citation, placement and competition.
- It only becomes reliable through repeated measurement of the same prompt set.
- It serves steering, competitive comparison and reporting.
Frequently asked questions
Is a high index a guarantee of mentions?
No. AI answers stay stochastic. The index shows probability and trend, not a guarantee.
How often should you measure the AI Visibility Index?
Regularly and with a consistent method, often weekly, so development stays comparable.
Is it enough to count your own mentions?
No. Only the competitive comparison shows whether your visibility is strong or weak relative to the market.