Measures
- Brand health
How strongly and positively AI answers present the brand, less open risks, graded against peers on each model.
- AI presence
How strongly the brand appears in AI answers: the share of tracked queries where a model names it, weighted by prominence.
- Share of voice
The brand's slice of the AI conversation against tracked competitors, across citations, mentions and sources.
- Citation share
Of every page the AI models cited in this scope, how many are the brand's own.
- Positive sentiment
The share of AI answers that name the brand and describe it positively.
- Topics
The subjects the tracked queries are about, and where the brand is missing from them.
- Model dependency
When most of a figure rests on one AI model, so losing that model would move it a lot.
- Branded and unbranded queries
Branded queries name the brand; unbranded ones ask about the category, where models choose who to mention.
- How the audit score is built
One score out of 100 for the brand's site: how well AI models can reach and read it, and how sound it is, with AI readability counting most.
- AI readability and site health
AI readability is whether AI models can reach and understand the brand's pages; site health is how fast, safe and sound they are.
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