AI Visibility Metrics for Consumer Brands

AI visibility is not one number. A brand can be mentioned but not recommended, defended when named directly but invisible in neutral discovery, or recovered only after a follow-up.

LLM Shelf separates these signals into measurable KPIs so marketing, brand, ecommerce and category teams can understand where AI actually places the brand in the consumer decision journey.

Metric	Definition
Overall Target Visibility	How often the target brand or product appears across all tested AI answers.
Unbranded AI Discovery	How often the brand appears when the user does not name it directly.
Branded Visibility	How AI responds when the user asks about the brand by name.
Competitor Comparison Visibility	How the brand performs when compared directly with competitors.
Brand Defence	Whether AI recognises, explains and defends the brand when it is already in the conversation.
Recommendation Rate	How often the brand is actively recommended, not only mentioned.
Strong Recommendation Rate	How often the brand is recommended with a clear, positive rationale.
Sentiment	Whether the AI answer frames the brand positively, neutrally or negatively.
Use Case Visibility	Which buying situations activate the brand.
Category-to-Brand Activation	How often AI reaches the right category and also names the target brand.
Substitution Risk	How often AI solves the user need through adjacent categories instead of the target product.
Competitor Presence	Which competitors appear in AI answers.
Private Label Pressure	How often retailer-owned or private-label products appear.
Competitor Without Target	How often competitors appear while the target brand is absent.
Follow-up Recovery	How often a missing brand appears after a natural follow-up.
Second-Turn Discovery	Whether the brand enters the answer after the conversation continues.
Conversation Path Risk	Where the AI conversation moves away from the target brand or category.
Claim Visibility	Which product claims appear in AI answers.
Claim Support	Whether claims are supported by credible sources.
Source Coverage	Which types of sources AI appears to rely on.
Source Authority	Whether the brand is supported by owned, earned, retail, expert or third-party sources.
Prompt Stability	Whether the same prompt produces consistent outcomes.
Model Comparison	How visibility differs across AI models and answer engines.
Monthly Movement	How brand visibility changes over time.

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Find out what AI says when consumers ask about your category.

Your brand is already being interpreted by AI systems. The question is whether it is being recommended, ignored or replaced by someone else.