The 8 AI Visibility Metrics That Matter

Definition% of relevant LLM answers that name your brand vs total brand mentions in the same answers.

How to measureFire 30–50 category prompts across 6 LLMs, count named-brand occurrences, divide.

Why it mattersThe category-level leading indicator. Predicts pipeline in AI-influenced categories 3–6 months out.

Definition% of category prompts where your brand is named at least once, across all LLMs.

How to measureSame prompt set as SoM. Binary: named or not.

Why it mattersYour presence baseline. If mention rate = 0%, no other metric matters yet.

DefinitionYour SoM broken out per LLM (ChatGPT vs Gemini vs Perplexity, etc.).

How to measureSegment the raw SoM data by LLM.

Why it mattersReveals which LLMs favor you and which don't. Optimization is often LLM-specific.

DefinitionAverage character position where your brand appears when named.

How to measureFor each mention, record character index. Average.

Why it mattersBeing named first in a 3-brand answer converts differently than being named third.

DefinitionAverage sentiment of the sentences that mention your brand.

How to measureRun mentioned sentences through a sentiment classifier.

Why it mattersBeing named negatively is worse than not being named.

DefinitionWhich competitors are named alongside you.

How to measureFor each mention, log co-mentioned brands.

Why it mattersReveals the peer group LLMs assign you to. Category framing signal.

Definition% of answers about your brand that contain factually wrong claims.

How to measureFire 20–40 fact-check prompts per month. Human-review answers.

Why it mattersWrong facts drive lost deals AND compliance risk in regulated verticals.

Definition% of answers where your domain is cited as a source (Perplexity, AI Overviews, ChatGPT Search).

How to measureFire authority-intent queries. Check for domain in citations.

Why it mattersIn extractive engines, citations drive clicks. Separate metric from mention rate.