How Subsig measures visibility
The definitions behind every number in Subsig.
These definitions apply everywhere in Subsig: in the dashboard, in reports, and in the data your agent reads over MCP.
Visibility
Metric | What it measures |
|---|---|
AI visibility score | Share of eligible checks where the brand was mentioned, smoothed so a brand with only one or two checks can't spike to a false 100%. Calculated as mentioned ÷ (eligible + 5) × 100. |
Share of voice | The same mention count as a plain share of every tracked brand's mentions. Every brand's slice adds up to 100%, which is why it can read differently from the visibility score on a small sample. |
Average position | Your average rank inside an answer when you're mentioned. Lower is better. Empty if the brand has never been mentioned. |
Rank | Brands sorted by visibility score, then share of voice, then average position. A brand that has never been mentioned always sorts last. |
Sentiment
Metric | What it measures |
|---|---|
Sentiment score | An average across every scored mention. Labeled Positive at 50% or more positive mentions, Negative at 40% or more negative mentions, and Neutral otherwise. |
Citations
Metric | What it measures |
|---|---|
Citation | One instance of an AI answer linking to a domain or URL while discussing a tracked brand. |
Retrieval | One time an AI engine pulled a page while preparing an answer, whether or not it linked to it. |
Citation rate | How often a domain or page gets cited when it's retrieved. Low means it's read but not credited. |
Domain share and URL share | Your site's or your pages' share of all retrievals. |
Source types
Type | What it means |
|---|---|
Your Brand | Your own website. |
Competitor | A website that belongs to a brand you track. |
References | Publishers, blogs and media. |
UGC | User-generated content, such as Reddit, G2 or Trustpilot. |
Institutional | Government, education and similar sites, such as .gov or .edu. |