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Documentation Index

Fetch the complete documentation index at: https://docs.shareofmodel.ai/llms.txt

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In generative search, visibility is not only about being present — it is also about how prominently a brand or domain appears in the answer. The Visibility Score measures the overall visibility level of a brand and/or domain inside LLM-generated responses, based on:
  • how often it appears,
  • and, where applicable, how highly it is positioned when shown as a link.
The score ranges from 0 to 100. Higher values mean stronger and more consistent visibility across results. Depending on the view, the Visibility Score can be calculated for:
  • Brand mentions
  • Domains appearing as links
  • Both combined

How the score is calculated

The score combines two complementary signals:
  • Presence Rate — how often a brand or domain appears across individual search results.
  • Average top ranking (links only) — how prominently a domain is positioned when it appears as a link.
These signals are normalised into a percentage from 0 to 100. Higher presence and better average position move the score closer to 100.

How to read the score

Read the Visibility Score as a relative and comparative signal, not an absolute judgment.
  • A high score indicates frequent and prominent visibility.
  • A lower score may reflect limited exposure, weaker positioning, or both.
The score aggregates multiple signals, so it is most meaningful when compared across engines, thematics or periods.

How this KPI fits with other signals

The Visibility Score complements: Together, these KPIs let you distinguish:
  • frequent but low-impact visibility,
  • strong positioning with limited coverage,
  • visible narratives that are positively or negatively framed.

What’s next

Presence Rate

What it measures and how to read it.

Sentiment Score

What it measures and how to read it.

Overview

Where the score appears in the platform.