> ## Documentation Index
> Fetch the complete documentation index at: https://docs.videntic.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Core metrics

> The four numbers that summarize your AI visibility.

Videntic reports four headline metrics. Together they tell you *whether* you're visible in AI search, *how well* you're positioned when you are, *who else is being cited*, and *whether your site is technically ready* to be cited more.

## The four metrics

<CardGroup cols={2}>
  <Card title="AI Visibility Score" icon="eye" href="/metrics/ai-visibility-score">
    The share of tracked prompts where your brand is cited, across all LLMs.
  </Card>

  <Card title="Share of Voice" icon="chart-pie" href="/metrics/share-of-voice">
    Your citations divided by total citations of tracked competitors.
  </Card>

  <Card title="Citation Position" icon="list-ol" href="/metrics/citation-position">
    How early you appear when you *are* cited. First mention vs. fifth is a big deal.
  </Card>

  <Card title="GEO audit" icon="list-check" href="/features/geo-audit">
    Technical readiness for citation, scored against 16 pillars.
  </Card>
</CardGroup>

## How they fit together

Think of them as four lenses on the same question — *are LLMs citing you when they should?*

* **AI Visibility Score** is your headline result: *do they cite you at all?*
* **Share of Voice** normalizes that against your competitors: *how does that compare to the rest of the market?*
* **Citation Position** measures quality: *when you're cited, are you the star or the footnote?*
* **GEO‑16 Score** — from your [GEO audit](/features/geo-audit) — measures cause: *is your site set up to be quoted by models?*

You can move AI Visibility and Share of Voice by publishing better content or fixing technical issues flagged by the GEO audit. Citation Position is slower to shift and usually tracks alongside authority and structured-data improvements.

<Info>
  None of these metrics are "one shot". They're tracked over time, per LLM, per website. The trend is what matters — a single report is a snapshot, not a verdict.
</Info>

## Reading a report

Every report shows the four metrics at the top, with:

* **Current value** — what the most recent run measured.
* **Trend** — change since the previous run, coloured up or down.
* **Per-model breakdown** — the same metric computed separately for ChatGPT, Perplexity, Google AI Overviews, and Gemini, so you can spot model-specific gaps.

Below the headline, the report surfaces your **top content gaps** and your **GEO‑16 pillar breakdown** — the actionable part. See [Dashboard](/features/dashboard) for a tour.

## What to look at first

If you're reading your first report, start here:

1. **AI Visibility Score** — establishes your baseline.
2. **Citation Position** — tells you whether the citations you *do* get are meaningful.
3. **[GEO audit](/features/geo-audit)** — points at what to fix on-site.
4. **Share of Voice** — contextualizes everything against competitors.

Then dig into individual content gaps. That's where action happens.

## Related

<CardGroup cols={2}>
  <Card title="Dashboard" icon="gauge" href="/features/dashboard">
    Where these metrics live in the app.
  </Card>

  <Card title="Glossary" icon="book" href="/concepts/glossary">
    Every term used in a metric, defined.
  </Card>
</CardGroup>