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

# Citations

> Understand who gets cited in AI answers and where your brand needs stronger source authority

<Frame>
  <img src="https://mintcdn.com/atomicai/2EwXzkqhhawPmJOp/images/data/ai-search/app-ai-search-citations-by-page.png?fit=max&auto=format&n=2EwXzkqhhawPmJOp&q=85&s=20f002f908e2b4999689f144f67df4e8" alt="AI Search Citations page with trend and By page table" width="1536" height="1024" data-path="images/data/ai-search/app-ai-search-citations-by-page.png" />
</Frame>

Use this page to improve the source quality behind your AI visibility.

<div className="atomic-info-callout">
  <p>
    <strong>Important:</strong> Citation quality matters more than citation
    volume. Prioritize trusted domains that influence decisions.
  </p>
</div>

## Questions this page should answer

1. Which domains are getting citation share in our topic space?
2. Is our brand cited enough on strategic prompts?
3. Where should we build authority first?

## Before you analyze

* Keep date range aligned with Visibility and Competitors.
* Start with all prompts and all platforms.
* Then segment by citation type and platform.

## What this page gives you

* Citation-share trend across top cited domains.
* Ranked citation table with prompt context.
* Two subtabs: `By page` and `By domain`.

## How to read the top citation trend

* `Avg. share`: average citation footprint.
* `Rank`: relative placement in citation results.
* `Type`: source class (`You`, `Competitor`, `Editorial`, `UGC`, and others).

<div className="atomic-highlight-card">
  <p>
    <strong>Key signal:</strong> If competitor citations rise on strategic
    prompts while your share stays flat, authority is shifting against your
    brand.
  </p>
</div>

<div className="atomic-example-card">
  <p>
    <strong>Example:</strong> You can keep visibility on a prompt while losing
    citation share. That usually means you are still mentioned, but trusted
    sources are increasingly backing competitors.
  </p>
</div>

## How these metrics are calculated (simple)

### Avg. share

```text theme={null}
Avg. share = (Citations for a domain or URL / total citations in the selected scope) x 100
```

### Rank

Rank is the ordering after sorting by `Avg. share` (`rank 1` has the highest share).

### Type

Type is a rule-based source classification (`You`, `Competitor`, `Editorial`, `UGC`, and others).

## By page tab

Use this tab for URL-level citation diagnosis.

<Frame>
  <img src="https://mintcdn.com/atomicai/2EwXzkqhhawPmJOp/images/data/ai-search/app-ai-search-citations-by-page.png?fit=max&auto=format&n=2EwXzkqhhawPmJOp&q=85&s=20f002f908e2b4999689f144f67df4e8" alt="AI Search Citations with By page tab selected" width="1536" height="1024" data-path="images/data/ai-search/app-ai-search-citations-by-page.png" />
</Frame>

Prioritize pages where:

* Competitors are repeatedly cited on important prompts.
* Your page appears but with low share.
* Citation type is weak for a high-value query cluster.

## By domain tab

Use this tab to evaluate domain-level authority distribution.

<Frame>
  <img src="https://mintcdn.com/atomicai/2EwXzkqhhawPmJOp/images/data/ai-search/app-ai-search-citations-by-domain.png?fit=max&auto=format&n=2EwXzkqhhawPmJOp&q=85&s=12c80879d57f6386218cf94dbdc75146" alt="AI Search Citations with By domain tab selected" width="1536" height="1024" data-path="images/data/ai-search/app-ai-search-citations-by-domain.png" />
</Frame>

Use it to:

* Separate durable editorial authority from lower-signal sources.
* Identify domains where your brand is underrepresented.
* Plan outreach and evidence content by domain priority.

## Quick weekly checklist

1. Track top citation winners and losers.
2. Compare your brand share by page and domain.
3. Flag prompt clusters with weak source support.
4. Assign one source-authority action.

## How to use filters

* `All prompts`: isolate strategic prompt groups.
* `All platforms`: compare source behavior across engines.
* `All types`: focus on source class (`Editorial`, `UGC`, `You`, and others).

## What to fix first

| Pattern in Citations data            | What it usually means       | Recommended action                          |
| ------------------------------------ | --------------------------- | ------------------------------------------- |
| Competitor citations rising          | Trust gap widening          | Publish stronger proof-led content          |
| Your domain appears with low share   | Citation weight is weak     | Improve evidence quality and source context |
| UGC share high, editorial share low  | Authority profile imbalance | Build editorial/institutional mentions      |
| Visibility stable, citations falling | Position is less defensible | Strengthen source-quality foundations       |

## Team routine

1. Weekly: monitor citation share changes.
2. Bi-weekly: review source-type quality mix.
3. Monthly: report citation progress on strategic prompts.

## Keep in mind

* Citation quality matters more than raw citation count.
* Authority changes often lag content publication.
* Domain-level wins are usually more durable than single-page wins.

## Where to go next

* [Visibility](/data/ai-search/visibility)
* [Competitors](/data/ai-search/competitors)
* [Prompts](/data/ai-search/prompts)
* [Overview](/data/ai-search/overview)