> ## 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.

# Visibility

> Track where your brand is visible across AI platforms and diagnose why share is moving

<Frame>
  <img src="https://mintcdn.com/atomicai/2EwXzkqhhawPmJOp/images/data/ai-search/app-ai-search-visibility-overview.png?fit=max&auto=format&n=2EwXzkqhhawPmJOp&q=85&s=597b11c9479955ca239d8474c068d7b8" alt="AI Search Visibility top section with platform trend and competitor comparison" width="1536" height="1024" data-path="images/data/ai-search/app-ai-search-visibility-overview.png" />
</Frame>

Use this page to monitor brand exposure before click and conversion metrics react.

<div className="atomic-info-callout">
  <p>
    <strong>Important:</strong> Visibility is an early signal. If visibility
    drops now, clicks and conversions often drop next.
  </p>
</div>

## Questions this page should answer

1. Is our visibility rising or falling by platform?
2. Which competitors are taking share on our tracked prompts?
3. Is the issue in rank quality, citation strength, or recent run outcomes?

## Before you analyze

* Keep date range aligned with Overview.
* Start with `All prompts` and `All categories`.
* Then narrow one segment at a time.

## What this page gives you

* Top visibility trend by platform.
* Competitor performance matrix.
* Four deep sections in this same page: `Positions`, `Citation share`, `Recent chats`, and `Chat detail`.

## Top visibility section

<Frame>
  <img src="https://mintcdn.com/atomicai/2EwXzkqhhawPmJOp/images/data/ai-search/app-ai-search-visibility-overview.png?fit=max&auto=format&n=2EwXzkqhhawPmJOp&q=85&s=597b11c9479955ca239d8474c068d7b8" alt="AI Search Visibility with platform percentages and competitor table" width="1536" height="1024" data-path="images/data/ai-search/app-ai-search-visibility-overview.png" />
</Frame>

Read this section first:

* Platform percentages show who currently owns answer visibility.
* Trend lines show direction and volatility.
* Competitor rows show who is gaining where.

<div className="atomic-highlight-card">
  <p>
    <strong>Key signal:</strong> If visibility declines before clicks decline,
    treat it as an early warning and act before traffic impact appears.
  </p>
</div>

## How these metrics are calculated (simple)

### Visibility %

```text theme={null}
Visibility % = (Responses where brand appears / total evaluated responses) x 100
```

### Avg position

```text theme={null}
Avg position = Sum of rank slots where the brand appears / Number of responses where the brand appears
```

Lower value is better.

### Citation share

```text theme={null}
Citation share = (Citations pointing to the brand or its domains / total citations in scope) x 100
```

## Positions section

Use this section to judge ranking quality, not just visibility share.

<Frame>
  <img src="https://mintcdn.com/atomicai/2EwXzkqhhawPmJOp/images/data/ai-search/app-ai-search-visibility-positions.png?fit=max&auto=format&n=2EwXzkqhhawPmJOp&q=85&s=b1b3b6f297c5eee65d2c3d957f1cc9db" alt="AI Search Visibility Positions section with average position chart and platform table" width="1536" height="1024" data-path="images/data/ai-search/app-ai-search-visibility-positions.png" />
</Frame>

How to read it:

* Lower average position is better.
* Stable visibility with worse position means fragile performance.
* Position deterioration is often an early warning signal.

## Citation share section

Use this section to understand trust strength behind visibility.

<Frame>
  <img src="https://mintcdn.com/atomicai/2EwXzkqhhawPmJOp/images/data/ai-search/app-ai-search-visibility-citation-share.png?fit=max&auto=format&n=2EwXzkqhhawPmJOp&q=85&s=25143b296c20d3ddb57957ceb73e5073" alt="AI Search Visibility Citation share section with platform bar chart and average share table" width="1536" height="1024" data-path="images/data/ai-search/app-ai-search-visibility-citation-share.png" />
</Frame>

How to read it:

* Higher citation share means stronger source support.
* Visibility can stay stable while citation support weakens.
* Falling citation share with rising competitors is a priority risk.

## Recent chats section

Use this section to connect aggregate movement to actual runs.

<Frame>
  <img src="https://mintcdn.com/atomicai/2EwXzkqhhawPmJOp/images/data/ai-search/app-ai-search-visibility-recent-chats.png?fit=max&auto=format&n=2EwXzkqhhawPmJOp&q=85&s=1954ebf03c0697d0f86de6155afa37b3" alt="AI Search Visibility Recent chats section listing recent runs, status, and top results" width="1536" height="1024" data-path="images/data/ai-search/app-ai-search-visibility-recent-chats.png" />
</Frame>

How to use it:

* Find recent runs behind major movement.
* Check recurring top results for source patterns.
* Open key runs to inspect the detail panel shown inside this same view.

## Chat detail panel section

Use this panel when one run needs full evidence-level diagnosis.

<Frame>
  <img src="https://mintcdn.com/atomicai/2EwXzkqhhawPmJOp/images/data/ai-search/app-ai-search-chat-detail.png?fit=max&auto=format&n=2EwXzkqhhawPmJOp&q=85&s=e44e4ed7a91b8c2c07e58b55e21ca9dd" alt="AI Search Visibility chat detail panel with full generated answer and top results list" width="1440" height="1000" data-path="images/data/ai-search/app-ai-search-chat-detail.png" />
</Frame>

How to use it:

* Read the full answer text first to understand the narrative quality.
* Check `Top results` to see which sources influenced the output.
* Convert findings into concrete prompt, page, or citation actions.
* Recheck the same prompt after updates to confirm improvement.

## Quick weekly checklist

1. Validate top visibility trend direction.
2. Check `Positions` for early ranking-quality losses.
3. Check `Citation share` for trust-support changes.
4. Review `Recent chats` to identify concrete causes.
5. Use `Chat detail` to review evidence for highest-impact runs.
6. Route actions to pages, prompts, and citations.

## How to use filters

* `All prompts` to focused prompt groups for query-level diagnosis.
* `All categories` to isolate funnel-stage behavior.
* Date range to confirm persistent vs temporary movement.

## What to fix first

| Pattern in Visibility data         | What it usually means              | Recommended action                                 |
| ---------------------------------- | ---------------------------------- | -------------------------------------------------- |
| Visibility down across platforms   | Broad relevance loss               | Refresh core topic coverage and prompt strategy    |
| One platform drops sharply         | Platform-specific mismatch         | Adjust prompt and content fit for that engine      |
| Visibility stable, positions worse | Placement quality is deteriorating | Improve answer relevance and page alignment        |
| Citation share down                | Trust support weakening            | Strengthen citation-ready assets and proof quality |
| Competitor gains on key prompts    | Competitive narrative gap          | Improve decision content and differentiation       |

## Team routine

1. Weekly: diagnose one priority segment.
2. Bi-weekly: compare competitor trend by category.
3. Monthly: report visibility share by platform.

## Keep in mind

* Visibility changes can lead click changes by one cycle.
* Not all visibility has equal business value.
* Segment-level review prevents false conclusions.

## Where to go next

* [Competitors](/data/ai-search/competitors)
* [Prompts](/data/ai-search/prompts)
* [Pages](/data/ai-search/pages)
* [Citations](/data/ai-search/citations)
* [Overview](/data/ai-search/overview)