> ## 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.

# Competitors

> Benchmark your brand against competitors in AI answers and decide where to recover share first

<Frame>
  <img src="https://mintcdn.com/atomicai/2EwXzkqhhawPmJOp/images/data/ai-search/app-ai-search-competitors.png?fit=max&auto=format&n=2EwXzkqhhawPmJOp&q=85&s=28daa645e7d759b8eb3ce0661f483bc8" alt="AI Search Competitors page with trend chart and competitor benchmark table" width="1536" height="960" data-path="images/data/ai-search/app-ai-search-competitors.png" />
</Frame>

Use this page to compare your performance against direct competitors in one place.

<div className="atomic-info-callout">
  <p>
    <strong>Important:</strong> Compare the same prompt set and date range
    before declaring a competitor win/loss.
  </p>
</div>

## Questions this page should answer

1. Which competitors are strongest on our tracked prompts?
2. Where are we losing on visibility, position, or citations?
3. Which competitive gap is most recoverable this sprint?

## Before you analyze

* Keep the same date range as Visibility.
* Start with broad prompt and platform scope.
* Focus on repeated movement, not one-day spikes.

## What this page gives you

* Trend comparison between your brand and competitors.
* Table with `Visibility %`, `AVG position`, and `Citations`.
* Fast prioritization of threats and opportunities.

## How to read this page correctly

* `Visibility %`: share of appearance in tracked AI answers.
* `AVG position`: average placement quality.
* `Citations`: source-backed presence strength.

<div className="atomic-highlight-card">
  <p>
    <strong>Key signal:</strong> A competitor with lower visibility but stronger
    citations can still become a near-term threat because trust signals are
    improving faster.
  </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 answer placement indexes / Number of responses where that brand appears
```

Lower value is better.

### Citations

Citations are the total source references attributed to that brand/domain in evaluated responses.

## Quick weekly checklist

1. Compare your brand with top 3 competitors.
2. Flag one competitor gaining fastest.
3. Identify one gap you can close in 1-2 sprints.
4. Assign actions to prompts and pages.

## How to use filters

* Prompt scope: isolate the commercial topic you care about.
* Platform scope: find engine-specific competitive pressure.
* Date range: validate whether movement is persistent.

## What to fix first

| Pattern in Competitors data          | What it usually means   | Recommended action                                 |
| ------------------------------------ | ----------------------- | -------------------------------------------------- |
| Competitor visibility rising         | Better answer relevance | Improve topical depth and prompt alignment         |
| Competitor citations much stronger   | Better trust footprint  | Increase authority sources and proof quality       |
| You lead visibility, lag on outcomes | Post-click weakness     | Improve destination pages and conversion clarity   |
| Losses concentrated on one platform  | Platform-specific gap   | Adapt content structure for that platform behavior |

## Team routine

1. Weekly: review top movers.
2. Bi-weekly: run one targeted recovery sprint.
3. Monthly: report share movement versus top competitors.

## Keep in mind

* Competitive sets evolve with prompt mix.
* Share gains without citation support are fragile.
* Short reaction cycles outperform quarterly-only reviews.

## Where to go next

* [Visibility](/data/ai-search/visibility)
* [Citations](/data/ai-search/citations)
* [Prompts](/data/ai-search/prompts)
* [Pages](/data/ai-search/pages)