> For the complete documentation index, see [llms.txt](https://help.impact.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://help.impact.com/brand/what-would-you-like-to-learn-about/performance-program/performance-program-reports/competitive-insights/ai-search-visibility/ai-search-brand-index-report.md).

# AI Search Visibility: Brand Index Report

{% hint style="warning" %}
**Important**: This report is only available to specific impact.com editions or add-ons. [Contact support](https://app.impact.com/support/portal.ihtml?createTicket=true&) to get access.
{% endhint %}

The *AI Search Brand Index Report*, powered by [Evertune](https://www.evertune.ai), measures how visible your brand is in AI-generated answers for a category. The report benchmarks that visibility against every other brand the models surface in the same category.

Scores are measured on [unaided prompts](#user-content-fn-1)[^1], meaning your brand isn't named in the question. The report answers whether an AI model recommends you when a shopper asks a category question, and how you place against competitors on each model.

{% hint style="success" %}
**Note:** Data is refreshed monthly. Each scan runs 5 prompts with 100 iterations per country per model, so approximately 1,500 prompts per category per country across ChatGPT, Microsoft Copilot, and Google AI Overviews, so figures reflect the most recent scan rather than live results.
{% endhint %}

## View the report

1. From the left navigation bar, select ![](https://4048883401-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FwMLlMoFBtKJa8ptd3zaw%2Fuploads%2FaKjJxndRdWwugqEUMfp0%2Fcompetitive%20insights.svg?alt=media\&token=5d32fe6b-75b7-4324-91f5-8e7bc47b97e8) **\[Competitive Insights]** → **AI Search Visibility** → [**Brand Index**](https://app.impact.com/secure/advertiser/insights/report/report.ihtml?handle=geo_overview).
2. Below the report title, filter for the data you want to view.
   * View the [*Filter reference*](#filter-reference) table below for more information.
3. Select <img src="https://4048883401-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FwMLlMoFBtKJa8ptd3zaw%2Fuploads%2FnWkUpLb46TnpPcpYC7Kp%2Fshare.png?alt=media&amp;token=24755a9d-8d42-4bd4-895c-19ef478b9305" alt="" data-size="line"> **\[Share]** at the top-right of the page, then select an option from the drop-down menu:
   * **Invite Users**: Give other users in your account access to the report. This is only available with the correct permissions. Refer to [*Understanding User Management as a Brand*](/brand/what-would-you-like-to-learn-about/account-administration/account-settings/invite-and-manage-users/understanding-user-management-as-a-brand.md) for more information.
   * **Email Report**: Send a copy of the report by email.
   * **Schedule Report**: Have the report generated and emailed automatically on a recurring basis.
   * **List Schedules**: View and manage the delivery schedules already set up for this report.
   * **Download Report**: Export the report in CSV, Excel (.xlsx), or PDF format.
     * Individual widgets also have their own![](https://4048883401-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FwMLlMoFBtKJa8ptd3zaw%2Fuploads%2Fgit-blob-1c990ed7d1179d6bc54ec8a2f98688d63ffdf977%2F1ca7fd10d94ed494c076e86be8f0d3f371693b11c47f1b26ec0435a27e0e48c5.svg?alt=media)**\[Download]** button for exporting just that widget's data.

<details>

<summary>Filter reference</summary>

<table><thead><tr><th width="149.78125">Filter</th><th>Description</th></tr></thead><tbody><tr><td>Country</td><td>The country the scan was run in. Each country is scanned independently, so a category tracked in two countries returns two separate sets of results.</td></tr><tr><td>Category</td><td>The product category being analyzed, for example <em>Business Banking</em>. Think in product categories rather than search queries — <em>Women's Summer Fashion</em> rather than <em>most popular summer fashion for women 2026</em>.</td></tr><tr><td>Model</td><td>The AI models to include. Select one or more AI models you want to analyze your data from.</td></tr><tr><td>Brand</td><td>The brands to include in the comparison. Leave unfiltered to see the full competitive set.</td></tr></tbody></table>

</details>

## Metrics in this report

There are 3 metrics that carry the report:

* [x] **AI Score**: A 0–100 measure of how likely a model is to recommend your brand unprompted. It combines *Visibility Score* and *Average Position*. A score of 100 means the brand appeared in 100% of responses in first position every time.
* [x] **Visibility Score**: How often your brand appears in responses for the category.
* [x] **Average Position**: How high your brand ranks within the responses it appears in. Lower is better, so an average position of 1.51 outranks 2.86.

{% hint style="warning" %}
**A score of 0 means your brand never appeared — it does not mean data is missing.** A brand can also move from 0 to a real score between scans, because model answers are probabilistic and AI search shifts faster than SEO.
{% endhint %}

## Brand Visibility Overview

The top of the report sizes up the competitive set before you look at any individual score.

<table><thead><tr><th width="307.4921875">Tile</th><th>Description</th></tr></thead><tbody><tr><td>Brands in Category (All Report Dates)</td><td>The total number of brands the models have surfaced in this category across every scan to date.</td></tr><tr><td>Brands in Category (Last Scan)</td><td>The number of brands surfaced in the most recent scan. A low number means competitors frequently enter and leave between scans. </td></tr><tr><td>Last Scan Date</td><td>The date the most recent scan ran.</td></tr></tbody></table>

<div data-with-frame="true"><figure><img src="https://4048883401-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FwMLlMoFBtKJa8ptd3zaw%2Fuploads%2F5sOAMOna8e9irKAsN2Mn%2FScreenshot%202026-09-10%20at%2016.38.57.png?alt=media&amp;token=46269d78-e6ea-4589-a817-ebcba30a9871" alt=""><figcaption></figcaption></figure></div>

The *Brand Visibility Overview* includes four main sections:

<details>

<summary>AI Score by Brand &#x26; Model</summary>

A grouped bar chart showing each brand's AI Score for the latest scan date, broken out by model. Brands are ordered by score, and each brand shows one bar per model.

Use this chart to compare model performance. Scores can vary significantly between engines for the exact same category and scan (e.g., scoring 86 on ChatGPT Search vs. 44 on Google AI Overviews).

Hover over a bar to see the exact score for each model.&#x20;

<div data-with-frame="true"><figure><img src="https://4048883401-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FwMLlMoFBtKJa8ptd3zaw%2Fuploads%2FDKzz0b1K7XCUCj2kCrwE%2FScreenshot%202026-09-17%20at%2009.50.59.png?alt=media&amp;token=a4667e99-4324-463d-93f9-2f7a9ed9b7ac" alt=""><figcaption></figcaption></figure></div>

</details>

<details>

<summary>Brand Index table</summary>

The same latest scan data as the chart above, split into the two metrics that make up the AI Score (*Visibility Score* and *Average Position*).&#x20;

<div data-with-frame="true"><figure><img src="https://4048883401-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FwMLlMoFBtKJa8ptd3zaw%2Fuploads%2FhkAphdax5wuGSrpmCgY1%2FScreenshot%202026-09-17%20at%2009.54.20.png?alt=media&amp;token=b212df77-2fe2-40db-a7d9-4812b8f8b96e" alt=""><figcaption></figcaption></figure></div>

<table><thead><tr><th width="179.06640625">Column</th><th>Description</th></tr></thead><tbody><tr><td>Brand</td><td>The brand the row describes.</td></tr><tr><td>Model</td><td>The AI model the row's scores were measured on. Each brand has one row per model.</td></tr><tr><td>AI Score</td><td>The 0–100 combined score for that brand on that model.</td></tr><tr><td>Visibility Score</td><td>How often the brand appeared in responses for the category.</td></tr><tr><td>Average Position</td><td>The brand's average rank within the responses it appeared in. Lower is better.</td></tr></tbody></table>

</details>

<details>

<summary>Visibility vs. Average Position</summary>

A bubble chart plotting every brand that has visibility in the latest scan. *Visibility Score* runs along the horizontal axis and *Average Position* along the vertical axis, with each bubble sized and colored by *AI Score*.

* <mark style="color:green;">**Bottom right**</mark> is the strongest position — the brand appears often and ranks high.
* <mark style="color:red;">**Top left**</mark> is the weakest — the brand appears rarely and ranks low when it does.

<div data-with-frame="true"><figure><img src="https://4048883401-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FwMLlMoFBtKJa8ptd3zaw%2Fuploads%2FGkaYICRNevLHhGUmIE0T%2FScreenshot%202026-09-17%20at%2009.55.25.png?alt=media&amp;token=e5dfeca9-d141-4e2e-82cf-c7c290c59903" alt=""><figcaption></figcaption></figure></div>

Hover over any bubble to see a brand's *Visibility Score*, *AI Score*, and *Average Position* for a single model. This helps you identify whether a high-ranking competitor appears consistently or only occasionally.&#x20;

</details>

<details>

<summary>AI Score Over Time</summary>

This table displays AI Scores by brand and model across scan dates, allowing you to track performance trends over time rather than relying on a single snapshot. Because monthly scores naturally fluctuate, viewing historical data helps you distinguish true performance trends from routine scan-to-scan variation.

{% hint style="success" %}
**Note:** A brand showing 0 in earlier columns and a real score in the latest one may reflect model coverage being added over time rather than a sudden change in that brand's visibility.
{% endhint %}

<div data-with-frame="true"><figure><img src="https://4048883401-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FwMLlMoFBtKJa8ptd3zaw%2Fuploads%2F4n59l6tf31TxVJ3o0wJP%2FScreenshot%202026-09-17%20at%2010.02.38.png?alt=media&amp;token=88d3aa2d-6fd9-4d23-b76c-c8a889c53dca" alt=""><figcaption></figcaption></figure></div>

</details>

## Act on what the report shows

The *Brand Index Report* measures the outcome. To see which partners and articles the models draw on for these answers — and which of them you can recruit — use the [AI Source Opportunities Report](/brand/what-would-you-like-to-learn-about/performance-program/performance-program-reports/competitive-insights/ai-search-visibility/ai-search-opportunities-report.md).

For more on how the data is collected and how categories work, see the [AI Search Visibility FAQ](/brand/what-would-you-like-to-learn-about/performance-program/performance-program-reports/competitive-insights/ai-search-visibility/ai-search-visibility-faq.md).

[^1]: An unaided prompt is a direct instruction given to an AI without providing examples, background context, or reference material to guide its response.


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