I'll create a React component that displays a UI for an AI search rank tracker with the information you've requested. Here's the implementation:

This React component creates a UI for an AI search rank tracker with the following features:

1. A summary card showing the total number of links found.

2. A table displaying detailed information for each tracked link, including:

   • The URL of the link
   • The number of characters into the response where the link was found
   • The total number of characters in the response
   • The position of the link
   • The pixel depth where the link was found

The component uses mock data to populate the table, but you can easily replace this with real data from your AI search results.

Key points about the implementation:

1. We're using shadcn/ui components like Table, Card, and their related subcomponents for a clean and consistent look.
2. Tailwind CSS classes are used for styling and layout.
3. The component is responsive and will adjust to different screen sizes.
4. The RankData interface defines the structure of each rank tracking entry.

To use this component in your project, you would typically place it in a page or layout component. For example:

This implementation provides a clear and organized view of the rank tracking data for AI search results. You can further customize the styling or add more features as needed, such as sorting, filtering, or pagination if you have a large number of results to display.

I'll add three boxes above the table to display the average characters until link, average link position, and average pixel depth. Here's the updated component:

I've made the following changes to the rank-tracker.tsx file:

1. Added a new calculateAverages function to compute the average values for characters until link, link position, and pixel depth.

2. Updated the RankTracker component to include four cards above the table:

   • Total Links Found (which was previously in a separate card)
   • Average Characters Until Link
   • Average Link Position
   • Average Pixel Depth
3. Used a grid layout to arrange the cards in a responsive manner. On smaller screens, they'll stack vertically, and on medium screens and larger, they'll be in a row.
4. Each card now uses the same structure for consistency, with a CardHeader containing the title and CardContent containing the value.
5. The averages are calculated using the calculateAverages function and the results are displayed in their respective cards.

This update provides a quick overview of the key metrics at the top of the page, making it easier for users to get a snapshot of the overall performance before diving into the detailed table below.

The table remains unchanged, continuing to provide detailed information for each tracked link. This combination of summary cards and detailed data gives users both a high-level and in-depth view of the AI search rank tracking results.