Open in AthenaHQ
app.athenahq.ai/shoppingPurpose
The Shopping Insights page shows how your brand’s products appear in AI shopping results (specifically for models like ChatGPT and AI Mode). It tracks your product visibility, average rank position, pricing, and allows you to compare your performance directly against your tracked competitors. This page serves as a dedicated dashboard for e-commerce and retail brands to understand their product footprint inside AI answers, helping you see not just if you are mentioned, but what specific products the AI is surfacing to consumers.What’s on the page
Page header Displays the page title “Shopping Insights” alongside a small info icon. Hovering over the info icon displays the tooltip: “Shows how your products appear in AI Shopping results. Track your visibility, position, and compare against competitors.” Filter row A sticky bar containing contextual filters and saved views, allowing you to slice the dashboard’s data by Date Range, Models, Competitors, Prompt Tags, and Brand Identifiers. Hero card The most prominent visual on the page. It highlights your AI shopping visibility percentage and the raw count of answers your products appeared in. It also features a quick sparkline trend of your daily appearance rate, a “View shopping answers” link, and a head-to-head comparison panel (“You vs the field”) showing your average rank position and average price compared to your competitors. Stat rail A row of four key metric tiles:- Shopping answers: The total number of AI answers that included shopping results.
- Your appearances: How many times your products were surfaced.
- Competitor appearances: How many times competitor products were surfaced.
- Tracked offers: The total number of product offers tracked, along with the overall average price.
- #: Rank position in the leaderboard (by product count, descending).
- Competitor: Competitor brand name.
- Products: Number of distinct products this competitor had appear, visualized with a proportional orange bar.
- Avg pos: Average rank position this competitor’s products appeared at across responses.
- Answers: Number of AI shopping responses that included this competitor’s product(s).
- Retailer: Merchant/retailer name.
- Listings: Count of listings from this retailer as a proportional bar (indigo = yours, orange = competitors). Hovering over this column displays a tooltip with the exact count breakdown for both you and your competitors.
- Avg pos: Average rank position of products carried by this retailer, for the selected side (yours or competitors).
- Answers: Number of responses in which this retailer’s listing (for the selected side) appeared.
What you can do here
- Filter the data: Use the top filter bar to drill down by Date Range, Shopping Models (e.g., ChatGPT, AI Mode), specific Competitors, Prompt Tags, or Brand Identifiers.
- Save custom views: Once you have configured your desired filters, click the “Views” dropdown on the left side of the filter bar and select “Save as view” to quickly access this exact configuration later.
- Toggle comparisons: Use the “Yours / Competitors” segmented controls located in the “On the shelf” header and the “Top retailers” header to flip the perspective of those sections.
- Drill down to answers: Click the “View shopping answers” link in the hero card, or click the entire “Shopping answers” stat tile. This drills down to the Responses page, automatically applying a filter to only show responses that included shopping products.
- Visit retailer listings: Click any individual product card inside the “On the shelf” section to open the original retailer’s product listing in a new browser tab.
Data shown
The data displayed on this page is generated from AI shopping responses (such as ChatGPT or AI Mode) captured for your current website within your selected date range and filters. It includes both your own tracked products and the product appearances of your configured competitors.Common workflows
Review overall shopping visibility- Navigate to the Shopping Insights page from the left sidebar.
- Look at the Hero card to review your headline AI shopping visibility percentage and see how you compare to the field in average position and price.
- Scroll through the four stat tiles to check raw counts for answers, appearances, and tracked offers.
- Locate the filter row at the top of the dashboard.
- Adjust the Date Range filter or open the Models filter to select a specific AI (e.g., AI Mode).
- The dashboard will instantly re-fetch and update all cards, charts, and tables to reflect the newly scoped data.
- Scroll down to the “On the shelf” section.
- Click the segmented control to toggle between “Yours” and “Competitors”.
- Review the product cards to see which items are surfaced most frequently, noting their average positions and merchant sources.
- Click any product card to visit the actual retailer listing in a new tab.
- Click the “View shopping answers” link in the Hero card or click the interactive “Shopping answers” stat tile.
- You will land on the Responses page, which will be pre-filtered to only show AI responses containing shopping products.
- Read the underlying AI responses to understand exactly how the AI recommended the products.
- Adjust the top filters (Date Range, Models, Prompt Tags, etc.) to your preferred reporting setup.
- Click the “Views” dropdown on the far left of the filter row and choose “Save as view”.
- Give the view a name and select an icon so you can easily pull up this exact report next time.
Empty, loading, and error states
- Loading: While the page is fetching data, you will see skeleton placeholders that mimic the shapes of the hero card, the four stat tiles, the product shelf, and the chart/table cards.
- Empty: If your configured prompts haven’t yielded any shopping results yet, the page will display a card featuring a shopping bag icon and the text “No AI shopping data yet”, explaining that insights will appear once AI assistants start returning shopping results for your monitored prompts.
- Error: If the dashboard fails to load the data due to a network or server issue, an error card will appear stating “Couldn’t load shopping data” along with a “Try again” button to re-fetch the data.