Open in AthenaHQ
app.athenahq.ai/shoppingPurpose
The Shopping Insights page provides an in-depth view of how your brand’s products, and your competitors’ products, appear in AI-driven shopping results. It acts as a specialized analytics dashboard focused entirely on e-commerce and retail visibility within generative AI engines. Customers use this page to monitor their appearance rate, track their average position in shopping carousels, and compare their product pricing and merchant distribution directly against their competitors. This allows marketing and e-commerce teams to understand exactly where and how their products are recommended to buyers searching for related topics.What’s on the page
Page Header Displays the “Shopping Insights” title alongside an info icon. Hovering over the icon shows the tooltip: “Shows how your products appear in AI Shopping results. Track your visibility, position, and compare against competitors.” Filter Bar & Saved Views Located just below the header, this bar allows users to filter the page’s data by Date Range, Models, Competitors, Prompt Tags, and Brand Identifiers. It also includes a Saved Views dropdown to quickly apply previously saved filter configurations. Summary Metrics Row 1 Four top-level KPI cards summarizing overall shopping performance:- Appearance Rate: Percentage of AI Shopping responses that include your products.
- Your Avg Position: Average position of your products in results (lower is better).
- Competitor Avg Position: Average position of competitor products in results.
- Shopping Responses: Total responses that included shopping products. This card is clickable and acts as a drilldown.
- Your Products: Number of times your products appeared.
- Competitor Products: Number of competitor product appearances.
- Total Offers: Total product offers tracked across responses.
- Avg Offer Price: Average price of product offers.
- Position Distribution: A grouped bar chart that shows the distribution of product positions, comparing your products vs. competitors across positions #1 through #10. Hovering over the info icon shows: “Distribution of product positions - compare your products vs competitors”.
- Appearance Trend: A line chart tracking the daily trend of product appearances in AI Shopping over the selected date range. Tooltip: “Daily trend of product appearances in AI Shopping”.
- Price Comparison: A two-panel stat card comparing your average product pricing against competitors. It displays the average price and the range (min-max) for both your brand and competitors. Tooltip: “Compare your product pricing vs competitors”.
- Top Merchants: A grouped bar chart showing which retailers your products and competitor products appear at most frequently (top 6 merchants). Tooltip: “Retailers where products appear most frequently”.
- Product: Product name and merchant, with a thumbnail image if available.
- Appears: Number of times this product appeared in AI Shopping responses.
- Avg Pos: Average position of this product in shopping results (lower is better).
- Rating: Average customer rating of the product, or a dash (-) if unavailable.
- Product: Competitor product name and merchant, with a thumbnail image if available.
- Appears: Number of times this competitor product appeared in AI Shopping responses.
- Avg Pos: Average position of this competitor product in shopping results.
- Rating: Average customer rating of the competitor product, or a dash (-) if unavailable.
- Competitor: Name of the tracked competitor.
- Products: Number of product appearances for this competitor.
- Avg Pos: Average position of this competitor’s products in shopping results.
- Responses: Number of AI Shopping responses that included this competitor.
- Merchant: Name of the retailer or merchant.
- Offers: Total number of product offers from this merchant.
- Avg Price: Average price of products offered by this merchant.
- Products: Number of unique products from this merchant.
- Shopping Responses Card: Clicking the “Shopping Responses” metric card navigates the user directly to the main Responses page (
/responses). The destination page will automatically be pre-filtered to show only responses containing shopping products (equivalent to setting “Has Shopping Products” to “Yes”).
What you can do here
- Filter Data: Use the filter bar to apply filters like Date Range, Models, Competitors, Prompt Tags, and Brand Identifiers. You can click ”+ Add filter” to add new parameters, or “Clear All” to reset non-default filters.
- Open Mobile Filters: On mobile devices, tap “Filters” to open a drawer showing all available filters.
- Load a Saved View: Click the “Views” dropdown and select a previously saved configuration to apply its filters to the page.
- Save as View: Inside the Views dropdown, click “Save as view”, enter a name, pick an icon, and click Save to store the current filter state.
- Clear Selected View: Click the small ”×” button next to the active view’s name to remove the selection and revert to default filters.
- Edit a View: Hover over a saved view in the dropdown, click the ⋯ (options) menu on the right, and click “Edit” to change the view’s name or icon.
- Update Filters: Inside the ⋯ options menu, click “Update filters” to overwrite the saved view with your currently active filters.
- Set/Remove Default View: Inside the ⋯ options menu, click “Set as default” to make that view load automatically when you open the page. Click “Remove default” to undo this.
- Export Data: Inside the ⋯ options menu, click “Export” to download a CSV file of the prompts associated with that specific saved view.
- Delete a View: Inside the ⋯ options menu, click “Delete” to permanently remove the view. This is a destructive action and requires confirmation (“Are you sure you want to delete this view? This action cannot be undone.”).
- Drill into Responses: Click the “Shopping Responses” metric card to jump to the Responses page and inspect the raw AI outputs.
Data shown
The data on this page is sourced from AI Shopping responses collected for the active website’s monitored prompts over the selected date range. It incorporates your configured tracked competitors, extracting product, offer, and merchant details specifically from models that output shopping carousels (such as ChatGPT and AI Mode).Common workflows
Review AI Shopping visibility- Navigate to Shopping Insights from the sidebar.
- Set the desired date range using the Date Range filter.
- Review the Appearance Rate and Your Avg Position metric cards.
- Check the Appearance Trend chart to see visibility over time.
- Review the Position Distribution chart to understand where your products rank.
- Open Shopping Insights.
- Apply any relevant filters (models, competitors, date range).
- Scroll to the Price Comparison card.
- Compare your average price and price range against competitor averages.
- Open Shopping Insights.
- Review the ‘Your Top Products’ table.
- Sort by the Appears column to find most frequently shown products.
- Note the average position and rating for each product.
- Open Shopping Insights.
- Review the Competitor Breakdown table to see which competitors appear most.
- Check the Competitor Products table to see specific competitor products.
- Use the Competitors filter to focus on specific competitors.
- Apply desired filters (date range, models, competitors, etc.).
- Click the Views dropdown and select ‘Save as view’.
- Enter a name and choose an icon, then click Save.
- On future visits, click the Views dropdown and select the saved view to restore the filter state.
- Open Shopping Insights.
- Click the ‘Shopping Responses’ metric card.
- The Responses page opens, pre-filtered to show only responses containing shopping products.
- Open the Views dropdown.
- Hover over a saved view and click the ⋯ options button.
- Select ‘Export’.
- A CSV file of prompts associated with that view will be downloaded to your device.
- Open Shopping Insights.
- Review the Top Merchants bar chart to see which retailers carry your products vs. competitors.
- Review the Top Offer Merchants table for detailed offer counts and pricing by merchant.
Empty, loading, and error states
- Empty: If there is no shopping data available yet, the page displays a large card stating “No AI Shopping Data Yet” alongside the message: “Shopping product data will appear here once AI responses include shopping results for your monitored prompts.”
- Loading: While data is fetching, the top metric cards show skeleton loaders. Charts and tables are not rendered until the data resolves.
- Error/No Access: If the current website does not have AI Shopping features unlocked (specifically, if no shopping responses have ever been tracked for it), the page will automatically redirect the user back to the
/olympusdashboard.
Linked from / links to
- Linked from: The left navigation sidebar (under the “Shopping Insights” item, which is only visible if the website has tracked shopping responses).
- Links to: The Responses page (
/responses) via the metric card drilldown, and the Olympus dashboard (/olympus) via redirect if access is denied.