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app.athenahq.ai/shoppingPurpose
The Shopping Insights page is a specialized dashboard that tracks how a customer’s products appear within AI-generated shopping carousels and product recommendations. Since search engines and AI assistants increasingly surface direct product widgets (like ChatGPT’s shopping results) instead of just text, this page helps e-commerce and product-focused brands measure their visibility in those specific formats. Customers use this page to understand if their products are showing up, what position they rank in the shopping results, what prices the AI is quoting, and how they compare against their tracked competitors. It allows them to benchmark their pricing and discover which retail merchants the AI prefers to link to for their products.What’s on the page
Page Header
Displays the page title alongside an info icon.- Tooltip: “Shows how your products appear in AI Shopping results. Track your visibility, position, and compare against competitors.”
Filter Bar
A horizontal row of filters that globally update the page. On mobile, this is collapsed behind a “Filters” button. Includes a “Views” dropdown to manage saved configurations.Summary Cards – Row 1
Top-level Key Performance Indicators (KPIs):- 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. Click to view.”
Summary Cards – Row 2
Secondary product-level metrics:- 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”
Charts
- Position Distribution: A grouped bar chart (Your Products in indigo, Competitors in orange) plotting how often products appear at each position number (e.g., #1 through #10).
- Tooltip: “Distribution of product positions - compare your products vs competitors”
- Appearance Trend: A line chart showing the daily count of appearances over the selected date range.
- Tooltip: “Daily trend of product appearances in AI Shopping”
- Price Comparison: Two side-by-side stat blocks showing “Your Avg Price” and “Competitor Avg Price”, along with the lowest-to-highest price ranges below each.
- Tooltip: “Compare your product pricing vs competitors”
- Top Merchants: A grouped bar chart showing which specific retail websites (merchants) the AI links to most often for both your products and your competitors’ products.
- Tooltip: “Retailers where products appear most frequently”
Your Top Products Table
Lists the specific products from the customer’s brand that the AI recommends the most.- Tooltip: “Your products that appear most frequently in AI Shopping”
- Columns:
- Product: The name of the product and the merchant, alongside a thumbnail image if the AI provided one.
- Appears: The total number of times this specific product showed up in AI Shopping responses.
- Avg Pos: The average rank/position of this product within the shopping results carousel.
- Rating: The average customer rating of the product, or a dash if the AI didn’t provide one.
Competitor Products Table
Lists the specific rival products that surface alongside the customer’s brand.- Tooltip: “Competitor products that appear alongside your brand queries”
- Columns:
- Product: The competitor’s product name, merchant, and thumbnail.
- Appears: The number of times this competitor product was recommended.
- Avg Pos: The average position of this competitor product in the shopping results.
- Rating: The average customer rating of the competitor product.
Competitor Breakdown Table
Summarizes shopping performance rolled up by competitor brand rather than individual products.- Tooltip: “How often each competitor appears in shopping results”
- Columns:
- Competitor: The name of the tracked competitor brand.
- Products: The total number of times their products appeared.
- Avg Pos: The average position of this competitor’s products overall.
- Responses: The number of unique AI responses that included this competitor.
Top Offer Merchants Table
Shows which retail storefronts the AI is pulling pricing and links from most often.- Tooltip: “Merchants with the most product offers”
- Columns:
- Merchant: The name of the retailer (e.g., Amazon, Walmart, direct site).
- Offers: The total number of product offers from this merchant.
- Avg Price: The average price of the products offered by this merchant.
- Products: The number of unique products the AI found at this merchant.
What you can do here
- Drill down into shopping responses: Clicking anywhere on the “Shopping Responses” metric card takes the user to the Responses page. The page will be automatically pre-filtered to show only the responses that contained shopping products.
- Filter Data: Users can filter the dashboard using the top filter bar.
- Date Range: Filter by time window (defaults to the last 30 days).
- Models: Filter by AI models. Note: Only shopping-capable models (like ChatGPT and AI Mode) are available here.
- Competitors: Focus the data on specific tracked competitors.
- Prompt Tags: Filter by prompts with specific tags (supports “is any of”, “is not any of”, and “has all of” logic).
- Brand Identifiers: Filter by specific brand properties tracked by the system.
- Clear All Filters: If any non-default filters are active, a “Clear All” button appears to quickly reset the view.
- Manage Saved Views: Using the “Views” dropdown on the left of the filter bar, users can:
- Save as view: Click to name and save the current filter combination.
- Load a view: Click any saved view in the list to apply its filters.
- Clear selected view: Click the ”×” button next to an active view to revert to defaults.
- Edit: Open the ”⋯” (More) menu next to a view to rename it or change its icon.
- Update filters: Open the ”⋯” menu and select this to overwrite the view’s saved filters with whatever is currently active on the page.
- Set as default / Remove default: Open the ”⋯” menu to make a view load automatically when opening the page, or remove that setting.
- Export: Open the ”⋯” menu to download a CSV file of the prompts associated with that saved view.
- Delete: Open the ”⋯” menu and select Delete. A confirmation dialog will ask: “Are you sure you want to delete the view ‘[name]’? This action cannot be undone.” (If created by someone else, it will mention the creator’s name).
- Mobile Filters: On smaller screens, clicking the “Filters” button opens a bottom drawer containing all filter options and saved views.
Data shown
The data on this page is derived exclusively from AI Shopping responses gathered for the customer’s tracked prompts. When an AI (like ChatGPT) generates a response that includes a dedicated shopping widget or product carousel, the system extracts the product titles, prices, merchants, positions, and ratings. This data is cross-referenced against the customer’s configured brand identifiers and tracked competitors to determine which products belong to the customer and which belong to competitors.Common workflows
1. Review AI Shopping visibility- Navigate to Shopping Insights from the main sidebar.
- Set the desired date range using the Date Range filter in the top bar.
- Review the “Appearance Rate” and “Your Avg Position” summary cards to understand overall visibility.
- Compare your metrics against the “Competitor Avg Position” card.
- Scroll down to view the Position Distribution and Appearance Trend charts for historical context.
- Open the Shopping Insights page.
- Review the Price Comparison section to see your average product price versus the competitor average price.
- Check the price ranges (lowest to highest) shown below each average.
- Use the Competitor Breakdown table to see exactly which competitors are appearing most often.
- Open the Shopping Insights page.
- Scroll down to the “Your Top Products” table.
- Sort or scan the “Appears” column to see which specific items the AI recommends most frequently.
- Note the “Avg Pos” to see if your top recommended items are actually showing up first.
- Compare these against the “Competitor Products” table to benchmark what rival products are surfacing for the same searches.
- Apply the desired filters (e.g., specific dates, models, or prompt tags).
- Click the “Views” dropdown on the far left of the filter bar and select “Save as view”.
- Enter a name (and optionally pick an icon), then click Save.
- On future visits, simply click the “Views” dropdown and select the saved view to instantly restore those filters.
Empty, loading, and error states
- Loading: While the page fetches data, the summary metric cards display gray pulsing skeleton placeholders. The charts and tables will not render until the data is ready.
- Empty: If there is no shopping data for the selected filters (or the brand hasn’t generated any shopping responses yet), the charts are replaced by a card stating “No AI Shopping Data Yet” with the subtext: “Shopping product data will appear here once AI responses include shopping results for your monitored prompts.”
- Errors: There is no dedicated error screen for the shopping charts. If a network fetch fails, the page falls back to treating the data as empty (zeroes and the empty state card).
Linked from / links to
- Linked from: The main navigation sidebar (clicking “Shopping”).
- Links to: The Responses page (by clicking the “Shopping Responses” metric card, which applies a filter to show only shopping-related responses).
- Links to (Redirect): If a user tries to access this page but their account has never generated any shopping responses, the system will immediately redirect them to the
/olympus(Brand Visibility) page.