Open in AthenaHQ
app.athenahq.ai/responsesPurpose
The Responses page is the core investigative view of your Athena product. It allows you to browse and inspect every individual AI-model response captured for the prompts you are tracking. While dashboards like Olympus show you the big picture, this page lets you read exactly what the AI models said, word-for-word. Customers rely on this page to dig into the raw data. Whether you need to see exactly why a competitor is being recommended, verify that your brand is being cited accurately, or audit the sentiment of a specific prompt variation, the Responses page provides the granular details. It features a highly customizable, spreadsheet-like table where you can slice and dice the data using a rich set of filters, toggle specific columns on or off, and export the exact dataset you need for external reporting.What’s on the page
Page header Displays the “Responses” title. If you navigated here from a specific drilldown (like clicking a stat in the Prompts drawer or the Ads page), a back arrow appears next to the title to return you to your previous view. Filter row A sticky bar containing your active filters, an “Add filter” button to narrow down the dataset, a Saved Views dropdown, a “Columns” picker, and an “Export as CSV” button. On mobile devices, filters and actions are tucked into a “Filters” button and a ”⋯” (More) menu. Responses table A robust, spreadsheet-style table where each row represents a single answer generated by an AI model. The table supports infinite scrolling via a “Load More” button at the bottom. Responses drawer (Drilldown) Clicking any row in the table opens a side drawer. This drawer reveals the full response text, prompt details, competitor and source links, attributes, sentiment, and edit controls. Opening the drawer automatically updates the page URL so you can easily link directly to a specific response. Export dialog Triggered by clicking “Export as CSV”, this modal allows you to choose exactly how many responses you want to export to a spreadsheet.What you can do here
- Filter data: Click “Add filter” to narrow the table by dozens of criteria (Date Range, Models, Prompt Status, Sentiment, Brand Mentioned, Has Sources, Competitors, and more).
- Search: Use the “Response search” or “Source Search” filters to find exact keywords within the AI output or cited URLs.
- Clear filters: Click “Clear All” to remove all active, non-default filters at once.
- Customize columns: Click the “Columns” button (or the “Columns” submenu under the mobile ”⋯” menu) to toggle specific data points on or off, and drag to reorder them. Your column layout is saved in your browser storage automatically.
- Sort and resize columns: Click any supported column header to toggle ascending/descending sort. Drag the right edge of a column header to resize it, or double-click the edge to automatically fit it to the content.
- Save your view: Use the Saved views dropdown to save your current filter configuration, rename it, set it as your default, or share it.
- Inspect a response: Click any row in the table to open the Responses drawer for a deeper dive.
- Navigate quickly: While the drawer is open, you can use the Up and Down arrow keys on your keyboard to rapidly navigate to the previous or next response row in the table.
- Load more data: Scroll to the bottom of the table and click “Load More” to fetch the next 40 responses.
- Export as CSV: Click “Export as CSV” in the toolbar (or mobile ”⋯” menu). In the dialog that appears, use the + / - buttons or the quick-select amounts (1,000, 5,000, 10,000) to adjust the volume. Click “Export all” to pull the entire filtered dataset. Click Export to start the download (a progress toast will appear), or Cancel to back out.
Data shown
The table displays the actual responses generated by AI models when answering the prompts you are tracking. It also aggregates the associated brand and competitor logos, derived sentiment analysis, citation checks, and geographic tags applied to those responses. Data updates based on your active schedule and manual prompt runs.Common workflows
Investigate why a competitor is winning a prompt- Open the Responses page (or arrive by clicking an analytic stat in a prompt’s drawer).
- Open the filter menu and set Brand Mentioned to “No” and add a Competitors filter for your rival.
- Scan the “Competitors Mentioned” and “Sentiment” columns to see how positively they are portrayed.
- Click a row to open the drawer, read the full response text, and inspect which sources the AI cited to formulate that answer.
- Add a filter for Has Been Cited = “Yes” (or Has Attributed Citation = “Yes”).
- Review the “Sources” and “Cited” columns across the table.
- Click into a row’s drawer to inspect the exact URLs the AI model linked back to.
- Apply your desired filters (e.g., specific Date Range, Models, or Competitors).
- Click Export as CSV in the top right of the table.
- In the Export dialog, adjust how many rows you want to pull (or click “Export all”).
- Click Export and wait for the progress toast to complete the download.
Empty, loading, and error states
- Empty: If your filters are too restrictive or no data exists, the table body clears and shows a “No responses found.” message.
- Loading: While data or filters are initially fetching, an animated loader appears in the center of the table (the column headers remain visible).
- Error: General fetching errors are captured by the system in the background. If a CSV export fails, a red error toast appears explaining the failure.
Linked from / links to
- Linked from: Prompt analytics drawers (“View responses” links), Ads page drilldowns, Sankey diagrams, Olympus dashboard metric cards, Content drilldowns, and guided tour links.
- Links to: If you arrived via a drilldown (like a specific prompt or the Ads page), a back arrow in the page header will link you back to your exact previous location (e.g.,
/promptsor/ads).