For a single tracked content item, returns every prompt whose AI responses cite the URL — with citations, citation %, and estimated impressions for the date range.
Use this to drill into a specific URL after POST /api/v1/content. Works for both 1st-party (topic-attached) and 3rd-party / Reddit content without topic assignment.
When the URL exists but has no normalized form (legacy unnormalized rows) the response is a successful 200 with prompts: []. Unknown content_id returns 404.
Documentation Index
Fetch the complete documentation index at: https://docs.athenahq.ai/llms.txt
Use this file to discover all available pages before exploring further.
Request body for drilling into the prompts that cite a single content item.
The website that owns the content item. Must match the content's website.
"123e4567-e89b-12d3-a456-426614174000"
The content_id returned by POST /api/v1/content. The endpoint resolves this server-side to a normalized URL and queries every prompt whose responses cite it.
"11111111-2222-3333-4444-555555555555"
Filters for querying responses and metrics. Pass location filters in the JSON body as filters.location_ids.
If true, only count responses that mention your brand. If false, only responses that don't. Omit to count every response.
Successful response with the list of citing prompts.
The content_id that was queried.
The content's display URL (may be null for legacy rows).
The content's normalized URL — the value joined against citation data. null for legacy rows that were never normalized; in that case prompts is always [].