Analytics & proof
Turn AI answers into numbers your whole org can agree on
Every monitoring run becomes structured insight: how often you appear, who else is in the answer, how people feel about it, and which sources get cited. Prompt Crossing keeps it in one timeline so you are not stitching spreadsheets by hand.
At-a-glance KPIs after each run
Surface the headline metrics leadership asks for first—then peel back layers for the specialists on your team.
Hit rate
How often your brand shows up when the AI answers your tracked questions.
Share of voice
Your slice of the answer relative to competitors and alternatives.
Sentiment
A clear read on whether the model paints you favorably or not.
Mention position
Where you land in the narrative—not just if you appear, but how prominently.
Hit rate (combined)How often your brand was mentioned in AI answers for the probed prompts. Higher means you show up more often.
72.5%Share of voice (combined)Your share of mentions versus tracked competitors in those answers. Higher means you dominate the conversation more than rivals.
58.3%Avg mention positionAverage rank when your brand is listed among options in an answer (lower / closer to #1 is better).
#1.4Sentiment (mode)Overall tone toward your brand in the AI answers (e.g. positive, neutral, negative).
positiveTrends that show momentum—or drift
Compare how you and competitors move across runs. Spot a sudden drop after a product launch, a PR moment, or a competitor campaign—before it shows up in traditional search reports alone.
- Brand vs. competitor lines over time
- Anchored to each monitoring batch
- Export-friendly views for decks
Prompt Crossing
Mentions over time
Filter by term
Run history you can defend in a review
Each check is stored as a batch: what was requested, what succeeded, and per-surface results. Expand a run to see entities, competitor mentions, citations, and the raw answer text when you need receipts.
- Newest-first timeline of batches
- Per-surface breakdown inside each batch
- Citations with titles and URLs
Run history (all terms)
3 batchesCitations, gaps, and where to publish next
See which domains the model leans on when it answers. Roll up top links across runs for pitching partnerships—or feed the signal into the visibility workspace to prioritize queries and content moves.
After you sign in, the visibility workspace builds on the same batch data to highlight opportunities and citation gaps—without starting from scratch.
Top citation domains (all terms)
Top 10 of 6| Domain | Category | Citations |
|---|---|---|
| searchengineland.com | Industry news | 18 |
| reddit.com | Community / forum | 14 |
| forbes.com | Business media | 11 |
| ahrefs.com | SEO tooling | 9 |
| hubspot.com | Marketing education | 7 |
| wikipedia.org | Reference | 5 |
One analytics layer from specialist to steering committee
From KPI strip to trend chart to expanded batch row—one evidence trail specialists and leadership can share.
Prompt Crossing · Analytics storyboard
Hit rate (combined)How often your brand was mentioned in AI answers for the probed prompts. Higher means you show up more often.
72.5%Share of voice (combined)Your share of mentions versus tracked competitors in those answers. Higher means you dominate the conversation more than rivals.
58.3%Avg mention positionAverage rank when your brand is listed among options in an answer (lower / closer to #1 is better).
#1.4Sentiment (mode)Overall tone toward your brand in the AI answers (e.g. positive, neutral, negative).
positivePrompt Crossing
Mentions over time
Filter by term
Top citation domains (all terms)
Top 10 of 6| Domain | Category | Citations |
|---|---|---|
| searchengineland.com | Industry news | 18 |
| reddit.com | Community / forum | 14 |
| forbes.com | Business media | 11 |
| ahrefs.com | SEO tooling | 9 |
| hubspot.com | Marketing education | 7 |
| wikipedia.org | Reference | 5 |
Run history (all terms)
3 batchesSee analytics on your own terms
Create a workspace, run monitoring, and open the term view to explore batches and charts live.