Audit your prompt coverage across intent and funnel stages, then understand citation sources and quality mix.
These views help you audit what you're monitoring and where AI platforms get their information — two complementary inputs to your visibility strategy.
The Prompt Coverage Matrix audits the composition of your own monitored prompt set so you can spot blind spots in your data-acquisition strategy. It maps every active prompt onto a 3 × 3 grid:
Each of the 9 cells shows the prompt count for that bucket, scaled by size (number of prompts) and fill intensity (share of your total). Empty cells render with a dashed outline so coverage gaps are obvious.
| Quadrant | Position | What it means |
|---|---|---|
| Discovery | Top-left | Top-of-funnel × Unbranded. Awareness-stage queries where users seek category answers without naming any brand. |
| Awareness | Top-right | Top-of-funnel × Branded. Users introducing themselves to your brand — "what is X?", "tell me about X". |
| Conversion Gap | Bottom-left | Bottom-of-funnel × Unbranded. High-intent buyers shopping the category without naming brands — a major opportunity surface. |
| Loyalty / Retention | Bottom-right | Bottom-of-funnel × Branded. Decision-stage queries from users who already know you — pricing, signup, support. |
The citation sources table shows the top domains that AI platforms reference when responding to your prompts.
Each source includes:
At the top of the table, chips show the percentage breakdown across source types. This tells you what kind of content AI platforms trust for your category.
| Source Type | Examples | What it means |
|---|---|---|
| Editorial | Forbes, TechCrunch, BBC, Reuters | AI trusts professional publications for your topic |
| UGC | Reddit, Quora, YouTube, Medium | Community content influences AI responses |
| Corporate | .gov, .edu domains | Institutional sources carry weight |
| Other | Everything else | General web sources |
A pie chart showing the overall distribution of citation types across all your monitored prompts. Track this over time to see if your optimization efforts shift the mix toward more editorial or domain-specific citations.