Accurate prompt level analytics
you can trust.
Track your brand visibility across AI models. Prompt Explorer turns raw LLM responses into statistically reliable metrics, so you can see where you stand, spot competitive gaps, and act with confidence.
Drill down into the data behind every metric. Every prompt, every response, every model fully searchable when you need to understand what is really driving performance.
Metrics that hold up.
A single AI response tells you almost nothing. Ask the same question twice and maybe you will get two different answers. The signal is in the pattern: across enough runs, over time.
Prompt Explorer is built around that principle. It tracks each prompt in your category continuously, aggregates responses into stable visibility metrics, and surfaces the trends that tell you something real: where your brand is consistently mentioned, where it is consistently missing, and how that is moving week over week.
The result is a source of truth you can bring into a strategy meeting, a competitive review, or a client conversation: not a snapshot of what one model said once.
What the report contains
Prompt Explorer is structured around four core diagnostic areas designed to turn raw AI responses into actionable strategic intelligence.
1. Prompt Tracking & SOA Metrics
Every tracked prompt has its own performance profile: overall Share of Answer (SOA), average position, model-level breakdown, and trend over time, all built from the full response sample.
This section gives strategy teams a clear, quantified picture of where their brand stands on specific queries: and how that compares to the competitors they are losing ground to.
Tracked Prompts
Cross-model performance metrics
| Prompt | SOA | Avg Pos | Cited Brands |
|---|---|---|---|
| Best electric SUVs for camping in 2026 | 95% +5% | 2.3 -0.8 | |
| Affordable electric sedans under $40k | 45% +5% | 3.2 -0.8 | |
| Best luxury electric cars 2026 | 88% +5% | 1.9 -0.8 | |
| Electric car charging infrastructure | 38% +5% | 4.5 -0.8 | |
| Fastest electric cars 0-60 in 2026 | 92% +5% | 1.5 -0.8 |
2. Detail Drill-Down & Grounding Sources
Drill into any prompt to explore the underlying visibility architecture. From historical SOA evolution to Source Prominence (the domains and URLs grounding responses), every data point is traceable across a solid sample size.
Understand not just *if* you are being cited, but *where* that authority is coming from, allowing you to identify the specific domains and URLs that are driving your AI brand presence.
Metric Evolution
Performance tracking over time
3. Prompt Gaps: Competitive Whitespace
The Prompt Gaps view maps your performance against selected competitors, broken down by segment and topic area. It identifies exactly where you are invisible while others are being cited.
By colour-coding gaps by severity, Prompt Explorer turns performance data into a prioritised map of where to act: so your SEO and content strategy focus on the gaps that matter.
Prompt Gaps Analysis
Visibility Breakdown • 3 Brands
| Segment | Tesla(YOU) | |||
|---|---|---|---|---|
Sedans 3 prompts | ||||
| Which electric sedan has the best range for long commutes? | 87.2% | -15pp | -19pp | |
| Best luxury sedans for 2026: Tesla, BMW and Hyundai comparison | 82.5% | -9pp | -2pp | |
| How do interior materials and quality compare in Model S vs BMW i7? | 79.8% | -6pp | -4pp | |
SUVs 1 prompt | ||||
| Most cargo space for camping and outdoor gear in 2026 electric SUVs | 91.2% | -11pp | -14pp | |
4. Historical Response Archive
The full collection of raw responses is stored and browsable: allowing you to read exactly what the models are saying about your brand and understand the narrative behind the numbers.
Every prompt execution is timestamped and preserved, creating a permanent audit trail of how AI models respond to your brand over months and years.
Model Responses Analysis
Historical Archive • 6 Models
What you can do with it
Porting raw data into actionable strategic intelligence for specialists and strategists.
Build a credible baseline
Prompt Explorer gives you metrics built from consistent, repeated sampling, not one-off queries. That makes them reliable enough to track over time and use as the foundation for strategic decisions.
Understand trends, not snapshots
Visibility evolution charts show you how performance is moving on each prompt, so you can distinguish a structural problem from a temporary dip, and identify when a competitor started gaining ground.
Audit the numbers when it matters
When a metric surprises you, the response archive lets you go back to the source. Read what the models are actually saying. Understand the narrative being built around your brand.
Identify and prioritise competitive gaps
The Prompt Gaps view turns your performance data into a prioritised map of where to act. Not a single aggregate score, but a prompt-by-prompt breakdown of where you are losing ground.
The layer most tools don't reach.
Aggregate category scores are useful for executive reporting. They are not enough for the people who have to decide what to do next.
Prompt Explorer is built for that second use case. It gives specialists and strategists the prompt-level resolution to move from "our GEO visibility is declining" to "we are losing ground on these three prompt clusters, in these two models, and the domains grounding those responses aren't ones we are present on."
That is the difference between a metric and an insight.
The visibility metrics your GEO
strategy needs: and the depth to understand them.
Prompt Explorer is included in the core Prominence AI platform. All tracked prompts, all models, full response history: from day one.
Prompt Explorer
Frequently Asked Questions
Everything you need to know about the core visibility intelligence module of Prominence AI.