The questions your buyers ask AI — before your competitors find them.
AI queries are longer, more conversational, and more decisive than search keywords. Prompt Discovery maps them for your category, classifies intent, and tells you which ones you're not in.
Evidence-ranked discovery, not guesswork.
- 1
Mine real questions
We harvest the questions people publicly ask about your category — communities, Q&A surfaces, autocomplete patterns — and expand them into the phrasings AI users actually type.
- 2
Cluster by intent
Every prompt is classified — comparison, pricing, migration, how-to, recommendation — so you can plan content against the buyer journey, not a keyword dump.
- 3
Rank by evidence
Prompts are scored on observable signal: recurrence across sources, citation activity in live answers, and growth inside your own tracked set.
- 4
Promote to tracking
One click moves a discovered prompt into daily Answer Intelligence measurement. Discovery feeds measurement; measurement proves impact.
We don't invent volume numbers.
Real AI query volumes require licensed, opted-in consumer panels — expensive, rare, and easy to fake. Tools that display 'AI search volume' without naming a panel are showing you a model's guess dressed as a metric.
- Every ranking factor in Prompt Discovery is observable and named
- No synthetic "volumes," no black-box demand curves
- When we add panel-backed volumes, the source will be disclosed — until then, we won't pretend
Why this matters
You will present these numbers to your CMO. When someone asks "where does this volume come from?", "a vendor's proprietary estimate" ends careers faster than "we rank by documented evidence." We built for the second answer.
Evidence-ranked discovery finds the same content opportunities — the comparison prompts, the migration questions, the category gaps — without asking you to defend a number nobody can verify.
From category map to content plan.
Category prompt map
The full landscape of questions in your space, organized into clusters you can own topic by topic.
Intent classification
Comparison, pricing, migration, integration, recommendation — matched to the funnel stage each answer serves.
Uncited-prompt detection
The overlap that matters: discovered prompts where answers cite competitors and skip you.
Reverse citation lookup
Point at any URL — yours or a rival's — and see which prompts cause engines to cite it.
Co-citation mapping
Which brands appear next to you inside the same answers, by topic and engine.
Watchlists & alerts
Follow a cluster and get notified when its citation pattern or growth signal shifts.
Prompt Discovery FAQ
How is this different from keyword research?
Keywords are two-to-four word fragments typed into a search box. AI prompts are full questions with context and follow-ups, and the engine returns one synthesized answer instead of ten links. Prompt Discovery is built for that shape: full-question clustering, intent classification, and citation-aware ranking.
Where do discovered prompts come from?
Public, observable sources: community and Q&A surfaces, autocomplete and related-question patterns, plus structured expansion of your brand and topic configuration. Every source category is documented — nothing is conjured.
Can I bring my own prompt list?
Yes. Upload prompts in bulk, tag them, and track them alongside discovered ones. Many teams seed with their sales-call questions — the things prospects actually ask.
Does discovery connect to the rest of the platform?
Directly. Discovered prompts promote into daily measurement, gaps flow into Playbooks for drafted fixes, and Compass watches clusters for movement worth acting on.
Map the questions that decide your category.
Self-serve. Transparent pricing. No sales call required.