How it works
Paste a list of questions, one per line. The finder scores each question across six opportunity signals - tail length, question shape, recency, entity anchors, specificity and problem language - and ranks the list by total opportunity score. Higher scores mean less competition and more citation upside.
Why under-answered questions win
- No anchor tenant. When no dominant source exists for a query, AI assistants pick the cleanest structured answer they can find.
- Long-tail = low ceiling, high floor. Individual volume is small, but citation capture on long-tail clusters scales quickly because competition is effectively zero.
- Recency signals decay fast. Questions that mention the current year or "new" reset the competition clock every 12 months.
Ship it
- Import any existing keyword list or support ticket export.
- Sort by score, take the top 10 and draft one canonical answer block per question.
- Generate the answer shape with the FAQ Generator and validate the intent match with the Query Intent Classifier.
- Strategy reading: long-tail keywords for AI search.