See what people are
actually asking AI

Ranko runs ongoing scans against ChatGPT, Claude, Perplexity, and Gemini for every topic on your watchlist, capturing the questions real people ask through licensed signal sources, observed prompt patterns, and the patterns each engine exposes. The scans run continuously in the background, with no job to start. New questions arrive as they are mined, and existing ones update as the language shifts.

A real phrasing is the exact way somebody actually asked: conversational tone, hesitations, awkward turns and all. "What is the best CRM for a five person sales team that already uses Slack and HubSpot" is a real phrasing. "Best CRM small team" is the synthetic keyword version. Ranko captures the first, because content matching conversational phrasing word for word is what the AI cites back. The keyword version is what competitors still optimise for.

You decide which topics are hot when you set them up, and Ranko applies the cadence. Hot topics refresh daily: active launches, current campaigns, anything in the news cycle or tied to a competitor's recent move. Evergreen topics refresh weekly: the long tail, foundational content, slowly drifting how to questions. You can move topics between hot and evergreen anytime, and the cadence shifts immediately. Most teams find ten to twenty percent warrant the daily cadence.

Mark a topic hot when something is changing around it that the team must react to quickly. The category just had a major new entrant. A regulation affecting your customers comes into force next month. A news story is reshaping how people talk about your space. A competitor announced a feature that changes the comparison. When the news cycle settles and questions stabilise, demote the topic back to evergreen and the weekly cadence resumes automatically.

New questions are flagged in the dashboard so the team spots them immediately. A question that did not exist in the last refresh gets a "new" indicator, with the engine it was first spotted on and the rough date it surfaced. This is how teams catch emerging patterns early, the question nobody is answering yet because nobody noticed it. Content that answers a newly emerging question while it is still emerging tends to become the cited source as it grows.

Topic Planner is a moment. AI Question Mining is a stream. Topic Planner takes one topic and gives you a ranked ninety day publishing plan in about a minute, for when you commit to a quarter of content. AI Question Mining runs continuously across all your topics, refreshing daily or weekly, so the team sees what the engines are asked. The Planner builds the roadmap; the Mining feeds it fresh signal, Content Forge real phrasings, and Analytics Forge the question set to track.