One topic in. A 90 day
publishing plan out.

Almost anything you would say out loud as a topic the brand cares about. "Remote team management software" works. "Freelance tax in the United Kingdom" works. "Indoor plants for low light apartments" works. The planner handles broad topics by drilling into the specific clusters within them, and narrow topics by mapping adjacent clusters that share the same audience. The only topics that struggle are ones with genuinely zero demand, which is itself a useful answer.

From the places people are actually searching right now. The Google side draws on the signals Google surfaces the related searches, the people also ask questions, the autocomplete patterns, the question shapes in featured snippets. The AI side draws on the questions asked across ChatGPT, Claude, Perplexity and Gemini through licensed signal sources and observed prompt patterns. The result is a question pool reflecting real demand from both halves of search, not synthetic keyword lists.

By grouping every mined question with others that share the same intent. "Should I use Notion or Linear" sits in a comparison cluster. "How do I migrate from one to the other" sits in a how to cluster. "What is the best tool for a small team" sits in a best of cluster. The grouping is by what the searcher actually wants, not surface keyword overlap, which makes clusters feel like article briefs rather than tag soup.

Opportunity gap is the difference between how often a question is asked and how well existing answers cover it. A question searched ten thousand times a month that fifty competitors answer thoroughly has a small gap: demand is real but supply is saturated. One searched three hundred times that nobody covers has a large gap. Ranko also weights how citable an answer is in AI engines and how it connects to commercial intent.

By finding the unsaturated clusters inside them rather than recommending saturated ones. A broad topic like "project management software" is brutally competitive at the head and obvious long tail, but the planner drills into specific intent clusters where competition has not caught up: edge cases, industry needs, comparisons between newer tools. The plan focuses the team where their work can actually rank and earn citations.

The plan flows directly into the rest of the Ranko platform. Each cluster becomes a brief that Content Forge turns into a published article in the team's brand voice, with schema injected automatically. Audit Forge keeps the work healthy as the site evolves, and Analytics Forge tracks which pages get cited by which AI engine. The plan is the start of the engine, so the team goes from topic to published piece without handoffs.