Cited maps a set of 40 to 80 high-intent questions your ideal customers actually ask AI, the kind someone types when they are close to choosing. You review and confirm them, and they become the prompts your dashboard tracks and the content targets. You stay in control of the final list.
Starting from buyer intent
The goal is not generic keywords. It is the real questions a buyer asks an AI tool when they are deciding, like "best tool for [use case]" or "alternatives to [product]." Those high-intent prompts are where being the recommended answer actually wins business.
Cited maps a set of these for your space as part of the initial audit, scoring how every AI engine answers them today and which brands get named instead of you.
You confirm the list
You know your buyers better than any tool, so the prompt list is yours to shape. You review the suggested questions, add the ones that matter most, and drop any that do not fit your market.
That confirmed list becomes two things at once: what your dashboard tracks over time, and what the published content is built to win. This is prompt tracking: running the same set of questions across the engines on a schedule, so you can see your visibility change. Getting the list right early focuses the whole effort on the questions that matter to you.
How many prompts you can track depends on your plan. Current limits per plan are on the Cited pricing page.
Why this matters
Tracking the wrong questions makes the dashboard look busy but tells you little. Tracking the questions your actual buyers ask means your share of voice reflects real commercial ground. The quality of the prompt list shapes the quality of everything that follows.
Where to go next
For the full process, read how Cited works. For setup, see getting started with Cited.
