Everything ends in something you can ship: a fix prompt, a page draft, a post.
Twelve systems that take you from invisible to recommended.
Named, recommended, brand accuracy and AI readiness for every buyer question, per engine, per market and per region. Never one global number that hides where you are invisible.
Find the questions that matter, see who wins them today, and act before your competitors do.
Discover the buyer questions people ask in your category, ranked by intent, based on your keywords, brand and market. Each tracked question carries intent, topic, demand and status, monitored across every engine.
CiteAgentic mines AI answers and the communities that feed them to surface buyer segments with real demand. Every segment is scored on opportunity, search-derived demand, buyer intent, your AI visibility and evidence confidence.
Every recommendation is a diagnosed journey: what to create or optimise, why it blocks the questions you are losing, and honest three-state progress from page work to third-party validation to the retested AI outcome.
Every domain and page cited in AI answers, classified by type, with mention, recommendation and citation tracked apart over time. See where competitors are covered and you are not.
CiteAgentic surfaces the Reddit, Quora and LinkedIn discussions cited in AI answers to your tracked questions, ranks them by value, drafts community-appropriate replies and ties every reply to later AI mentions.
Full gap analysis against every tracked competitor: the prompt topics they win, the content they publish that you have not, and the sources that vouch for them. Each gap links straight to an action.
Topics, buyer questions, pages, directories, review sites and competitors on one interactive graph. Spot the broken link between a losing question and the missing proof, then fix it right from the map.
Turn AI search data into simple, shareable proof for your team and clients.