Reference docs for every part of Rankry’s AI visibility platform: what each metric measures, the fields behind it, and how to use it. Concise, structured, and factual.
The Visibility Score is Rankry’s headline metric: a single 0 to 100 number that captures how often and how prominently AI engines recommend your brand across your tracked prompts.
Prompt tracking is the foundation of every Rankry metric.
Citation tracking records which sources AI engines cite in their answers and whether your domain is among them.
Source analysis looks beyond a single citation to the pattern of sources AI engines lean on across your whole category.
Competitor tracking records which rival brands AI engines name and recommend in the same answers you compete for, and how often they beat you head-to-head.
Sentiment analysis captures not just whether AI mentions your brand, but how it describes you: warmly, neutrally, or with caution.
The AI Readiness Audit checks the technical foundation that decides whether AI engines can even reach and read your site before any content can help you.
The Action Plan is what turns Rankry from a measurement tool into an execution tool.
Content generation helps you act on the gaps Rankry finds by drafting the AI-visibility content most likely to close them, such as comparison pages, category pages, and answer-first content targeted at the exact prompts where you are losing..
Your semantic core is the tailored set of buyer-intent prompts Rankry tracks for your brand.
Exports and reporting let you take Rankry’s data out of the dashboard and into the places decisions get made: stakeholder updates, client reports, and your own analysis.
Weekly reports give you a recurring summary of what changed in your AI visibility without opening the dashboard: how your score moved, which competitors gained or lost, what shifted in sentiment, and what to act on next..
Every metric in these docs, computed for your brand across five AI engines. First score in 5 minutes.
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