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Articles on:Understanding Your Data
Explore your scores, metrics, and competitive analytics across all AI models.

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  • Understanding Your Data
  • Getting Started
  • Account & Settings
  • Diversity Score
    The Diversity Score measures how broadly your brand is recognized across different AI platforms. It answers the question: are you visible everywhere, or only on one or two models? Platform Coverage Rankry tests 5 major AI models: ChatGPT, Claude, Gemini, Perplexity, and Grok. Your platform coverage shows how many of these models mention you at all. A coverage of 4/5 (80%) means four models recommend you while one doesn't know you exist. Dependency Risk If 90% of your AI visibility comeFew readers
  • Competitors Analysis
    The Compete tab in Rankry shows how your brand stacks up against competitors in AI recommendations. All competitor data comes from the same blind test prompts — we analyze every response for all tracked brands, not just yours. Competitive Leaderboard The leaderboard is a table showing you and all your tracked competitors side by side across all four metrics: Visibility, Positioning, Sentiment, and Diversity. Each brand also has a composite Rankry Score. You can immediately see who leads oveFew readers
  • Sentiment Score
    The Sentiment Score analyzes what AI actually says about your brand — not just that you're mentioned, but how you're described. It captures the tone, claims, and framing that AI models use when recommending (or warning against) your product. How Sentiment Works For every AI response that mentions your brand, we extract the specific rationale — the text explaining why AI recommends you or what caveats it mentions. Our proprietary algorithm then classifies each claim as positive ("reliable upFew readers
  • Understanding Scores
    Rankry measures your AI visibility through four distinct scores, each capturing a different dimension of how AI models perceive and recommend your brand. These four scores combine into one composite number — the Rankry Score. The Four MetricsFew readers
  • Visibility Score
    The Visibility Score measures how often your brand appears in AI recommendations when users ask buyer-intent questions in your category. It's expressed as a percentage from 0% to 100%. How It's Calculated We send 100 blind test prompts to each AI model. For each response, we check whether your brand is mentioned anywhere in the recommendation list. Visibility is weighted by position — being recommended 1 counts more than being mentioned 8. A score of 72% means you're appearing in roughlyFew readers
  • Positioning Score
    The Positioning Score tracks where your brand ranks within AI recommendations. Being mentioned is good — being mentioned first is much better. A 1 recommendation carries significantly more weight than 5. Key Sub-Metrics Average Position is the main number — for example, 2.7 means that when you are mentioned, you're typically the 2nd or 3rd recommendation. Lower is better. 1 Rate shows the percentage of times you were the top recommendation. If your 1 Rate is 35%, you're the first branFew readers

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