How is relevance measured and scored?

GEO platforms analyze multiple factors to score relevance (0-100): 1) Contextual fit—does the mention directly address the query intent? 2) Positioning—is your brand a primary recommendation or tangential mention? 3) Detail level—generic list item vs. detailed explanation with use cases? 4) Accuracy—are mentioned features/benefits aligned with the prompt? High scores (80+) indicate the AI considers your brand highly appropriate for that query. Low scores (<40) suggest off-topic or forced mentions.

Why do some prompts generate irrelevant mentions of my brand?

Irrelevant mentions occur when: 1) LLMs overgeneralize from training data (mentioned in tangentially related content), 2) Weak query-brand alignment (your CRM mentioned for 'marketing tools' despite no marketing features), 3) Generic content lacking specificity (LLMs can't determine when you're relevant vs. not). To reduce irrelevant mentions: create targeted content for specific use cases, clearly define your positioning, and use structured data to help LLMs understand your exact category and features.

Should I try to increase total mentions or focus only on high-relevance mentions?

Prioritize high-relevance mentions. 10 highly relevant mentions (score 85+) where you're recommended as the top solution drive more qualified traffic and conversions than 100 low-relevance mentions where you're listed generically. Track relevance-weighted visibility: (mentions × average relevance score). Focus content strategy on prompts where you can achieve 70+ relevance—queries aligned with your actual strengths. Monitoring tools highlight high-relevance opportunities to maximize ROI from GEO efforts.

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Metrics

Relevance

Measure of how pertinent a brand mention or source citation is to a specific prompt or query.

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What is Relevance?

Relevance assesses the contextual appropriateness of a brand mention in an LLM response. A highly relevant mention directly addresses the user's query (e.g., CRM mentioned in response to 'best CRM tools'), while low relevance suggests the brand was mentioned tangentially or inappropriately. Relevance scoring helps distinguish quality mentions from noise and identifies which prompts are most aligned with your brand positioning.

How Qwairy Makes This Actionable

Qwairy analyzes the relevance of your brand mentions in AI responses. Identify which prompts generate the most relevant mentions and focus your optimization efforts accordingly.