Keyword Performance Metrics
Understanding the metrics we track for keyword performance
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What metrics do you track for keyword performance?
We track essential keyword performance metrics to give you clear visibility into how your brand performs across AI search engines. Our metrics focus on the data that matters most for understanding your AI web search performance.
Keyword Ranking Positions:
We track keyword ranking positions across your niche, showing you how your brand appears in AI responses for relevant discussion topics and queries within your industry vertical.
Niche-Focused Rankings
Track your position within your specific niche rather than generic keyword rankings, providing more relevant insights for your AI monitoring and competitive positioning.
Query Performance Metrics:
We measure how your brand performs across different types of queries, particularly discussion-type queries that align with how people actually interact with AI search engines.
Query Types:
- • Discussion-type query performance
- • Comparison query results
- • Industry-specific question responses
- • Brand mention contexts
Performance Indicators:
- • Mention frequency per query type
- • Response positioning
- • Context quality assessment
- • Competitive comparison
References and Reference Data:
We track both direct references to your brand and the quality of those references, including historical data to show you how your reference patterns change over time.
Reference Tracking
Monitor how often your brand is referenced in AI responses, the context of those references, and the quality of the mentions across different AI platforms.
Historical Reference Data
Track reference patterns over time to understand trends in how AI systems mention your brand, helping you identify what content strategies are working.
Link Attractions and Traction:
We measure link attractions to your brand and references, tracking both current link traction and historical data about link performance across AI platforms.
Link Attractions:
- • Direct link references in AI responses
- • Source attribution patterns
- • Link context analysis
- • Reference quality scoring
Historical Link Data:
- • Link traction trends over time
- • Platform-specific link performance
- • Seasonal link pattern analysis
- • Competitive link comparison
Overall AI SEO Score:
We provide an overall AI SEO score that measures your content's optimization level for AI search engines. This score reflects how well your content is aligned for getting quality references from AI systems.
Understanding AI SEO:
Even if you get high ranks in traditional search, to get qualified references from AI systems, you need to have content aligned specifically for AI understanding. That's why we call it AI SEO - it's about optimizing for AI reference quality, not just rankings.
- • Content alignment for AI understanding
- • Reference quality optimization level
- • AI-specific content scoring
- • Improvement recommendations
Platform Coverage:
All metrics are tracked across ChatGPT, Claude, DeepSeek, Gemini, Grok, and Perplexity, giving you comprehensive visibility into your AI web search performance across major platforms.
Cross-Platform Metrics
Consistent metric tracking across all major AI search engines.
Historical Tracking
Time-based data to understand performance trends and patterns.
Actionable Insights
Metrics designed to provide clear direction for improvement.
Core Metrics Summary:
- • Keyword Ranking Positions: Niche-specific ranking performance across AI platforms
- • Query Performance: How your brand performs across different discussion-type queries
- • References & Historical Data: Reference tracking with historical pattern analysis
- • Link Attractions & Traction: Link performance metrics with historical trend data
- • Overall AI SEO Score: Content optimization level for AI reference quality
Focused Metrics: Our keyword performance metrics are designed to give you the essential data you need to understand and improve your AI web search performance without overwhelming complexity.