Semantic Metrics
Measure what AI systems actually evaluate—not vanity metrics. Six metrics that predict AI retrievability, not just human engagement.
The Problem
Traditional content metrics—word count, keyword density, readability scores—were designed for human readers and search engine crawlers. They don't measure what AI systems evaluate when deciding what to cite.
AI retrieval depends on semantic structure: entity relationships, topical coherence, knowledge density. These patterns are invisible to traditional analytics.
You need metrics that predict AI behavior, not just track human clicks.
The Solution
DecodeIQ's semantic metrics measure what AI systems actually evaluate. Each metric is derived from analysis of how LLMs process and retrieve content—not guesswork.
You get actionable targets for each metric. Your briefs and drafts are scored automatically. You know exactly what to improve to increase retrievability.
Production-Ready Metrics
Fully validated and ready for production use
Semantic Density
Entity concentration per 1,000 words. Measures relationship depth and concept specificity.
Contextual Coherence
Logical flow consistency score. Evaluates how well concepts chain together across segments.
Retrieval Confidence
Likelihood of content being surfaced in AI-driven search results based on semantic proximity.
Validation Phase Metrics
Advanced metrics being validated with Design Partners (Jan-Apr 2026)
DecodeScore
Topic momentum scoring. Quantifies competitive opportunity in semantic space.
Friction Index
Competitor vulnerability quantification based on sentiment analysis.
Brand Voice Consistency
Automated brand alignment validation for tone and messaging.
Quick Reference
All metrics at a glance
| Metric | Range | Target | Status |
|---|---|---|---|
| Semantic Density | 0–10% | 4–6% | Production-Ready |
| Contextual Coherence | 0–100 | 80+ | Production-Ready |
| Retrieval Confidence | 0–100 | 60+ | Production-Ready |
| DecodeScore | 0-100 | Topic-dependent | In Validation |
| Friction Index | 0-100 | Higher = more opportunity | In Validation |
| Brand Voice Consistency | 0-100% | 80%+ | In Validation |
How Metrics Work Together
These metrics aren't isolated scores—they form a system. High Semantic Density without Contextual Coherence produces dense but disjointed content. Perfect Coherence with low Density produces on-topic but shallow content.
DecodeIQ optimizes across all metrics simultaneously. Your briefs and drafts are balanced for maximum AI retrievability, not just hitting individual targets.
Explore the Knowledge Base
Deep documentation on each metric, including algorithms, interpretation, and optimization strategies.
View all Knowledge Base articles