Platform
Results Dashboard — Track AI Visibility in Real Time
Your RevScore IQ dashboard provides a complete view of AI visibility across all six scoring dimensions, with historical tracking, competitor benchmarks, and actionable insights.
Dashboard Features
What the Dashboard Tracks
Every metric that determines whether AI engines cite, recommend, or ignore your business.
Overall RevScore IQ
Composite score displayed with historical trend line and color-coded performance bands. Score ranges: Critical (0-20), Below Average (21-40), Average (41-60), Strong (61-80), Excellent (81-100). Each data point includes contextual annotations explaining what changed.
Trinity Pillar Breakdown
GEO, AEO, and EVS shown individually with their respective weights. See exactly which pillar drives your score up and which holds it back. Expand each pillar to view its two constituent dimensions.
Dimension Drill-Downs
Six dimensions with detailed diagnostics: not just the score, but the specific signals contributing to it and targeted recommendations for improvement. A score of 45 becomes actionable when you see exactly which pages lack FAQ schema and which need content depth.
Competitor Comparison
Side-by-side benchmarking against up to five direct competitors across all dimensions. See where you lead, where you trail, and which dimensions offer the most competitive leverage. Movement alerts flag competitor changes within 24 hours.
Granular Metrics
K1 Through K7 Individual Scores
Seven metrics measuring exactly how AI engines perceive your business.
K1: Entity Recognition
Does the AI engine know your business exists? Measured by probing with queries that should trigger awareness of your name, location, or services.
K2: Citation Frequency
How often does the AI engine mention you across a range of relevant queries? A business can be recognized (K1) without being frequently cited (K2).
K3: Information Accuracy
Is the information AI engines present about you correct? Address, phone, services, hours. Inaccurate citations can be worse than no citations.
K4: Recommendation Strength
Are you mentioned in a list or specifically recommended as the best choice? K4 captures the difference between passive mention and active endorsement.
K5: Competitive Position
Where do you rank relative to competitors in AI responses? First, third, or last matters. Requires active competitor tracking configured during setup.
K6: Content Depth
Does the AI engine reference your specific expertise and procedures, or only surface-level descriptions? Directly reflects published content quality and depth.
K7: Cross-Engine Consistency
Are you cited consistently across all four AI engines or only one? Low consistency points to structural gaps in content publishing.
Content Intelligence
Content Performance & Feedback Loop
Universal Feedback Loop
Every published page is tracked individually: word count, schema status, quality gate scores, and K-metric improvements attributable to each page. The UFL monitors which pages get cited most, which FAQ items appear in AI responses, and which content gaps create missed opportunities.
Content Health Scorecard
Traffic-light indicators for each page. Green: high word count, complete schema, active citations. Yellow/Red: thin content, missing schema, declining citation frequency with specific improvement recommendations.
Automation
Alerts, Export & Mobile
Start Tracking Your AI Visibility
Request a RevScore IQ assessment and get access to your personalized Results Dashboard with real-time scoring, competitor benchmarks, and actionable insights.