Understanding Your Score
How the AI Visibility Score is calculated and what each category means.
Last updated: January 20, 2026
The AI Visibility Score is a 0-100 rating that measures how well your content is optimized for discovery and citation by AI search engines. Higher scores indicate better optimization.
Score Categories
Your overall score is calculated from four weighted categories that represent the key factors AI systems consider when selecting sources to cite.
Content Structure (30%)
Evaluates how well your content is organized for AI parsing:
- Heading hierarchy - Proper use of H1, H2, H3 tags
- Answer positioning - Direct answers near the top of content
- List formatting - Use of bullet points and numbered lists
- Paragraph length - Digestible paragraph sizes
- Content length - Comprehensive but focused coverage
Entity & Topic Signals (25%)
Measures the presence of citable facts and clear definitions:
- Named entities - People, organizations, products mentioned
- Statistics - Specific numbers and data points
- Definitions - Clear explanations of key terms
- Topic coverage - Comprehensive treatment of the subject
Authority Signals (25%)
Checks for trust and credibility indicators:
- Author attribution - Named author with credentials
- Publication date - Clear publishing and update dates
- Citations - References to authoritative sources
- Schema markup - Structured data implementation
Technical Readiness (20%)
Analyzes technical factors affecting AI discovery:
- AI crawler access - robots.txt allows GPTBot, ClaudeBot, etc.
- Page speed - Fast loading times
- Semantic HTML - Proper use of HTML5 elements
- Mobile optimization - Responsive design
Score Ranges
90-100: Excellent
Your content is highly optimized for AI citation. Focus on maintaining quality and tracking results.
70-89: Good
Strong foundation with room for improvement. Address high-priority recommendations.
50-69: Needs Work
Several optimization opportunities. Focus on content structure and entity signals.
Below 50: Poor
Significant optimization needed. Start with technical readiness and basic structure.
Focus on high-impact changes first. Our recommendations are prioritized by potential impact. Start with "Critical" and "High" priority items before addressing "Medium" and "Low" priorities.