Visibility Score
Your Visibility Score measures how prominently your brand appears when AI models mention you. It ranges from 0-100, with higher scores indicating better positioning.How Visibility is Calculated
1
Position Scoring
Each mention gets points based on ranking position:
- 1st place: 10 points
- 2nd place: 9 points
- 3rd place: 8 points
- 10th place: 1 point
- Not mentioned: 0 points
2
Aggregate Across Models
We sum points from all AI models (OpenAI, Anthropic, Gemini, Grok, DeepSeek, Meta) for each prompt
3
Calculate Percentage
Your total points ÷ maximum possible points × 100 = raw visibility percentage
4
Apply Scaling
We apply a square root scaling to make score differences more meaningful and prevent artificial inflation
Visibility Score Examples
Score 90-100: Exceptional performance- Consistently ranked #1-2 across most AI models
- Strong brand recognition in your industry
- Usually in top 3-5 positions when mentioned
- Good brand awareness with room for improvement
- Mixed rankings, often in positions 5-8
- Indicates opportunities for optimization
- Low rankings when mentioned, or infrequent mentions
- Consider prompt strategy and brand positioning
A visibility score of 88.1 (like Nike’s example) means when AI models mention Nike, they typically rank it very highly - usually in the top 2-3 positions.
Presence Score
Your Presence Score shows what percentage of AI queries mention your brand at all. This represents your “share of voice” in AI conversations about your industry.How Presence is Calculated
Presence Score = (Number of AI responses mentioning your brand ÷ Total AI responses) × 100 Example: If you run 5 prompts across 6 AI models (30 total queries) and your brand appears in 25 responses:- Presence Score = (25 ÷ 30) × 100 = 83.3%
Presence Score Interpretation
80-100%: Dominant presence- AI models consistently think of your brand for industry queries
- Strong market awareness and top-of-mind positioning
- Regularly mentioned but some gaps in coverage
- Solid brand recognition with growth opportunities
- Inconsistent mentions across different queries
- Brand awareness varies by context
- Rarely mentioned by AI models
- Indicates low brand awareness or need for different prompts
How AI Brand Tracking Works
Understanding how we collect and analyze data helps interpret your scores:1. Multi-Model Querying
We track your brand across 6 leading AI platforms:OpenAI
GPT-4 models powering ChatGPT - most widely used AI platform
Anthropic
Claude models - popular in enterprise and research
Google Gemini
Integrated across Google services and products
xAI Grok
Real-time information access, popular on X/Twitter
DeepSeek
Advanced reasoning capabilities for complex queries
Meta Llama
Open-source models widely adopted across platforms
2. Daily Report Generation
- Automated daily reports query all AI models with your prompts
- Each prompt is sent to all 6 AI models independently
- Results are analyzed within 30 seconds to 2 minutes
- Scores are calculated and historical trends updated
3. Name Mapping & Competitor Detection
Smart Name Recognition- AI models might mention your brand using variations (“Apple Inc.” vs “Apple”)
- We use AI to map different mentions to your canonical brand name
- Handles typos, abbreviations, and alternate names
- Brands mentioned alongside yours are identified as potential competitors
- Must appear in 2+ reports to be added to your competitor list
- Helps you discover emerging competitors you might not know about
4. Scoring Methodology
Why We Use Scaling- Raw percentage scores can be misleading (small differences appear huge)
- Square root scaling makes meaningful differences more apparent
- Prevents artificial score inflation while maintaining accuracy
- Scores are capped at 100 to maintain the 0-100 scale
Understanding Your Competitive Landscape
Competitor Analysis
The Competitors section shows other brands AI models mention when discussing your industry: Competitor Presence Scores- Shows how often each competitor appears compared to you
- Higher percentages indicate stronger AI “share of voice”
- Helps identify market leaders and emerging threats
- While we don’t show competitor visibility scores, you can see their presence
- Use this to understand the competitive landscape
- Identify brands that might not be on your radar
Market Position Insights
Dominant Position: High visibility + High presence- You’re a market leader in AI conversations
- Consistently mentioned and highly ranked
- Strong position in specific contexts
- Opportunity to expand into broader industry conversations
- Frequently mentioned but not prominently positioned
- Focus on improving ranking and brand strength
- Strong in some areas, weak in others
- Tailor strategy to strengthen weak areas
Factors That Influence Your Scores
Content & Online Presence
- Quality content that establishes authority and expertise
- Industry recognition through awards, press, partnerships
- SEO optimization helps AI models understand your positioning
- Active social media and thought leadership
Brand Recognition
- Market maturity - established brands typically score higher
- Industry category - some sectors have more AI awareness
- Geographic presence - global brands often outperform local ones
- Marketing investment in brand awareness campaigns
Prompt Strategy
- Relevant prompts that match your target market
- Balanced specificity - not too broad, not too narrow
- Multiple contexts to capture different use cases
- Regular updates to reflect market changes
Scores naturally fluctuate as AI models update their training data and as the competitive landscape evolves. Focus on long-term trends rather than daily variations.
Create Better Prompts
Learn how to write prompts that better capture your brand’s market position
Reading Your Reports
Understand how to interpret your dashboard and track performance over time