Trakkr measures your brand’s performance across AI models using two key metrics: Visibility Score and Presence Score. This guide explains how these scores work, how we track your brand, and what your competitive landscape means.

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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.

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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

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Visibility Score Examples

Score 90-100: Exceptional performance
  • Consistently ranked #1-2 across most AI models
  • Strong brand recognition in your industry
Score 70-89: Strong performance
  • Usually in top 3-5 positions when mentioned
  • Good brand awareness with room for improvement
Score 50-69: Moderate performance
  • Mixed rankings, often in positions 5-8
  • Indicates opportunities for optimization
Score 0-49: Needs improvement
  • 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.

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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.

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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%

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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
60-79%: Good presence
  • Regularly mentioned but some gaps in coverage
  • Solid brand recognition with growth opportunities
40-59%: Moderate presence
  • Inconsistent mentions across different queries
  • Brand awareness varies by context
0-39%: Limited presence
  • Rarely mentioned by AI models
  • Indicates low brand awareness or need for different prompts

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How AI Brand Tracking Works

Understanding how we collect and analyze data helps interpret your scores:

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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

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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

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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
Automatic Competitor Discovery
  • 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

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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

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Understanding Your Competitive Landscape

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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
Competitor Rankings
  • 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

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Market Position Insights

Dominant Position: High visibility + High presence
  • You’re a market leader in AI conversations
  • Consistently mentioned and highly ranked
Niche Leader: High visibility + Lower presence
  • Strong position in specific contexts
  • Opportunity to expand into broader industry conversations
Emerging Player: Lower visibility + Higher presence
  • Frequently mentioned but not prominently positioned
  • Focus on improving ranking and brand strength
Specialist: Variable scores across different prompts
  • Strong in some areas, weak in others
  • Tailor strategy to strengthen weak areas

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Factors That Influence Your Scores

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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

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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

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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