Understanding Scores

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

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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

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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:

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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

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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