Understanding Your AI Visibility Score

Your AI visibility score is a single metric that captures how well your brand appears across AI platforms. Here’s what it means and how to use it.

What is the Visibility Score?

The visibility score is a 0-100 metric that quantifies your brand’s presence in AI responses. It combines multiple factors:

• Presence: Does AI mention your brand at all?
• Prominence: How prominently are you featured?
• Ranking: Where do you appear relative to competitors?
• Recommendation: Does AI actively recommend you?

A score of 100 means AI consistently mentions, features, and recommends your brand. A score of 0 means complete invisibility.

Score Components Explained

Presence (0-25 points)

Measures whether your brand exists in AI’s awareness:

• 0-5: Rarely or never mentioned
• 6-15: Occasionally mentioned
• 16-25: Consistently recognized

Prominence (0-25 points)

Measures the quality of mentions:

• 0-5: Brief, passing references
• 6-15: Substantive mentions with context
• 16-25: Featured discussion with details

Ranking (0-25 points)

Measures competitive position:

• 0-5: Mentioned last or as afterthought
• 6-15: Mentioned alongside competitors
• 16-25: Mentioned first or as top choice

Recommendation (0-25 points)

Measures AI endorsement:

• 0-5: AI doesn’t recommend you
• 6-15: AI includes you in options
• 16-25: AI actively recommends you

Interpreting Your Score

0-20: Critical Visibility Gap

Your brand is essentially invisible to AI. Users asking about your category won’t find you. This requires urgent attention.

Priority actions:

• Audit why you’re missing
• Build basic online presence
• Create foundational content

21-40: Building Awareness

AI knows you exist but doesn’t feature you prominently. You appear occasionally but not consistently.

Priority actions:

• Increase content production
• Build third-party mentions
• Improve content structure

41-60: Moderate Visibility

You appear regularly but face strong competition. AI includes you in discussions but doesn’t prefer you.

Priority actions:

• Differentiate positioning
• Build authoritative content
• Increase citation sources

61-80: Strong Visibility

AI regularly features and often recommends you. You’re competitive in most contexts.

Priority actions:

• Maintain consistency
• Protect against competitive threats
• Expand into adjacent topics

81-100: Market Leader

AI prominently features and actively recommends you. You’re the go-to answer in your category.

Priority actions:

• Defend position
• Monitor for accuracy
• Expand leadership

Score Changes Over Time

Why Scores Fluctuate

• AI models update with new training data
• Competitor activity changes relative position
• Your content updates affect citation
• Query patterns shift seasonally

Tracking Trends

A single score snapshot is less useful than trend data. Track:

• Week-over-week changes
• Month-over-month trajectory
• Competitive score comparisons

Responding to Drops

If your score drops significantly:

1. Check if AI model updates occurred
2. Review competitor changes
3. Audit your recent content
4. Verify technical accessibility

Using the Score Strategically

For Marketing Teams

• Set visibility score targets
• Tie campaigns to score improvement
• Report on AI channel health

For Executives

• Benchmark against competitors
• Track market position trends
• Justify AI optimization investment

For Product Teams

• Understand how AI describes your product
• Identify positioning opportunities
• Monitor feature perception

Improving Your Score

Quick Wins (1-2 weeks)

• Fix technical accessibility issues
• Update outdated content
• Correct factual errors in AI responses

Medium-Term (1-3 months)

• Publish comprehensive content
• Build third-party presence
• Create citable resources

Long-Term (3-6 months)

• Establish category authority
• Generate consistent coverage
• Build compounding visibility

Score Limitations

The visibility score is directionally useful but has limits:

• Query dependent: Scores vary by prompt context
• Platform variation: Different AI models may score differently
• Point in time: Represents current state, not permanent position
• Relative metric: Most meaningful compared to competitors

Use the score as a guide, not an absolute truth.

Taking Action

1. Know your number - Get your baseline visibility score
2. Understand the breakdown - Which components are weakest?
3. Set targets - Define what score you’re working toward
4. Execute systematically - Build visibility through consistent effort
5. Monitor progress - Track score changes over time

Your visibility score is the starting point for strategic AI optimization. It tells you where you stand—what you do with that information determines where you’ll end up.