What is AURA Score? A Detailed Explanation of 6 Metrics

1. Visibility Score

Range: 0-100 | Weight: 25%

The visibility score measures how frequently and prominently your brand appears in AI responses. This is AURA's most fundamental metric because if a brand is not visible in AI, the other metrics become meaningless.

How Is It Calculated?

• Mention frequency: How many of the 9 AI models include your brand?
• Ranking position: Where do you appear in industry queries?
• Recommendation rate: Does AI directly recommend you, or just mention you?
• Consistency: Do you appear consistently across different queries?

Practical Example

If your visibility score is 40, it means less than half the AI models mention you. Only 3-4 out of 9 models recognize you. This means a large portion of your potential customers have a low chance of discovering you through AI.

If your visibility score is 80 or above, great! The vast majority of AI models recognize and recommend you. This represents a very strong position in terms of digital visibility.

2. Accuracy Score

Range: 0-100 | Weight: 20%

The accuracy score measures how correct the information AI models provide about your brand is. This metric is especially important because false information (hallucinations) can cause serious damage to your brand.

What Is Evaluated?

• Basic information accuracy: Are founding year, location, and services correct?
• Product/service accuracy: Does AI show you selling products you don't actually offer?
• Cross-model consistency: Do different models provide the same information?
• Hallucination rate: Is there fabricated information from AI?

Practical Example

If your accuracy score is 55, a significant portion of AI models may be providing incorrect information about your brand. For example, one model might say your company founded in 2015 was "founded in 2010." Or it may list a service you never offer. This erodes customer trust.

3. Sentiment Score

Range: -100 to +100 | Weight: 20%

The sentiment score measures whether the tone AI models use when discussing your brand is positive, negative, or neutral. Unlike other metrics, this score can drop to negative values.

Score Ranges

• +60 to +100: Very positive - AI strongly recommends your brand
• +20 to +59: Positive - General perception is good but there is room for improvement
• -19 to +19: Neutral - AI does not express a distinct sentiment about your brand
• -59 to -20: Negative - Some models make unfavorable assessments
• -100 to -60: Very negative - Urgent reputation management needed

Practical Example

If your sentiment score is +25, AI models generally speak positively about your brand but do not make a strong recommendation. There is a big difference between saying "It is a good option" and "I definitely recommend it." Customer reviews, press coverage, and your web content directly affect your sentiment score.

4. Competition Score

Range: 0-100 | Weight: 20%

The competition score measures how strong your position is compared to your competitors in AI models. This metric shows whether you are among the "first brands that come to AI's mind" in your industry.

How Is It Calculated?

• Your place in the Top 5 list: Do you make it into the top 5 in industry queries?
• Competitor comparison: How are you positioned relative to direct competitors?
• Recommendation priority: Does AI recommend you or your competitor first?
• Differentiation perception: What does AI see as setting you apart from competitors?

Practical Example

If your competition score is 70, you appear ahead of some competitors in most AI models, but you are not positioned as the industry leader. You are in the Top 5 list in 5 out of 9 models. This is a good start, but your goal should be to break into the top 3 across all models.

5. Growth Potential Score

Range: 0-100 | Weight: 15%

The growth potential score reflects AI's assessment of your brand's market opportunities and development potential. This metric provides a forward-looking perspective.

What Is Evaluated?

• Market opportunities: Does AI see growth potential in your industry?
• Areas for improvement: In which areas does AI suggest development?
• Trend alignment: Is your brand aligned with current industry trends?
• Digital maturity: Is your online presence at a level that supports growth?

Practical Example

If your growth potential score is 85, AI models believe your brand has strong growth potential. This means your industry is growing, your digital presence is good, and improvement opportunities exist. A low growth potential score indicates that AI sees limited opportunity for your brand.