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How We Calculate AI Visibility Scores

Heres exactly how we measure, score, and rank each brand across ChatGPT, Perplexity, Gemini, and other AI tools.

By PingAura Data Team · Updated January 2026

In short

We test how AI assistants mention brands by asking them questions across ten industries, then score each brand from 0-100 based on how often it appears, how prominently, and from quality sources. The scores update daily so you can track changes over time.

How is each score determined?

Every brand gets a 0-100 composite score built from four weighted factors: how often it's mentioned (40%), where it appears in responses (25%), the quality of citations (20%), and how many different query types it appears in (15%). Data is collected daily from ChatGPT, Perplexity, Gemini, AI Overviews, and Copilot using 100+ sector-specific prompts per industry.

1. Data Collection

We ask each AI tool the same set of questions and track which brands get mentioned. The questions cover different ways people actually search for products and services in each industry.

AI Platforms Monitored

  • ChatGPT (GPT-4 and GPT-4o)
  • Perplexity AI
  • Google Gemini
  • Google AI Overviews (SGE)
  • Microsoft Copilot

For each industry, we use 100+ unique prompts covering different user intents: general recommendations, brand comparisons, feature-specific queries, best-of lists, and problem-solution queries.

2. Scoring Components

The AI Visibility Score is a composite metric derived from four key components, each measuring a different aspect of brand presence in AI responses.

40%

Mention Frequency

How often the brand is mentioned across all monitored queries. Brands appearing in more AI responses score higher. We normalize for total response length to ensure fair comparison.

25%

Position & Prominence

Where in the response the brand appears matters. Brands mentioned first, featured as top recommendations, or highlighted as examples receive higher scores than those mentioned in passing.

20%

Citation Quality

When AI platforms cite sources, we analyze whether the brand is cited from authoritative sources. Citations from industry publications, official sources, and trusted review sites contribute more.

15%

Query Coverage

We measure across how many different query types the brand appears. Brands visible across diverse queries (general, comparative, feature-specific) score higher than those appearing only for specific queries.

3. Score Calculation

AI Visibility Score Formula

Score = (MF × 0.40) + (PP × 0.25) + (CQ × 0.20) + (QC × 0.15)
MF

Mention Frequency

PP

Position & Prominence

CQ

Citation Quality

QC

Query Coverage

Each component is normalized to a 0-100 scale within the industry before the weighted average is calculated. The final score is rounded to the nearest integer.

4. Share of Voice

Share of Voice (SoV) represents the percentage of total AI mentions a brand receives compared to all competitors in its industry. It's calculated as:

SoV = (Brand Mentions / Total Industry Mentions) × 100

A brand with 12.5% Share of Voice in the banking industry means that out of all bank mentions across all AI queries, this brand accounts for 12.5% of them. Higher SoV indicates stronger competitive positioning.

5. Data Quality & Validation

Cross-Platform Validation

We verify brand mentions across multiple AI platforms to ensure consistency and filter out platform-specific anomalies.

Hallucination Filtering

Our systems detect and filter AI hallucinations by cross-referencing with verified brand databases and industry records.

Statistical Normalization

Scores are normalized using statistical methods to ensure fair comparison across different industry sizes and query volumes.

Regular Audits

We conduct weekly audits of our data collection and scoring systems to maintain accuracy and reliability.

6. Update Frequency

The AI Visibility Index is updated daily to reflect the latest AI response patterns. This allows brands to:

  • Track visibility trends over time
  • Identify sudden changes in AI visibility
  • Measure impact of visibility optimization efforts
  • Monitor competitive movements in real-time

Glossary of Terms

AI Visibility Score
A 0-100 composite score measuring how prominently a brand appears in AI-generated answers.
Share of Voice (SoV)
The percentage of total industry AI mentions that a brand receives.
Citation Rate
How frequently AI models cite a brand when answering queries in its industry.
Prompt Dominance
The breadth of query types for which a brand appears in AI responses.
AEO (Answer Engine Optimization)
The practice of optimizing content and online presence to improve visibility in AI-generated answers.

Frequently Asked Questions

We systematically query ChatGPT, Perplexity, Gemini, and AI Overviews with hundreds of industry-relevant prompts. These cover different user intents like brand comparisons, product recommendations, and feature-specific queries. We parse the responses to extract mentions, citations, and direct recommendations.

We cross-reference mentions across several AI tools, filter out obvious hallucinations, and use statistical methods to catch anomalies. Data is regularly audited against known brand facts.

The Index is updated daily. We monitor AI responses continuously so brands can spot trends, catch sudden shifts, and measure the impact of their optimization work.

Brands that score well typically have: (1) Strong online presence with authoritative content, (2) Frequent mentions and citations across trusted sources, (3) Consistent brand info across the web, (4) Good coverage in industry publications and reviews, (5) Positive sentiment in customer feedback.

The AI Visibility Score reflects genuine brand presence across the web. While brands can improve their scores through legitimate means (quality content, building citations, improving online presence), artificial manipulation attempts are unlikely to be effective as AI models draw from diverse, authoritative sources.

Scores are calculated relative to competitors within each industry. This means a bank with a score of 80 is compared against other banks, not against mobile phone brands. We use industry-specific query sets to ensure relevant comparisons.

See the Methodology in Action

Explore the AI Visibility rankings for your industry and see how our methodology translates into actionable insights.