AI Visibility Score

AI Visibility Score is a composite metric that quantifies how present and prominent your brand is across AI-generated responses. It aggregates citation frequency, recommendation context, query coverage, and engine breadth into a single number — replacing legacy impressions as the north-star metric for Machine Relations.

Why AI Visibility Score Matters

Impressions count eyeballs. AI Visibility Score counts influence. A brand with 10 million impressions but zero AI citations is invisible to the fastest-growing discovery channel. The score captures what actually drives pipeline in the AI era: whether machines recommend you when buyers ask.

Brands with an AI Visibility Score in the top quartile of their category see 3.2x higher conversion from AI-referred traffic compared to brands in the bottom half. The gap is widening as AI-mediated discovery captures more buyer journeys.

What the Score Measures

AI Visibility Score is calculated from four weighted components:

• AI Mention Rate (30%) — Percentage of relevant queries where your brand appears
• Recommendation Rate (30%) — How often AI engines actively recommend (not just mention) your brand
• Citation Share (25%) — Your share of total category citations vs. competitors
• Engine breadth (15%) — Consistency across ChatGPT, Perplexity, Gemini, and AI Overviews

How to Improve Your Score

The score responds to earned authority, not technical tricks. Tier-1 media placements move the needle because AI engines source 82-89% of their citations from third-party publications. Each high-authority placement compounds across engines and queries.

AuthorityTech's AI Visibility Audit calculates your score across all major AI platforms and benchmarks it against category competitors. Track score movement over time with Citation Velocity to verify that your GEO strategy is working.