AI Visibility Score
What is AI Visibility Score?
An AI visibility score measures how often your brand shows up when someone asks an AI assistant a buying question. It rolls up mention frequency, position in the response, and sentiment into one number across multiple models.
Why this metric exists
SEO metrics tell you where you rank on Google. An AI visibility score tells you what happens when buyers skip Google entirely and ask AI directly. Brands that score low here are invisible to a growing share of buying decisions, regardless of how well their traditional marketing performs.
The numbers back this up:
- ChatGPT has 800M+ weekly active users
- Perplexity processes millions of search queries daily
- Google AI Overviews appear on a growing percentage of search results
Without measurement here, you have no idea what a fast-growing segment of buyers is hearing about you.
How scoring works
Multiple AI models get queried with prompts that mirror real buyer questions in your category. Each response is analyzed for:
- Brand mentions: does the model name your brand?
- Position: are you mentioned first, in the middle, or as an afterthought?
- Sentiment: is the mention positive, neutral, or cautionary?
- Citation sources: what domains does the model reference?
The results roll up into a composite score that tracks over time. Prompt Metrics runs these scans across all major AI models automatically.
What moves the score
Earning citations from sources AI models trust, creating content that directly answers category questions, making sure your site is crawlable by AI bots, and getting listed on review platforms and industry publications that AI models reference.
The most impactful levers:
- Publish on cited domains: guest posts, PR placements, industry publications
- Create authoritative content: data-rich, expert-attributed, well-structured
- Use structured data: JSON-LD markup AI models can parse
- Build review presence: G2, Capterra, and similar platforms AI models trust
No single lever is enough on its own.
Frequently Asked Questions
Each AI model gets queried with category-relevant prompts. The results are scored for mention frequency, position in the response, and sentiment, then normalized to a 0-100 scale. The final score is a weighted composite across all models tested. Prompt Metrics automates this across ChatGPT, Claude, Gemini, and Perplexity.
Weekly. AI model outputs shift as training data updates, and a weekly cadence gives you real trends without noise. More frequent checks rarely add useful signal. Set up automated weekly scans to track changes over time.
It depends on your category. In competitive markets, a score above 60 puts you in strong territory. Category leaders often score 75+ on their core prompt clusters. The number matters less than the trend. Consistent improvement means your GEO strategy is working.
SEO rankings tell you where you appear on Google. An AI visibility score tells you what happens when buyers skip Google entirely and ask AI directly. The signals and optimization levers are completely different. Brands increasingly need both.