AI VISIBILITY SCORE

An AI visibility score is a metric that evaluates how frequently and prominently your brand is mentioned when generative AI models (like ChatGPT, Claude, and Gemini) respond to user category queries. The score is computed as a percentage of queries where your brand is successfully cited as a solution.

Generative AI models do not rank sites based on traditional SEO backlinks. Instead, they use entity association and information density. If your brand is missing structured schemas, has weak heading hierarchies, or lacks citation authority in industry reviews, AI models will overlook your brand during retrieval chunking.

You can improve your brand's AI citation rate by optimizing your website for Generative Engine Optimization (GEO). This includes adding rich JSON-LD schemas, clarifying semantic entities, improving LLM readability indices, and getting mentioned in trusted third-party datasets and lists.

When an AI model ignores your brand, it represents a 'Retrieval Gap.' The crawler or training data has failed to map your brand to the user's search query entity. This leads to competitor displacement, where the AI recommends your competitors instead of you.

Traditional Google SEO focuses on getting onto Page 1 for keyword queries. AI Visibility focuses on being cited in the natural language answers generated by LLM models. AI search does not offer a list of links; it recommends 1-3 authority brands directly in the text answer.