Scoring Methodology

Authority measures how trusted and recognized your brand is across the web. This includes third-party mentions in authoritative publications, presence in knowledge graphs, professional review sites (G2, Trustpilot, Capterra), and the depth of entity relationships AI models can find.

Clarity measures how unambiguously AI models can identify what your brand does. If a model cannot determine your industry, value proposition, or target audience within its first 100 tokens of analysis, your Clarity score suffers. Brand collisions with similarly named entities trigger significant penalties.

Technical evaluates the machine-readability of your digital infrastructure. AI answer engines rely on structured data, semantic HTML, and properly formatted content to parse and retrieve your information during RAG (Retrieval-Augmented Generation) processes.

Sentiment aggregates public opinion about your brand from reviews, social media, forums, and industry discussion. AI models have safety layers that may avoid citing brands with negative or controversial sentiment, making this a critical but often overlooked factor.