A structured, clinical framework for evaluating how visible a business is inside AI-generated answers across ChatGPT, Claude, Gemini, and Perplexity.

This guide outlines the seven components that determine a brand’s LLM visibility profile. You can download the full PDF version below.

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Download the LLM Visibility Score™ Guide (PDF)
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The Seven Scoring Categories

1. Entity Recognition

How clearly AI models identify your brand, purpose, and domain.

2. Semantic Consistency

Consistency of terminology, topic hierarchy, and definitions.

3. Authority Signals

Strength of evidence-based content, schema, structure, and trust cues.

4. Topic Coverage

Depth and breadth of content within your primary domain.

5. Extractability

Presence of definitions, lists, frameworks, and Q&A sections.

6. Retrieval Alignment

Match between your content and model retrieval behavior.

7. Citation Potential

Likelihood of being referenced or surfaced inside AI-generated answers.

How Scoring Works

Each category is rated from 0 to 5, producing a total possible score of 35.

• 0–10: Low visibility
• 11–20: Moderate visibility
• 21–28: Strong visibility
• 29–35: High visibility, model-friendly structure

When to Use the Score

• Pre-engagement diagnostics
• Quarterly audits
• Cross-model testing
• Content strategy planning
• Semantic restructuring

The LLM Visibility Score™ is the backbone of our diagnostic process.

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