Question 1

What is AI Visibility Score?

Accepted Answer

Your AI Visibility Score measures how often and how prominently your brand is mentioned when users ask AI systems questions related to your industry. Patnick probes three major LLMs — ChatGPT, Claude, and Gemini — with queries relevant to your business and tracks whether your brand, products, or content are cited in responses. The score ranges from 0 to 100 and updates regularly as new probes are run.

Question 2

How Multi-LLM Probing works

Accepted Answer

Patnick sends structured queries to multiple AI systems simultaneously. These queries are designed to match real user intent in your industry vertical. For each query, we analyze the response to determine: (1) whether your brand was mentioned, (2) in what context (positive, neutral, negative), (3) what position your mention appeared relative to competitors, and (4) whether a direct link to your site was included. Results are aggregated into your visibility dashboard.

Question 3

Forward-Looking Queries

Accepted Answer

Forward-Looking Queries are a Patnick exclusive feature. Instead of only tracking how AI responds to current queries, we also probe with emerging and predicted queries based on trend analysis, seasonal patterns, and search behavior shifts. This gives you a preview of where AI search is heading in your industry, allowing you to optimize your content before competitors catch on.

Question 4

The 3-Score Model: Demand, Clarity, Saturation

Accepted Answer

Every AI visibility measurement breaks down into three sub-scores. Demand Score measures how frequently queries in your topic area are being asked to AI systems. Clarity Score measures how well your brand is differentiated in AI responses — are you clearly identified or vaguely referenced? Saturation Score measures the competitive density — how many brands are competing for the same query space. Together, these three scores give you a complete picture of your AI search opportunity.

Question 5

Share of Voice in AI search

Accepted Answer

Share of Voice shows what percentage of AI-generated answers in your industry mention your brand versus competitors. This metric helps you understand your relative visibility. For example, if ChatGPT mentions your competitor in 40% of relevant queries but your brand in only 10%, you know exactly where to focus your optimization efforts. Patnick tracks Share of Voice across all three LLMs independently.

Question 6

Citation Tracking

Accepted Answer

When an AI system cites your website as a source, that citation drives direct traffic and builds authority. Patnick tracks every instance where your domain is cited as a reference in AI responses. We categorize citations by type: direct URL citations, brand name mentions, product references, and content quotes. The citation dashboard shows trends over time so you can measure the impact of your optimization efforts.

Question 7

Cross-LLM Consensus

Accepted Answer

Cross-LLM Consensus measures whether different AI systems agree about your brand. If ChatGPT, Claude, and Gemini all mention your brand for similar queries, that indicates strong consensus — your content is well-structured enough to be recognized by multiple AI architectures. Low consensus means your content may be optimized for one AI model but not others, which is a signal to improve your structured data and entity markup.

Question 8

Improving your AI visibility scores

Accepted Answer

To improve AI visibility: (1) Ensure your site has comprehensive structured data (schema markup) that clearly defines your brand entity, products, and services. (2) Create content that directly answers questions in your industry using clear, cite-ready formatting. (3) Build topical authority through content clusters and internal linking. (4) Use the Patnick Content Lab to generate AI-optimized content briefs. (5) Monitor your Forward-Looking Queries dashboard to stay ahead of emerging topics. Your dedicated analyst will guide you through prioritized improvements.

AI Visibility

What is AI Visibility Score?

How Multi-LLM Probing works

Forward-Looking Queries

The 3-Score Model: Demand, Clarity, Saturation

Share of Voice in AI search

Citation Tracking

Cross-LLM Consensus

Improving your AI visibility scores

Other categories

Getting Started

Technical SEO

Integrations

Billing & Plans

Still need help?