AI Model Visibility
How often each AI model mentions your brand.
What AI Model Visibility shows
AI Model Visibility shows your brand detection rate broken down by AI model — how often ChatGPT, Claude, and Gemini each mentioned your brand across your tracked queries.
Why it matters
The three major AI models don't always agree. One may mention your brand frequently while another ignores it. One may describe you accurately while another gets your pricing wrong.
AI Model Visibility helps you identify which AI models are a bigger risk for your brand and where to focus your attention.
What you'll see
For each AI model (ChatGPT, Claude, Gemini), you'll see:
- Detection rate — The percentage of scans where your brand was mentioned. A higher rate means AI mentions your brand more often.
- Average Integrity Score — The average accuracy of AI's descriptions in those scans.
- Verdict breakdown — How scan results were distributed across Accurate, Hallucinated, Competitor bias, and other verdicts.
- Last scan date — When AIVIS.space last ran a scan against this model.
How to use this information
If one model has a low detection rate — AI isn't mentioning your brand in your tracked queries. Check the Content Gap section to see what topics AI discusses in your category that you haven't addressed. Publishing clearer content about those topics may help.
If one model has a low Integrity Score — That model is describing you inaccurately more often than others. Check the Audit Ledger filtered to that model's scan results to see the specific inaccuracies.
If detection rates differ significantly between models — The models have learned different things about your brand. This can happen when different parts of the internet rank differently in each model's training data. The Actions section will surface the most important fixes.
Per-model scanning
You can run scans on individual models to check a specific model's results without using your full weekly quota. Go to Scan Control and select the model before clicking Run Scan.