AI Model Comparisons: visibility across ChatGPT, Gemini & Perplexity

AI Model Comparisons (also called AI Model Insights) is a matrix view that compares brands and competitors across every AI model you track: ChatGPT, Perplexity, Gemini, Google AI Mode and Google AI Overviews. It helps you identify which models favor which brands and where your optimization efforts should focus.

With AI Model Comparisons, you can:

• See which AI models mention your brand most, and which ones ignore you
• Compare your Mention Rate, Citation Rate, sentiment, and position side by side against competitors, per model
• Find the specific model where a competitor out-ranks you, so you know where to concentrate GEO work
• Spot a model that cites your URLs but never names your brand, or vice versa

The report pairs a mention rate trend line with a mention share breakdown, so you can see both how each model's visibility moves over time and how that visibility is split between your brand and competitors.

What it does

• Displays a comparison table with brands as rows and AI models as columns
• Supports 8 analysis tabs, each showing a different metric perspective:
  1. Brand Visibility: mention rate per model
  2. Citation Rate: how often each model returns your URLs as visible or background sources
  3. Net Sentiment: sentiment scores per model
  4. AI Visibility Score: position-weighted visibility per model
  5. Average Mention Position: the average order your brand appears among all brands named in an answer (Position 1 means mentioned first, lower is better), per model and per competitor
  6. Position Distribution: how often you appear at Position 1, 2, or 3+ per model
  7. Date Comparison: compare two dates side by side to see metric changes
  8. AI Overview Results: performance specifically in Google AI Overviews
• Shows pie charts breaking down each brand's visibility by AI model
• Lets you compare two specific dates to track how rankings changed over time

How to use it

1. Navigate to AI Model Insights in the sidebar (under Reports)
2. Use the metric tabs at the top to switch between different comparison views
3. Filter by date range, tags, country, or language
4. In the Date Comparison tab, select two dates to see metric changes side by side
5. The table highlights which models give you the strongest visibility

Tips & notes

• Different AI models may perceive your brand very differently, a strong position in ChatGPT doesn't guarantee the same in Gemini
• Use this to identify which models need optimization and which are already performing well
• The AI Overview Results tab is specific to Google AI Overviews and shows how your brand appears in that context
• Position Distribution shows the distribution of your mention positions (1st, 2nd, 3rd+), higher Position 1 rates indicate stronger brand authority in that model, and it now also shows the average mention position headline for your brand next to a competitor
• Average Mention Position is the single number behind Position Distribution: select it as a metric on the Overview tab to compare your average rank against competitors across every model, and it also appears in the Overview dashboard KPI bar. Lower is better
• In the AI Visibility Score table, the Average column is the arithmetic mean of the enabled AI model columns. It does not add the model scores together