Share of model
Share of model measures how visible your brand is inside one specific AI model, as opposed to your visibility blended across every model at once.
Share of model is your brand’s visibility within a single AI model — for example, how often ChatGPT cites you compared with competitors on a tracked set of queries. It is the per-model breakdown of AI share of voice. Because each model retrieves and weighs sources differently, your share of model can vary widely from ChatGPT to Gemini to Grok, so looking at one blended number can hide which engines you actually win.
What does “share of model” mean?
Share of model is a per-engine view of how much of the AI answer space your brand owns. Instead of asking “how visible am I in AI overall,” it asks “how visible am I inside ChatGPT specifically” — and then the same for each other model you track.
How is share of model different from AI share of voice?
AI share of voice is the blended figure across engines. Share of model splits that figure by engine so you can see which models cite you and which ignore you. Optimizing is easier per model, because each one rewards different content patterns.
Example
Suppose you track 50 buyer questions across three engines. If ChatGPT cites you on most of them but Gemini cites you on only a handful, your blended share of voice looks moderate — but your share of model tells the real story: strong on ChatGPT, weak on Gemini. That points you straight at the engine to fix.