What is Share of Model?
Search optimization tells you whether Google can rank you. Share of Model tells you whether AI assistants actually mention and recommend you. When someone asks ChatGPT or Perplexity for the best option in your category, your brand is either in that answer or it is not. Share of Model measures how often you show up, and how you compare to competitors, across a set of real buyer questions.
Why it matters
A growing share of buying research now happens inside AI assistants that name a few brands and stop. If you are not one of them, you are invisible at the exact moment of consideration, no matter how well you rank in classic search. Tracking your share of model turns that blind spot into a metric you can monitor and improve.
How it works
You give DigiJaws your brand, a few questions your buyers would ask an AI, and your main competitors. DigiJaws asks an AI model each question and checks who gets mentioned, then reports your mention rate and your share of voice against competitors. Pair it with your AI-readiness score to see both whether AI can read your site and whether it actually cites you.
Tracked weekly, not guessed once
Watch your Share of Model move
A single check tells you where you stand today. The AI Prompt Observatory puts your questions to the engines every week, records who got named instead of you, and writes to you when the answer changes.
- Share of Model over time, per question and per engine
- The competitors AI named in your place, by name
- Weekly re-scans with regression alerts
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Which AI visibility check do you need?
Four different questions all get called “AI visibility”, and they need different tools. This is the whole set, so you can go straight to the one that answers yours.
- Can AI engines read and cite this page? The AI visibility checker scores how machine-readable a single page is across eighteen signals. It does not ask any AI engine anything.
- Does ChatGPT actually name my brand? The ChatGPT visibility report puts one of your buyers’ questions to an OpenAI model and lists the brands it recommends instead of you. It runs without web browsing, so it shows the model’s baseline view rather than a ChatGPT-with-search session.
- Is that answer changing week to week? The AI visibility tracker measures share of model — your brand against named competitors across a set of prompts, over time. (you are here)
- How is any of this measured properly? Measuring AI visibility is the full method, including what a single spot-check cannot tell you.
FAQ
How is this different from the AI-readiness score?
The readiness score measures whether AI engines can find, parse, and trust your site. Share of Model measures the outcome: whether AI assistants actually mention you in their answers. One is the cause, the other is the effect.
Which AI models are checked?
DigiJaws queries leading assistant models (such as those behind ChatGPT and Perplexity) for each question and detects brand mentions in the answers.
Do I need an account?
Yes. Share of Model runs live AI queries, so it is an account feature. Create a free account to use it.
What is a good Share of Model score?
There is no universal threshold, because it depends on how crowded your category is. The figure that matters is relative: how often you are named compared with the three or four competitors a buyer would genuinely consider alongside you, and whether that gap is widening or narrowing. Twenty percent can be strong in a category where six vendors split the mentions and weak in one where a single brand takes most of them. Track the trend across the same set of prompts over time rather than the absolute number.
Related: What is AI search visibility?