Share of model
How often, and how favourably, AI models mention your brand for your key topics, compared to competitors.
In depth
What it really means
Share of model is the AI-era cousin of share of voice: across your important queries, how often do AI assistants name your brand, and how positively, versus competitors. It measures your presence inside AI answers.
Because there is no single ranking in AI answers, share of model is measured by prompting the assistants repeatedly and tracking who gets mentioned and how.
Share of model = times you’re mentioned across a query set ÷ total brand mentions × 100
Weight by how favourably you’re described, not just whether you’re named.
Best practices
- Define the query set that represents your buyers’ questions.
- Prompt the major assistants on a schedule and log mentions.
- Track sentiment, not just presence.
- Benchmark against your real competitors.
- Tie gains to the content and mentions that drove them.
FAQs
What is share of model?
How often and how favourably AI models mention your brand for your key topics, compared to competitors. It is the AI version of share of voice.
How do I measure it?
Prompt the major assistants with your important queries on a schedule, and log how often and how positively you are mentioned versus rivals.
Why track share of model?
Because AI answers have no single ranking. Share of model shows whether you are winning presence inside those answers over time.
What is a good share of model?
It is relative to competitors. The useful signal is the trend: rising means you are gaining ground in AI answers.
Does sentiment matter?
Yes. Being mentioned negatively is not the same as being recommended, so weight mentions by how favourably you are described.
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