AI SEO Glossary
What is Share of Model?
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TL;DR - Share of model is a brand's share of an AI model's category mindshare: when users ask an engine for recommendations in a category, how often - and how favorably - the model names that brand relative to competitors. It is the AI-era analogue of share of voice, measured by running recommendation-style prompts across engines and scoring brand presence in the responses. Unlike citation share, which counts source citations, share of model captures unlinked, from-memory brand recall - the associations the model absorbed from training data and reinforces through grounding.
Share of model in practice
How often AI tools pick you over rivals
Share of model is how often your brand appears in AI answers compared with your competitors. It is the AI version of share of voice, and it moves when your content, mentions and product data improve.
- ›Measured against named competitors
- ›Tracked across several assistants
- ›Tied back to the work that moves it
Definition & scope
Share of model moves slowly and compounds: it reflects the accumulated weight of mentions, reviews, and coverage a model has absorbed. That makes it a lagging indicator of brand-building work and a moat once established - competitors can't quickly talk a model out of its learned associations.
Tracked alongside citation share, it separates two different wins: being the cited source in a grounded answer (fast lever) versus being the brand the model volunteers unprompted (slow lever). A mature AI-visibility program measures and works both.
Related terms
- Citation Share - the citation-counting sibling metric.
- Brand Mentions - the training signal share of model accrues from.
- Prompt Visibility Tracking - the measurement harness.
Related services
- AEO Services - programs measured on citation share and share of model.
- AI Visibility Check - benchmark your current AI mindshare.