How is Share of Model different from Share of Voice?

Share of Voice measures presence across paid, earned and owned media channels. Share of Model measures presence inside AI-generated answers, one model at a time. SoV rewards spend; SoM rewards entity, citation, and content structure.

How do you measure Share of Model?

Define a category prompt set (e.g. 25 commercial queries), sample each prompt N times per model to stabilize output variance, count all category brand mentions, then compute your share of that pool. Track per model, per week.

Why is Share of Model growing as a category?

As users move from ranked search results to synthesized answers, being mentioned matters more than being linked. SoM captures presence inside the answer itself — the new discoverability primitive.

Hub · Share of Model

Share of Model — the AI-native Share of Voice

Q: What is Share of Model?

Share of Model (SoM) is the percentage of AI-generated brand mentions inside a specific LLM, for a specific category, that belong to your brand. It is the AI-native equivalent of Share of Voice: a direct read on how much of a model's category answer surface you own.

SalesMarketing.ai pioneered the Share of Model metric. This is the definitive hub: definition, measurement, tools, ROI and best practices.

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What is SoM?SoM vs Share of Voice How to measure SoM SoM tools SoM metrics SoM ROI SoM examples SoM best practices

What is Share of Model?

The share of AI-generated brand mentions in a category that belong to your brand — measured per LLM. If Gemini surfaces 100 brand mentions across your tracked prompts this week and 34 are yours, your Gemini Share of Model is 34%.

Share of Model vs Share of Voice

SoV measures channels (paid, earned, owned). SoM measures answers. As shoppers, buyers, and researchers move to synthesized AI answers, SoM captures presence where the decision now happens.

How to measure Share of Model

Define a category-level commercial prompt set. Run each prompt N times per model to stabilize sampling variance. Extract all brand mentions using deterministic parsers. Compute your share of the total. Track weekly, per LLM, per prompt cluster.

Share of Model tools

The category is emerging fast. Purpose-built tools include SalesMarketing.ai's dashboard, plus a growing set of point tools focused on single-model tracking. Most rely on managed prompt sampling and citation extraction.

Share of Model metrics

Beyond the headline percentage, track: SoM change week-over-week, SoM per prompt cluster, SoM per model, cited vs uncited mention split, and sentiment-weighted SoM (SoM × avg sentiment).

Share of Model ROI

Every point of SoM in a commercial category translates to attributable pipeline or GMV. Multiply your model's estimated category answer volume by your SoM and by category-average conversion to derive incremental revenue.

Share of Model examples

Tourism.mu grew from 6% to 41% Gemini SoM on 'Mauritius travel marketplace' prompts in 120 days. AIPC.computer holds ~63% Perplexity SoM on 'AI PC' category queries.

Share of Model best practices

Fix the entity first (Wikidata, KG, canonical descriptions). Ship structured data. Seed authoritative third-party mentions. Publish deep category comparison content. Measure per model — don't average across models.

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Explore the Share of Model cluster

Share of Model Tracking

Daily, weekly, competitor and AI-engine comparison tracking with historical trend.