404 Models / Resources / Share of Model Calculator
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Share of model calculator
Formula
Brand mentions ÷ total category mentions × 100. The denominator includes your brand plus every competitor count entered.
Sampling rule
Use the same prompts, engines, market, settings, and collection window for every brand.
No benchmark invented
The result describes this sample only. It does not label a percentage good, bad, or typical.
Calculator
Your sampled result
Methodology and caveats: This calculator reports only the sample entered here. It does not infer category demand, sentiment, citation quality, prompt coverage, or a market benchmark. The denominator is your brand mentions plus the three competitor mention counts. Because one answer can mention several brands, total category mentions may exceed answers reviewed. If the denominator is zero, the calculator shows no percentage instead of treating absence as 0% share. Repeat the same documented prompt set over time to compare like with like.
1. Define the sample
Document category, prompts, engines, market, settings, and collection date.
2. Count consistently
Count each brand no more than once per answer, using the same competitor set.
3. Calculate the share
Divide brand mentions by all counted category mentions, then multiply by 100.
4. Repeat like for like
Rerun the same sample on a fixed cadence and investigate changes before drawing conclusions.
What is share of model?
Share of model is the percentage of counted category mentions assigned to a brand in a defined sample of AI-generated answers. It is a sampled visibility metric, not a universal market share.
How do you calculate share of model?
Add your brand mentions and competitor mentions to create the denominator. Divide your brand mentions by that total and multiply by 100. If the denominator is zero, report no percentage.
What should a share-of-model sample include?
Record the exact prompts, answer engines or models, market, language, date, settings, and counting rule. Keep them stable when comparing results over time.
Is there a good share-of-model benchmark?
Not from this calculator. A defensible benchmark depends on category, prompt set, engine mix, market, and sampling method. Compare like-for-like samples and disclose the method.