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Share of Model (SoM)

The percentage of time a brand or source is included in AI-generated responses across a defined set of prompts.

TL;DR

Share of Model (SoM) measures how frequently generative systems include your brand in their outputs. Instead of tracking rank positions, SoM tracks inclusion inside AI-generated answers.

A Clear Explanation of How Generative Visibility Is Measured

Share of Model (SoM) is a visibility metric designed for the era of generative search. Instead of measuring where your website ranks in a list of links, Share of Model measures how often your brand is included in AI-generated answers.

In traditional search, visibility meant position. If you ranked in the top three results, you were visible.

In generative systems such as ChatGPT, Perplexity, and Google AI Overviews, visibility means inclusion. These systems synthesize information and present a single response. If your brand is not included in that response, ranking becomes irrelevant.

Share of Model measures that inclusion.

Why Share of Model Matters

Share of Model is important because generative systems do not present ranked lists of links. They generate structured answers by synthesizing information from multiple sources.

In this environment, visibility is defined by inclusion. Share of Model helps you track:

  • How often your brand appears in AI-generated responses

  • How frequently your site is cited as a source

  • How consistently your brand is included across platforms

  • How your inclusion compares to competitors

When content delivers these elements, generative systems can identify and cite your brand more reliably. This improves visibility both in traditional search and in emerging AI-assisted interfaces.

How Share of Model Works

Share of Model works by testing prompts across generative platforms so you can understand three things:

  • Whether your brand appears in AI-generated responses

  • How often your brand is cited compared to competitors

  • Which types of queries trigger brand mentions

To support this, Share of Model focuses on prompt sets, platform coverage, and longitudinal tracking.

1. Prompt Set Definition

Share of Model begins with a defined set of prompt, real questions someone might ask within generative systems. These prompts are tested across multiple AI platforms to evaluate citation patterns.

2. Evaluation Criteria

Each AI-generated output is evaluated for direct citation, brand mention, structured reference, and competitive comparison inclusion. This maps directly to how search intent translates into AI responses.

3. Calculation Method

Share of Model is calculated as:

Number of times your brand appears ÷ Total number of prompts tested = Share of Model (%)

For example, if your brand appears in 8 out of 50 tested prompts, your Share of Model is 16%.

Where Share of Model Shows Up

Share of Model applies across a range of generative environments. Each platform depends on content that answers queries clearly and authoritatively, including:

  • AI Chat Interfaces: Systems like ChatGPT, Claude, and Google Gemini rely heavily on citable content.

  • AI Search Engines: Perplexity and Microsoft Copilot synthesize answers from multiple sources.

  • AI Overviews: Google AI Overviews extract information from trusted pages.

  • Voice Assistants: Systems like Google Assistant, Siri, and Alexa pull from AI-summarized content.

  • Conversational Assistants: Retrieval-based systems that generate synthesized comparison outputs.

When You Should Measure Share of Model

If your goal is to appear in AI-generated responses or establish thought leadership, Share of Model is essential. Most brands benefit from pairing Share of Model tracking with broader structural optimization such as GEO.

Share of Model is most useful when your content includes:

  • Definitions

  • How-to steps

  • FAQs

  • Comparisons

  • Explanations of common questions

  • Authority-driven industry content

Benefits of Share of Model

Share of Model creates several advantages for content visibility:

  • Visibility clarity: You can see whether your brand appears in generative outputs at all.

  • Competitive benchmarking: You can compare inclusion patterns across brands in your category.

  • Longitudinal tracking: You can observe structural improvements over months.

  • Architectural feedback: Changes in inclusion may reflect improvements in clarity, cohesion, or authority.

  • Strategic prioritization: You can identify prompt clusters where visibility is weakest.

These benefits compound over time as search shifts toward direct and conversational retrieval.

Share of Model helps your content participate in a search environment centered on citation and synthesis. By tracking generative inclusion, your brand becomes easier for AI systems to identify and reference. Share of Model supports visibility across traditional search results, voice assistants, and AI-driven summaries. It works best when paired with broader optimization strategies that support full-page understanding, such as GEO. 🌳

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Frequently Asked Questions

1.What is Share of Model?

Share of Model is a visibility metric that measures how often your brand appears in AI-generated answers across a defined prompt set.

2.Is Share of Model the same as Share of Voice?

No. Share of Voice typically refers to advertising or traditional SERP presence. Share of Model refers to generative inclusion inside AI responses.

3.Does Share of Model replace SEO metrics?

No. It complements them. Share of Model measures inclusion in generative systems, while SEO metrics measure traffic and rank in traditional search.

4.Can Share of Model change over time?

Yes. Generative systems update frequently. Inclusion patterns may shift as content, authority signals, and model behaviors evolve.

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