What Is Share of Model Visibility?
Share of model visibility measures how often AI engines mention your brand. Learn the formula, why it matters, and how to track it. Updated April 2026.
Siddharth Gangal • 2026-04-02 • SEO Tips
In This Article
Google rankings tell you where your website appears in search results. Share of model visibility tells you how often AI engines mention your brand when answering questions in your category.
This is the metric that separates brands winning in AI search from brands that are invisible. AI search traffic converts at 14.2% compared to 2.8% for traditional Google searches. That is 5x higher. But if AI engines do not mention your brand, that traffic goes to competitors.
Share of model visibility is the headline GEO metric for 2026. Here is everything you need to know about it.
What Is Share of Model Visibility?
Share of model visibility is the percentage of AI-generated responses that mention your brand when users ask questions relevant to your industry or product category.
Think of it as share of voice for the AI era. Traditional share of voice measures how much of the advertising or search conversation your brand owns. Share of model measures how much of the AI conversation your brand owns.
The concept was coined in 2024 by Jack Smyth, Chief Solutions Officer at Jellyfish (The Brandtech Group). Tom Roach at the same company mapped the evolution in Marketing Week:
Share of Market → Share of Voice → Share of Search → Share of Model
Each step represents how brands measure visibility as the discovery channel shifts. Share of model is the latest step. It reflects the reality that millions of people now ask ChatGPT, Gemini, Perplexity, and Claude for recommendations instead of searching Google.
Key point: Share of model visibility is the single best indicator of whether your brand exists in the AI discovery process.
Why Share of Model Visibility Matters
When a potential customer asks ChatGPT “What is the best SEO service for small businesses?” and your brand is not in the response, you do not exist in that customer’s decision. There is no page 2 to scroll to. There is no ad to run. If the AI does not mention you, you are invisible.
Three reasons this metric matters now:
1. AI search is growing fast. ChatGPT alone has 900 million weekly active users. AI chatbot traffic grew 81% year-over-year in 2025. This is not a niche channel.
2. Conversion rates are higher. AI-referred visitors convert at twice the rate of traditional search visitors in one-third the sessions. The traffic is smaller but far more valuable.
3. Zero-click behavior dominates. Most AI users accept the response without clicking through to any website. If the AI does not mention your brand in the answer, you miss the entire impression. There is no click to win back later.
The bottom line: Brands that ignore share of model visibility are giving away market share to competitors who show up in AI responses.
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How Share of Model Visibility Works
The Formula
The calculation is straightforward:
Share of Model = (Your brand mentions / Total brand mentions in category) × 100
For example, if you ask 100 category-relevant questions to ChatGPT and your brand appears in 15 responses while all competitors combined appear in 100 total mentions, your share of model is 15%.
What Gets Measured
Share of model tracks 4 components across AI platforms:
| Component | What It Measures |
|---|---|
| Brand Mention Rate | How often your brand name appears in AI responses |
| Recommendation Rate | How often the AI explicitly recommends your brand |
| Prompt Coverage | What percentage of relevant prompts trigger a mention of your brand |
| Sentiment | Whether mentions are positive, neutral, or negative |
Platform Differences Matter
Each AI engine behaves differently. Do not aggregate into a single blended score. Track each platform separately.
- Claude mentions brands in 97.3% of responses (highest rate)
- Perplexity has the lowest brand mention rate but includes external links in over 77% of responses
- ChatGPT includes links in approximately 31% of responses but drives 87.4% of all AI referral traffic
- Gemini pulls from Google’s index and favors brands that rank well in traditional search
Your share of model on ChatGPT may differ significantly from your share on Perplexity or Claude. Each platform weighs different authority signals. Read our Gemini vs ChatGPT search comparison for platform-specific details.
Best Practices for Improving Share of Model Visibility
Build cross-platform brand authority. AI engines trust brands that appear across multiple authoritative platforms. Maintain consistent, accurate profiles on LinkedIn, Crunchbase, industry directories, and your website. Distributing content across publications increases AI citations by up to 325%.
Publish data-rich, citable content. AI engines cite content with specific statistics, original research, and expert insights. Include named data points with source links in every article. Read our guide on getting cited in AI search for the full strategy.
Implement structured data. Organization, Product, and FAQ schema markup gives AI engines machine-readable facts about your brand. The sameAs property connects your entity across platforms. Conductor’s benchmarks confirm that structured data and tables significantly boost share of model.
Allow AI crawlers. If GPTBot, ClaudeBot, and PerplexityBot cannot access your content, your share of model drops to zero on those platforms. Check your robots.txt configuration. Read our AI crawlers guide for setup details.
Maintain content freshness. 83% of AI citations come from content updated within 12 months. Stale content loses share of model over time. Update regularly.
Common Mistakes to Avoid
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Measuring only one AI platform. ChatGPT, Gemini, Claude, and Perplexity all weight different signals. A brand with high share on ChatGPT may have zero share on Perplexity. Track all major platforms separately.
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Confusing share of model with traditional SEO rankings. High Google rankings do not guarantee high share of model. Fewer than 10% of sources cited by ChatGPT rank in Google’s top 10. These are separate metrics that require separate optimization. See our GEO vs AEO vs SEO comparison for the differences.
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Running too few test queries. A single query gives an unreliable snapshot. AI responses vary between sessions. Run 50+ category-relevant prompts across all platforms to establish a reliable baseline. Repeat monthly.
Share of Model Visibility and Stacc
Every article Stacc publishes is optimized for both traditional search and AI citation. We structure content with statistics, schema markup, and E-E-A-T signals that increase your brand’s share of model across ChatGPT, Gemini, and Perplexity. 30 articles per month means 30 new citation opportunities for AI engines every month.
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Learn More
Related topics:
- What Is GEO? Generative Engine Optimization Explained
- How to Get Cited in AI Search
- Track AI Search Visibility
- GEO vs AEO vs SEO: The Complete Guide
- Organic Search vs AI Search: Budget Focus
FAQ
How do I calculate my share of model visibility?
Ask 50-100 category-relevant questions to each major AI platform (ChatGPT, Gemini, Claude, Perplexity). Count how many responses mention your brand. Divide by total brand mentions across all responses. Express as a percentage. Track each platform separately rather than blending into one score.
What is a good share of model score?
Top-performing brands capture 15% or higher across their core query sets. Enterprise leaders reach 25-30% in specialized verticals. Most brands start below 5%. Any consistent presence is a strong starting point. The goal is month-over-month improvement.
What tools measure share of model visibility?
Several platforms have launched for this purpose. Semrush AI Visibility Index, Spotlight, LLM Pulse, Profound, and Conductor all offer share of model tracking. You can also run manual audits by querying AI platforms with standard prompt sets and tracking results in a spreadsheet.
Is share of model the same as share of voice?
Related but different. Traditional share of voice measures brand presence in advertising, media, or search results. Share of model specifically measures brand presence in AI-generated responses from large language models. It is the AI-era evolution of the same concept.
Share of model visibility is the metric that defines whether your brand exists in the AI discovery process. As AI search grows, brands with higher share of model will capture more high-intent traffic while competitors remain invisible. Start tracking it now.
Written and published by Stacc. We publish 3,500+ articles per month across 70+ industries. All data verified against public sources as of March 2026.
