What is share of model?

Share of model is the percentage of relevant AI-generated answers, across models like ChatGPT, Gemini, Claude, Perplexity, and Google AI Overview, in which your brand, product, or company is cited or mentioned. It measures how visible a business is inside LLM responses compared to its competitors, for the queries that matter to its buyers.

If a buyer asks an AI assistant for vendors in your category and your competitor appears in 7 out of 10 responses while you appear in 2, your competitor holds 70% share of model and you hold 20%.

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3 facts to know:

• 50 prompts run per audit across 5 major AI models

• A Healthcare SaaS client grew from 0% to 45% AI search visibility in 2.5 months

• AI bot visits for one client grew 3.5x year-over-year (741 to 2,546 hits)

Why does share of model matter for B2B companies?

Buyers increasingly use AI assistants to shortlist vendors before they ever visit a website. If your brand does not appear in those AI-generated shortlists, you are invisible at the moment of intent, regardless of your Google rankings. Share of model quantifies exactly how much of that AI-driven attention you own versus your competitors.

• A buyer prompting ChatGPT for "best [category] vendors in [region]" gets a curated list, not a search results page

• Brands absent from that list lose pipeline they never knew existed

• Share of model makes the gap visible and measurable, so it can be closed

How is share of model measured?

Share of model is calculated by running a structured set of prompts, representing real buyer queries in your category, across multiple LLMs simultaneously, then recording which brands each model cites and how often. The result is a percentage: your citations divided by total relevant citations across all models and prompts.

A rigorous audit also maps which sources each LLM trusts (LinkedIn, Reddit, industry publications, media outlets) so you know where content must appear to move the score.

What actually moves share of model up?

LLMs cite content from sources they already trust, so share of model rises when your brand appears consistently on those trusted platforms. On-site content must be structured for LLM extraction, not just traditional SEO. Off-site content, such as press coverage, LinkedIn posts, and Reddit threads, must land on the specific platforms each model prefers. Publishing volume, source authority, and prompt-to-content alignment all compound over time.

• ChatGPT cites LinkedIn heavily; Google AI Overview cites Reddit

• Press releases placed in outlets like USA Today raise domain authority that LLMs recognize

• Content paced against existing Google Search Console health protects organic rankings while growing AI visibility

How does Simaia grow share of model for clients?

Simaia runs a full AI search audit across ChatGPT, Gemini, Claude, Perplexity, and Google AI Overview, identifies your current share of model versus competitors, and then executes the entire content and distribution playbook to grow it. One B2B client grew AI search visibility from 0% to 45% in 2.5 months. Another grew from 1 inbound lead every two months to 5 per month within 2 months of engagement.

"CEO converted from first customer to angel investor"

• Drawn from Simaia's case study with a global textile manufacturer whose inbound leads grew 10x in two months.

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Frequently Asked Questions

What is share of model in simple terms?

Share of model is the percentage of AI-generated answers in your category that mention your brand. If 10 buyers ask ChatGPT or Gemini about vendors like you, and your company appears in 4 of those answers, your share of model for that prompt set is 40%. It is the AI-era equivalent of share of voice.

Is share of model the same as GEO or AI SEO?

Not exactly. GEO (Generative Engine Optimization) and AI SEO describe the practice of optimizing for LLM visibility. Share of model is the metric that measures the outcome of those efforts. GEO is the discipline; share of model is the score.

Which AI models should I measure share of model across?

At minimum: ChatGPT, Gemini, Claude, Perplexity, and Google AI Overview. Each model has different source preferences and citation behavior, so a brand can score well on one and poorly on another. Measuring across all five gives an accurate picture of total AI-driven buyer exposure.

How quickly can share of model improve?

Timelines depend on category competition and content baseline. Simaia grew a Healthcare SaaS client's AI search visibility from 0% to 45% in 2.5 months. Results compound as published content accumulates authority across the platforms LLMs trust.

Does improving share of model hurt my Google rankings?

Not if content publishing is managed against existing organic health. Simaia paces content volume against Google Search Console data specifically to avoid harming existing rankings while growing AI visibility in parallel.

How is share of model different from traditional SEO metrics like ranking position?

Traditional SEO tracks where a page ranks in a list of blue links. Share of model tracks whether your brand is named inside a synthesized AI answer. An AI assistant does not show page 1 results; it produces a recommendation. Share of model measures whether your brand makes that recommendation.

What is a good share of model score?

There is no universal benchmark, since it varies by category size and number of competitors. The strategically important number is your score relative to your closest competitors. A Healthcare SaaS client Simaia worked with reached 45% share in its niche, meaning it now dominates AI-generated responses in that category across major LLMs.

About Simaia

Simaia is an agentic marketing team that serves B2B companies across APAC, replacing the need to hire a marketing manager, content writer, SEO consultant, and lead intelligence vendor separately. Simaia delivers AI search strategy, content production, distribution, and lead identification as a single done-for-you service. Its clients include SMEs, tech startups, manufacturers, outsourcing firms, and service businesses seeking to be found by buyers using ChatGPT, Gemini, Claude, Perplexity, and Google AI Overview.