Proprietary

Share of Model Optimization

Every time someone asks AI who to call for your service in your city, that's a recommendation opportunity. Share of Model is how many of those you're winning — and we grow that number.

8

AI platforms tested: ChatGPT, Perplexity, Gemini, Copilot, Claude, Meta AI, Google AI, Apple Intelligence

Hundreds

of real customer queries run per client per month

MAHI Index™

— proprietary scoring system developed by Kristina Shrider for AI recommendation health

30–60

days to measurable Share of Model score improvement

You can't grow what you can't measure — and right now, you have no idea how often AI recommends your competitors instead of you.

  • Every local business query on ChatGPT, Perplexity, or Google AI is a recommendation opportunity — without Share of Model tracking, you have no data on whether you're winning or losing those
  • AI recommendations are zero-sum: when your competitor gets the citation, you don't. Most local businesses have no idea they're losing dozens of potential customers per week to AI-driven competitor citations
  • Traditional analytics can't capture AI-driven discovery — GA4 doesn't show you a customer found you because ChatGPT recommended you. Share of Model fills that gap.
I created the MAHI Index™ because I kept getting the same question from clients: 'How do we know if this is working?' Traditional SEO has rankings — you can see position 1 vs position 5. AI visibility had nothing equivalent until we built Share of Model tracking. Now we run hundreds of real queries through every major AI platform, exactly the way real customers search, and we score how often each business in a market gets recommended. It's the closest thing to a real-time AI market share report for local businesses — and I haven't seen anyone else build it at this granularity.

Kristina Shrider, Founder — Market Disruptors Agency

What You Get

Built exclusively for local service businesses — not generic templates, not SaaS playbooks. Every deliverable is designed for businesses that live and die by calls and booked appointments.

Baseline Share of Model audit — find out your current AI recommendation rate vs competitors
Competitor gap analysis — see exactly who AI recommends instead of you, and why
Daily prompt testing across 8 AI platforms with monthly reporting
MAHI Index™ diagnostic — proprietary scoring system for AI recommendation health
Strategic playbook to capture competitor AI citations query by query
Monthly Share of Model growth report with clear before/after data

How It Works

01

Measure Your Baseline

We run hundreds of real AI queries — the same questions your potential customers are asking — and record how often your business appears vs your top 5 competitors. This gives you your baseline Share of Model score via the MAHI Index™.

02

Find the Gaps

We identify the exact queries where competitors are getting recommended and you're not. Then we trace why — weak schema, missing entity signals, content gaps, or low citation authority — and build a fix plan.

03

Grow Your Share

We execute the fixes, publish targeted content, and strengthen the signals that move AI from recommending your competitor to recommending you. We re-test monthly so you can see your score climb.

See How Your Business Scores on Share of Model Optimization

Run a free CitationIQ™ scan — we check share of model optimization and 20+ other AI visibility factors. Results in 60 seconds.

Free AI Scan

Frequently Asked Questions

Share of Model is the percentage of AI recommendations in your category and city that go to your business versus your competitors. Think of it like market share — but instead of tracking who gets the most customers, we track who gets the most AI mentions. When someone asks ChatGPT 'best HVAC company in Orlando' or 'top-rated med spa near me,' there are a limited number of businesses AI will recommend. Share of Model is your slice of those recommendations.

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