Proprietary Framework

When AI Gets Asked —
Do They Pick You?

Every day, thousands of people in your city ask AI assistants to recommend a business like yours. Share of Model is the percentage of those recommendations your business wins — versus a competitor.

Think of it like market share, but for AI recommendations. We measure it with our proprietary MAHI Index™, track it across 8 AI platforms, and systematically grow it month over month.

Live MAHI Index™ Example

34%SHARE OF MODELYour Business
28%SHARE OF MODELCompetitor A

AI Recommendation Share

Your Business34%
Competitor A28%
Competitor B22%
Others16%

Tracked across 8 AI platforms · Updated monthly

Plain English

Here's What's Actually Happening

Someone asks AI a question

"Who's the best HVAC company in Orlando?" or "Top-rated med spa near me that takes walk-ins." This happens thousands of times per day in your city.

AI picks 1–3 businesses

It doesn't show a list of 10 links. It recommends 1 to 3 specific businesses — by name — and the person usually calls one of them without clicking anywhere.

Your share is your score

Out of 100 recommendations made for your service type in your city — how many included your business? That number is your Share of Model. We measure it. Then we grow it.

How It's Priced

Foundation First. Amplifiers on Top.

Share of Model is an Amplifier — it builds on top of your AI Foundation. You can't measure what AI doesn't know exists. The Foundation makes AI aware of you. Share of Model tracks and grows how often AI recommends you.

Foundation

Required for all clients

Included in all plans

Why Foundation is required: AI platforms need to verify your business through schema markup, entity signals, and structured data before they'll recommend you. No Foundation = no AI visibility to measure.

Amplifiers

Share of Model Optimization

Proprietary

Track + grow your AI recommendation rate

You are here — this page

Reddit Marketing

Add-on

AI training data from Reddit citations

Learn more

Social Media SEO

Add-on

Social signals that reinforce AI trust

Learn more

Add-on pricing: Amplifiers are priced separately because they require different expertise, tools, and time. Bundling them into Foundation would raise base prices for every client — even those who don't need them yet.

The Process

Measure → Gap Analysis → Grow

01
01

Measure Your Score

We run hundreds of real AI queries — the same ones your potential customers are typing — across 8 platforms. We record who gets recommended. You get your baseline Share of Model score using our MAHI Index™.

~200 queries per platform × 8 platforms = full picture

02
02

Find the Gaps

We identify exactly which queries send customers to a competitor instead of you — and trace the technical or content reason why. Weak schema, missing entity signals, content gaps, or low citation authority.

You see the competitor. You see the fix.

03
03

Grow Your Share

We execute the fix plan, publish targeted answer-capsule content, and strengthen the signals that move AI from recommending your competitor to recommending you. Monthly re-testing shows progress with hard data.

Average 30–60 days to measurable movement

Tracked Simultaneously Across All 8 Platforms

ChatGPT
Perplexity
Google AI
Gemini
Copilot
Claude
Meta AI
Apple Intelligence

Each platform has different recommendation patterns. We track them individually and report your aggregate score — so you know exactly where to invest.

Proprietary Tool

The MAHI Index™

The MAHI Index™ (Market AI Health Index) is our proprietary diagnostic framework — the only tool built specifically to measure AI recommendation health for local service businesses.

Developed by Kristina Shrider from her peer-reviewed research in AI-mediated marketing, the MAHI Index™ converts complex AI behavior into a single, trackable score that grows month over month.

Runs real queries — not synthetic benchmarks
Scores recommendation frequency, prominence, and confidence
Tracks 8 platforms simultaneously
Produces before/after data every 30 days
Identifies the exact competitor citations to displace

Sample MAHI Report Card

ChatGPT
42%+8
Perplexity
31%+5
Google AI
38%+11
Gemini
25%+3

Aggregate Score

34%

vs. Last Month

+6.75%

MAHI + MAD-M

MAHI measures visibility health. MAD-M explains why it decays.

The MAHI Index™ is the scorecard: how often AI systems recommend your business, how confident those recommendations are, and which competitors are winning the answer.

MAD-M™ is the governance lens behind the improvement plan. It treats AI visibility as a system that can decay when service facts, citations, content, reviews, and market positioning drift out of alignment. That is why Share of Model is monitored over time instead of treated as a one-time SEO task.

Deliverables

What You Get Every Month

Baseline Share of Model audit — your current AI recommendation rate
Competitor gap analysis — see exactly who AI recommends instead of you
Daily prompt testing across 8 AI platforms
Monthly MAHI Index™ report with clear before/after data
Strategic fix plan targeting your lowest-scoring platforms
Content recommendations that displace competitor citations
Technical signal improvements that increase AI confidence
Proprietary MAHI Index™ score you can track and benchmark
FAQ

Common Questions

Find Out Your Score

Start with the free AI Visibility Scan to see where you stand. Then talk to us about adding Share of Model tracking and growth.

Share of Model Optimization is an add-on service — available after your Foundation is in place.

Ready to Be the Business

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Book a free strategy session. We'll show you exactly where you stand and what it takes to own your local AI market.

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