Match Protocol™ · The AEO/GEO Framework · Owned by Modern Asset Lab

The protocol that leads AI to recommend you.

Match Protocol™ is a five-layer framework for Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO). It engineers a business to be found, matched, recommended, trusted and chosen when ChatGPT, Google AI Overviews, Perplexity and Gemini answer a buyer's question. SEO earns you a position. Match Protocol™ earns you the recommendation.
Developed by Clint Rogers · Proven on Techstars-backed Creativo AI · Measured monthly with the Match Protocol Score™
8 in 10small businesses in the benchmark landed in the Ghosted tier
50.9average Match Protocol Score™ out of 100
36%were never recommended once by any AI engine
8 in 100were recommended in more than half of their buyer conversations

Match Protocol™ Benchmark 2026 · 100 U.S. small businesses · 10 industries · 11 metro areas · up to 32 blind buyer conversations each on ChatGPT, Google AI Overviews, Perplexity and Gemini · Read the full findings

What is Match Protocol™?

The short answer

Match Protocol™ is a proprietary five-layer framework for Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO), developed by Clint Rogers and owned by Modern Asset Lab. The five layers are Machine-Readable Architecture, Algorithmic Alignment, Targeted Extraction, Citation & Corroboration and Human Handoff. Together they make a business machine-readable, aligned, extractable, corroborated and conversion-ready, so AI engines recommend it and the human who clicks is ready to buy.

Every layer maps to one of five stages a buyer's AI conversation moves through: Found, Matched, Recommended, Trusted, Chosen. The Match Protocol Score™ measures all five on a 0-to-100 scale. The lowest stage tells you exactly which layer to deploy first. That is the whole system: measure the stage, deploy the layer, re-measure, repeat until AI chooses you.
The name is literal. When your ideal customer asks an AI engine a question, the engine is a matchmaker. It scans for the safest, most verifiable match and introduces one business. Match Protocol™ is how you become that business.

Why this exists

AI search is a matchmaker. Most businesses have never been introduced.

A buyer no longer types a keyword and scans ten blue links. They ask a question, and ChatGPT, Google AI Overviews, Perplexity or Gemini answers with one, two, maybe three names. Everyone else is invisible. Not ranked lower. Not on page two. Absent.

Most businesses are easy for AI to read and easy for AI to verify, yet rarely the business AI recommends. AI can read them. AI can verify them. AI will not recommend them. A working website is no longer a referral.

And the referral is worth more than the ranking ever was. Ahrefs reported in June 2025 that AI search visitors were 0.5 percent of its traffic but 12.1 percent of its sign-ups, converting 23 times better than organic visitors. The buyer who arrives from an AI recommendation has already been told you are the answer.

The benchmark, in one line

"The AI is a matchmaker scanning for the safest, most authoritative match. The benchmark confirms it: most businesses have never been introduced."

Clint Rogers, founder of Modern Asset Lab and CEO of Creativo AI

Businesses had no standard way to measure whether AI recommends them. Match Protocol™ provides one, and a method to fix what the measurement finds.

Lumi

Machine-Readable Architecture

Schema, entities, crawlable structure and clean technical signals so every AI engine can read exactly who you are and what you do.
Lumi

Algorithmic Alignment

Your services, locations and proof phrased the way buyers actually ask, so the engine matches you to the right question.
Lumi

Targeted Extraction

Answer-first content that an engine can lift straight into its reply, with your name attached.
Lumi

Citation & Corroboration

Third-party mentions, reviews, press and consistent data that let the engine verify you are the safe recommendation.
Lumi

Human Handoff

The page, offer and follow-up that turn a recommended visitor into a booked client. This is where most agencies stop short. We don't.
Lumi

Read the full framework

Definitions, stage weights, the 49-point recommendation cap, and how the Score is calculated.

How it is measured

Five stages. Five weights. One score, capped by the only thing that matters.

The Match Protocol Score™ asks all four engines the questions real buyers ask, never naming the business, counts who AI recommends, and weights the five stages into a 0-to-100 score. Recommended carries 35 percent, the most of any stage, so a business AI never recommends cannot leave the Ghosted tier.

Stage

What it asks

Weight

Layer that moves it

Found

Can AI read you?

20%

M — Machine-Readable Architecture

Matched

Does AI name you for the right buyer questions?

20%

A — Algorithmic Alignment

Recommended

Does AI recommend you?

35%

T — Targeted Extraction

Trusted

Can AI verify you?

15%

C — Citation & Corroboration

Chosen

Is your site built to convert the human?

10%

H — Human Handoff

Ghosted 0–59Friend Zone 60–69First Date 70–79
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The One 90–100

Traditional SEO

Optimizes a page for a keyword

Goal: rank a URL on a results page
Unit of work: the page
Signals: keywords, backlinks, domain authority
Measured by: position, impressions, clicks
Outcome: a slot among ten links the buyer still has to evaluate

Match Protocol™

Optimizes a business for a recommendation

Goal: be the name AI gives when a buyer asks
Unit of work: the entity, across every engine
Signals: structured data, extractable answers, third-party corroboration, conversion path
Measured by: the Match Protocol Score™ and AI Recommendation Rate
Outcome: the buyer arrives already told you are the answer

What a Match Protocol™ engagement looks like.

Everything we deploy lives on your domain and under your name. When the engagement ends, the entity, the answers and the citations keep working for you. That is why we call them assets.

Score and diagnose. Your Match Protocol Score™ across all four engines, with the lowest stage identified and the layer that moves it named.
Deploy in order. Layers are deployed lowest-stage first, so the first month's work goes where the score is losing the most points.
Re-score every month. The same blind buyer conversations, re-run. You see the recommendation rate move, engine by engine.
Hand off to a human who closes. Layer five makes sure the buyer AI sends you is met by copy, pages and follow-up that finish the sale.

Top Recommended or You Don't Pay. Details on the offer page.

Proving ground

Built on Creativo AI first. Then opened to everyone.

Clint Rogers developed Match Protocol™ while rebuilding the AI search presence of Creativo AI, the Techstars-backed AI creative operating system he leads. Creativo is the first implementation of the framework and the reason every layer is specific: each one was tested against real engines, with real buyer questions, before it was given a name.

The 2026 Benchmark then ran the same method across 100 small businesses in 10 industries and 11 metro areas to establish the baseline the whole market is now measured against: an average score of 50.9, with 8 in 10 businesses in the Ghosted tier.

Questions buyers and AI engines ask

Match Protocol™, answered.

What is Match Protocol™?

What do the five letters in M.A.T.C.H. stand for?

How is the Match Protocol Score™ calculated?

How is Match Protocol™ different from traditional SEO?

What is the difference between AEO and GEO?

Which AI engines does Match Protocol™ target?

How long does it take to move a Match Protocol Score™?

Can my own team run Match Protocol™?

Who owns Match Protocol™?

Find out who AI is recommending instead of you. Then fix it.

In 45 minutes we run your Match Protocol Score™ across all four engines, show you the exact questions buyers are asking where you were never named, and map which layers close the gap. If we're not a fit, you keep the score and the map.
Limited engagements per month · Qualification required · Top Recommended or You Don't Pay