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.
Why this exists
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 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 AIBusinesses had no standard way to measure whether AI recommends them. Match Protocol™ provides one, and a method to fix what the measurement finds.
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
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.
Top Recommended or You Don't Pay. Details on the offer page.
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.