Done-for-you AEO and GEO, powered by Match Protocol™
When your ideal customer asks an AI engine who to hire, the engine answers with one or two names. Modern Asset Lab deploys Match Protocol™ on your business so one of those names is yours, then meets the buyer who clicks with a page and a process that close. You don't learn a framework. You get recommended.
For established businesses with a proven offer. Limited engagements per month. Top Recommended or You Don't Pay.
There was a year when the phone book stopped ringing. Nobody announced it. The businesses that noticed early built websites and took the next decade of customers. The ones that waited paid for the same customers at auction, forever.
This is that year again. A buyer with a leaking roof, a toothache, a lawsuit or a tax problem no longer types three words and scans ten links. They ask a question, in a sentence, and ChatGPT, Google AI Overviews, Perplexity or Gemini answers with a recommendation. One name. Maybe two. Everyone else is not on page two. Everyone else is absent.
Google moved AI answers to the front of search in May 2026. The engines are now the matchmaker between your buyer and your business. The only question that matters is whether the matchmaker knows your name, trusts it, and says it.
Match Protocol™ has one layer for each of those five moves. That is not a coincidence. It was built by watching them.
Most businesses are easy for AI to find and easy for AI to verify, yet rarely the one it recommends. The engine can read you. It just has nothing it can safely say about you. Three gaps cause almost all of it.
88 percent of businesses have incomplete or missing structured data. Without an entity description the engine is guessing what you do, where you serve and who you serve. Engines do not recommend guesses.
66 percent have no content answering the questions buyers ask before they choose. Engines recommend what they can lift into a sentence. If your site never says "yes, we handle emergency calls on Sundays, here is how," the engine recommends the business that does.
Your own site is a claim. Engines choose the business whose claims are repeated by sources they already trust: directories, press, reviews, knowledge bases. Most businesses have never seeded a single one on purpose.
Six months, because engines re-crawl, re-index and re-weigh on their own schedule and corroboration takes time to propagate. Every layer is done by Modern Asset Lab. Your job is to answer our questions and watch the recommendation rate move.
We built the Score that shows how often AI ghosts a business. We are not going to take your money and add you to that number.
The engagement carries a guarantee: become the top recommended business for your core buyer questions on the engines we target, or you don't pay. The exact definition, the measurement, and the conditions are written into your agreement and walked through line by line on your Strategy Session, before you decide anything.
AI search is new. Nobody has ten years of case studies, including the agencies that say they do. What we have is a published methodology and a guarantee we can afford to make because we measure every month.
Layers are deployed lowest-stage first, so the first work goes where your score is bleeding the most points. This is the typical sequence.
We run your Match Protocol Score™ across all four engines, show you the buyer questions where you were never named, name the competitors AI recommends instead, and map which layers close the gap. If we're not a fit, you keep the score and the map.
Entity schema, llms.txt, crawler access, JavaScript cleanup, and the knowledge-graph corrections. Found and Matched usually move first, and fastest.
The question set from your buyer research becomes answers and FAQ content built for extraction, placed on the pages engines retrieve. This is the layer that carries 35 percent of the score, and the one most businesses have never touched.
Corroboration seeded where engines look, profiles reconciled so every source agrees about you, and proprietary content published under your name. This layer propagates slowly, which is why it starts early and runs long.
The same blind buyer conversations re-run. AI referral tracking tells you which engine sent the buyer. Conversion work on the landing pages and follow-up makes sure the recommendation turns into revenue, not a bounce.
We run a limited number of Match Protocol™ engagements at a time because every layer is done by people who measure the result. Qualification is real, and it protects the guarantee.
We did not add AEO to a menu. We built the framework, measured the market with it, and published the methodology. Match Protocol™ was developed by our founder, Clint Rogers, while rebuilding the AI search presence of Creativo AI, the Techstars-backed company he leads, where it was tested against real engines and real buyer questions before it had a name.
And we are a client acquisition agency, not a content shop. Layer five, Human Handoff, exists because a recommendation is only worth the booked call it produces. An AI referral that dies on a bad landing page is a referral wasted. We are the people who make sure it is not.
"When your ideal customer asks ChatGPT or Google AI a question, the AI is a matchmaker scanning for the safest, most authoritative match. Most businesses have never been introduced. Match Protocol™ aligns the algorithmic math with human trust so that when AI plays matchmaker, it chooses you, and when the human clicks, they are ready to buy."
Clint Rogers, founder of Modern Asset LabEngagements are six-month partnerships priced for established businesses, and the exact investment depends on your market, your current score and how many engines are in scope. We cover it on the Strategy Session once we have seen your score, so the number is tied to the work your business actually needs rather than a menu.
It means the engagement is tied to the outcome the benchmark measures: whether AI engines recommend your business for your core buyer questions. The precise definition, the engines in scope, the measurement method and the conditions are written into your agreement and walked through on the call before you decide. We can make the guarantee because we re-score every month and see the movement.
Parts of layer one, yes, and we will show you which parts on the call. The rest is human work repeated against live results: building the buyer question set, auditing what four engines currently believe about you, writing answers an engine will actually lift, seeding corroboration with sources that have their own rules, and reading the monthly re-score to decide what to do next. Most teams that try it do the technical layer and stop, which is why so many businesses are easy to find and rarely recommended.
Because engines re-crawl, re-index and re-weigh on their own schedule, and corroboration takes months to propagate through the sources they trust. Technical fixes show up in weeks. Recommendation rate moves over one to three months. Trust builds over the back half. A shorter engagement would stop before the layer that pays.
Ask them for your AI Recommendation Rate, by engine, with the buyer questions they tested. If they have it, keep them. SEO optimizes pages for rankings. Match Protocol™ optimizes a business as an entity for a recommendation, and it measures the recommendation directly. The two are complementary, and we work alongside SEO teams often.
They will. Every month. That is why the engagement re-scores monthly and why the framework is built on how engines select rather than on any one engine's quirks: readable entity, aligned questions, extractable answers, corroborated claims, converting handoff. Those are the inputs every engine uses. When one shifts weight, the monthly score shows it and the next month's work follows.
If your buyers ask questions before they choose, yes. Professional services, healthcare and med spa, legal, financial, home services, B2B services and software are where the work pays fastest. Restaurants and very low-ticket local services usually do better starting with the Score and its fix plan.
Forty-five minutes. We run your Match Protocol Score™ across ChatGPT, Google AI Overviews, Perplexity and Gemini, show you the buyer questions where you were never named and who AI named instead, identify your lowest stage, and map the layers that close the gap. If we're a fit, we walk through the engagement and the guarantee. If we're not, you keep the score and the map.
Forty-five minutes. Your score on all four engines, the questions you're losing, the competitors winning them, and the layers that change it.
Limited engagements per month. Qualification required. Top Recommended or You Don't Pay.
The strategies discussed herein are business growth systems. This is not financial advice. Individual results vary based on implementation, market, and execution. Modern Asset Lab is a division of Do More Good Inc.