A year ago a prospect typed "roofing company near me," scanned ten links and called three. Today they ask an AI engine "who should I hire to replace my roof in Tulsa, and why?" and get a short answer with one or two names in it. That answer is the whole shortlist. If you are not in it, there is no page two to climb from. You are simply not part of the conversation.
Most businesses have no idea this is happening, because it never shows up in their analytics. The buyer who was told to call someone else never visited your site. AI can read you. AI can verify you. AI will not send you the customer.
That gap is the single biggest client acquisition opportunity of the next three years, and almost nobody in your market is working on it yet.

100 U.S. small businesses. Up to 32 blind buyer conversations each across ChatGPT, Google AI Overviews, Perplexity and Gemini. The engines could read them. They wouldn't recommend them.
Four steps. The first two cost you nothing but an hour.
A six-month, done-for-you engagement across all five layers, measured every month against the buyer questions that matter in your market. You approve. We research, build, publish, corroborate and re-score.
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.
Clint Rogers developed Match Protocol™ while scaling Creativo AI, a Techstars-backed company, and it was the first business to run the full framework. The results became the methodology, and the methodology became the Match Protocol Score™.
Modern Asset Lab exists to deploy that system for a small number of businesses that want to own the recommended answer in their category before their competitors know the category has changed.