Master Scaling started in 2018 by running social media and digital marketing for local businesses. Its founder explains how one recurring problem pulled the firm toward reputation, PR and AI search.
When Royston G King founded Master Scaling in 2018, the work was refreshingly concrete. Local businesses wanted more customers, and the agency’s job was to deliver them through social media, digital advertising and the practical mechanics in between: leads, booked appointments and people actually walking through the door. Success was easy to measure. Either the phone rang or it did not.
King was not new to building things. He had launched an e-commerce clothing brand at 17, and he arrived at Master Scaling with a founder’s instinct for following the numbers wherever they led. Over time, the numbers started pointing somewhere unexpected.
The Search After the Ad
The pattern showed up across client after client. A well-targeted campaign would reach the right person, and that person would do something nearly everyone does before spending money with a business they do not know. They would search for it.
What they found decided what happened next. A business with a healthy rating, recent reviews and some credible mentions converted the attention. A business with a thin, outdated or negative footprint watched the same attention leak away.
“We could put an ad in front of the right person all day,” King says. “What decided the sale was what they saw when they typed the name into Google afterward.”
That realization reshaped the firm. If the search results were where trust was won or lost, then the search results deserved as much strategy as the ads. Master Scaling began building out the work that would come to define it: editorial PR placements that gave clients credible third-party coverage, review strategy that reflected the real experience of customers, and the removal of content that violated platform rules, such as fake reviews or impersonation.
Adding AI to the Map
The next shift arrived faster. As AI assistants became a common starting point for research, buyers stopped scrolling through ten blue links and started asking a single question. Who is this person? Is this company any good? The answer came back as a confident paragraph, assembled from whatever sources the system could find.
Master Scaling responded by adding generative engine optimization, usually shortened to GEO, to its reputation work. The goal is not to trick AI systems but to make sure the material they draw from is accurate, current and substantial. Today the firm works across search, media, reviews and emerging AI platforms for businesses, entrepreneurs and public figures.
For many clients, the first audit is revealing. AI summaries can mix up people with similar names, repeat outdated job titles or lean heavily on a single old article. Correcting those inputs, through accurate profiles and credible new coverage, has become as routine at Master Scaling as fixing a bad map listing once was.
“The question used to be what shows up on page one,” King says. “Now it is also what the machine says when someone asks about you. Those two answers need to tell the same true story.”
What Stayed the Same
For all the change, King argues the firm’s core has held steady since its first local clients. The approach is still practical and still judged by outcomes. A reputation strategy that looks impressive in a report but does not change how prospects respond is, in his view, a failed strategy.
His own path has reinforced the point. A Forbes 30 Under 30 honoree, a University of Southern California alumnus who has been accepted into Columbia University, and a multiple best-selling author, King has spent years watching how credentials, coverage and consistency shape the way strangers judge a founder. Those lessons now sit at the center of what Master Scaling offers.
He describes the evolution as a widening of focus rather than a reinvention. The early work helped businesses get noticed. The current work helps make sure that what people notice is accurate and worth trusting.
“Every client still wants the same thing the first ones wanted,” King says. “They want the people looking at them to say yes. The difference now is that we understand how many places those people look before they decide.”
