How Ali Raza built AceIt Agency on a simple bet: AI recommends the brands the press already trusts

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For most of the last decade, getting found meant one thing. You optimized for Google, you climbed the rankings, and you hoped a buyer clicked your link out of the ten they were shown. That world is quietly closing. More and more, people do not scroll a list at all. They ask ChatGPT, Perplexity, or Google’s AI Overviews a question, and they take the single answer it hands back.

That shift changes the stakes for every business. When an AI system names one company instead of listing ten, the businesses it does not mention are not on page two. They are simply absent. And the uncomfortable question underneath it all is this: how does the AI decide who to name?

Ali Raza built his agency around an early answer to that question.

The founder who saw the split

Raza started on the SEO side of digital marketing, and something about the industry bothered him from the beginning. Businesses treated two problems as if they were unrelated. They hired one team to chase search rankings and a different team to chase press, and the two rarely spoke to each other.

“Being discoverable and being trusted were never two separate goals,” Raza says. “They are the same goal. I could never understand why the industry kept solving them in separate rooms.”

AceIt Agency began as a public relations firm. That same conviction is what later pushed Raza to extend it into search, folding SEO into the same room once it was clear the two belonged together rather than in separate hands. Running trust and discoverability as one connected system started as a philosophy. In the AI era, it reads more like a forecast.

The bet, stated plainly

Here is the wager. Artificial intelligence does not learn who to trust from advertising. It learns from what already exists across the public record: the articles, interviews, quotes, and third-party coverage that credible outlets have published. Those are the sources these systems are trained on and draw from when they assemble an answer.

Which means the brands the press already trusts are the brands an AI is most likely to surface.

Earned media, in Raza’s view, is no longer just about reaching people. It has become one of the ways machines learn who deserves to be taken seriously.

“A company can say it is the best in its category all day long,” Raza says. “That is marketing, and everyone discounts it. But when a respected publication says it, that is a different kind of signal. It is exactly the kind of signal these AI systems weigh when they decide who is worth mentioning.”

Why press coverage does the heavy lifting

This is where public relations stops being a nice-to-have and starts being the engine.

The value of earned coverage has always been third-party validation. A brand describing itself is one thing. A credible, independent outlet describing it is another, because the trust belongs to the source, not the subject. For years, that validation mattered mostly because humans respected it. Now it matters twice, because the systems people rely on to filter the world respect it too.

Raza is careful not to overstate the mechanics. He does not claim that a single feature guarantees an AI will recommend you. What he argues is more grounded and, frankly, harder to dispute: businesses with a strong, credible footprint across trusted publications are simply more likely to be recognized as legitimate by the tools that now shape buying decisions. It is a matter of probability, not magic.

“You are not gaming anything,” he says. “You are building a real reputation in the places that real reputations get built. The AI is just reading the same record everyone else can read.”

Where search visibility fits

If press coverage is the foundation, search is the amplifier that sits on top of it.

In Raza’s model, the two compounds. A meaningful placement builds authority, and that authority strengthens how a business ranks and gets found. Stronger visibility, in turn, tends to open the door to more coverage. One side feeds the other, and over time the effect accelerates in a way that disconnected services never manage. He calls the combined approach the AceIt Inbound Engine, but the underlying idea is simpler than the name suggests: credibility and discoverability should be built together, because they were always the same job.

What it means for business owners

The practical takeaway is a change in how leaders should think about the press.

For a long time, coverage was treated as a vanity spike. You landed a feature, you shared it on LinkedIn, and the glow faded in a week. Raza’s argument is that this is the wrong frame now. Earned media has become the credibility layer that AI reads, which means it keeps working long after the day it publishes.

The competitive edge in this next chapter, he believes, will not belong to whoever spends the most on ads. It will belong to whoever has built the strongest, most credible presence across the sources that both people and machines trust.

“Attention can be bought, and it disappears the second you stop paying for it,” Raza says. “Trust is earned slowly, it compounds, and once a business genuinely has it, it does not evaporate. My whole bet is that AI is quietly rewarding the companies that built the real thing.”

It is a bet that Ali Raza, who started by questioning why credibility and visibility were ever separated, now looks well positioned to have made early.