PR in the Age of AI: The New Battleground for Brand Visibility

There's a shift happening in how people make decisions, and most PR teams are still catching up to it. Not because they're not doing good work, but because the goalposts moved faster than anyone anticipated.

Think about how someone researches a financial product today. A few years ago, they'd Google it, scan the first page of results, maybe click a couple of links. Today, a growing number of them open ChatGPT, type a question, and accept whatever synthesis comes back as a reasonable answer. No second page. No link-clicking. Just an answer. And whoever shows up in that answer, or doesn't, is increasingly a function of how well a brand has built its credibility across the entire digital ecosystem, not just its website.

This is the terrain PR professionals now operate in, and it demands a sharper, more integrated strategy than most of us were trained for.

The numbers make the scale of this shift hard to ignore. According to a G2 Answer Economy report, 51% of B2B buyers now start their research with an AI chatbot more often than with Google, and 80% of technology and software buyers use AI tools as much or more than search engines. For fintech, where the first question a potential user asks is almost always about trust, that's not a behavioral footnote. It's where reputation is won or lost before anyone ever visits your website.

What makes this particularly interesting for those of us in communications is that AI doesn't reward advertising spend. It rewards authority. Research has shown that AI engines strongly favor earned media, authoritative third-party sources, over brand-owned content. In other words, the core competency of PR — getting credible third parties to validate your brand — turns out to be exactly what these systems are designed to recognize and amplify. A well-placed piece in a respected financial outlet, an executive cited in an industry report, a byline in a trade publication: these aren't just impressions anymore. They're signals that teach AI systems whether your brand deserves to be recommended. 

That said, there's a new layer to this that most PR strategies aren't accounting for yet. According to research, distributing content across multiple publications increases AI citations by up to 325% compared to publishing only on your own site. It's the difference between being an expert who only speaks at their own events versus one who shows up across different stages, referenced by different people. The AI equivalent of reputation isn't a single big article; it's a consistent, distributed presence that builds over time.

And here's where social media enters the picture in a way most PR teams haven't fully processed yet. LinkedIn has become the most-cited domain for professional queries across all AI search platforms, according to research tracking 1.4 million citations from November 2025 through February 2026. A Semrush analysis of 89,000 LinkedIn URLs cited in AI responses found that the content earning those citations tends to be knowledge-sharing posts that stake a clear position, explain a mechanism, or analyze a specific finding — not general commentary. What doesn't predict citation? Engagement. A post with 15 reactions that offers genuine insight gets cited as often as one with hundreds of likes that says nothing original.

This changes how we should think about executive communications. For a fintech brand, the CEO or the vice president of product, writing thoughtfully about credit access, embedded finance, or AI risk on LinkedIn isn't just a brand-building exercise for their personal profile. It's content that feeds into the same corpus AI systems draw from when someone asks a question your brand should be answering. The line between thought leadership and search optimization is collapsing, and the PR teams that understand this will have a meaningful edge.

The same principle applies to original research and data. When a brand publishes something no one else has — a benchmark study, a unique dataset, a framework built from real experience — AI engines have a reason to cite it over a dozen lookalike alternatives. For companies like Kueski, which has built a rich dataset on how millions of Mexicans actually access credit and make financial decisions, this is a natural competitive advantage. The stories inside that data are exactly the kind of primary source material that journalists, analysts, and AI systems prioritize when forming their answers.

There's also a consistency argument that's easy to underestimate. AI systems reward clarity and consistency in language, so maintaining the same terminology across press releases, thought leadership pieces, executive interviews, and social posts helps LLMs accurately understand and categorize your brand. Messaging discipline isn't just about sounding coherent to a reporter anymore. It's now a technical requirement for how AI systems learn to talk about you.

One last thing worth confronting: most brands have no idea how they're being represented in AI responses right now. A brand may appear as the top recommendation in Gemini, be absent in ChatGPT, and be miscategorized in Perplexity — all in the same week. Only 22% of marketers currently track AI visibility at all, according to a recent Loganix report. That gap is the opportunity. The brands that start building this competency now, combining earned media strategy, consistent executive voice, original data, and distributed content, will be far ahead of competitors who wait until AI search feels more "established."

For PR professionals, this isn't a disruption of the craft. It's an expansion of the stakes. Everything we do, every story placed, every executive positioned, every narrative built, now echoes further and matters longer than it ever did before. The audience just got a lot bigger, and part of it doesn't have a name.