How PR Is Evolving And Why Are Most Brands Unprepared?
How PR Is Evolving And Why Are Most Brands Unprepared?
There is a version of the AI conversation happening in most marketing and PR circles right now that misses the most important part.
It focuses on tools: which platforms can draft a press release faster, which software monitors brand mentions at scale, which system can generate a media list in seconds. Those are real capabilities and they matter. But they are not the most significant thing AI is changing about public relations.
The more consequential shift is structural. AI is not just changing how PR work gets done. It is changing where brand reputation lives, how it gets built, and what it takes to be visible and credible in a landscape where AI systems are increasingly the first place buyers, journalists, and decision-makers go for answers.
Most brands have not caught up to that reality yet. The ones that do first will have an advantage that compounds over time.
/ The Shift That Changes Everything
For decades, PR was fundamentally about earned media placement: getting your brand in front of the right audiences through the right publications and platforms. That work still matters. But a new layer has emerged on top of it.
AI-powered search platforms including ChatGPT, Perplexity, Google AI Overviews, and Gemini are now where a growing share of high-intent research happens. These systems do not serve a list of links. They synthesize an answer, pull from sources they judge to be credible and authoritative, and present a conclusion directly to the user.
PR Week put it plainly: AI-generated search summaries and LLM outputs are rapidly becoming primary sources of truth for consumers, journalists, and decision-makers. ChatGPT is now the fifth-most-visited website in the world. At least 50% of Google searches now generate AI summaries rather than traditional results.
That means the earned and owned coverage that PR teams create is now a direct input into how AI systems understand a brand and what information they surface in responses. Every media placement, every bylined article, every expert citation is feeding the models that determine whether your brand shows up when buyers ask the questions that matter most in your category.
If your PR strategy was built for the previous era, it is producing less impact than you think in this one.
/ What AI Has Changed in How PR Work Gets Done
On the operational side, the changes are real and accelerating. AI tools have meaningfully shifted what PR teams spend their time on, and the professionals adapting to that shift are producing better work faster.
Research and monitoring that used to take hours now takes minutes. AI platforms can track brand mentions across thousands of sources simultaneously, identify emerging sentiment trends, and flag potential issues before they reach critical mass. For crisis communications, that early detection capability is genuinely transformative.
Media targeting has become more precise. Machine learning tools can analyze journalist coverage patterns, identify the reporters most likely to respond to a specific pitch, and help teams personalize outreach in ways that meaningfully increase placement rates. According to Muck Rack’s 2025 State of PR report, 77% of PR practitioners are already using AI tools like ChatGPT in their workflows.
Content production has accelerated. First drafts of press releases, media pitches, and executive commentary can be generated quickly, freeing PR professionals to focus on strategy, relationship-building, and the judgment calls that AI cannot make.
What AI has not changed is the part that matters most: the human relationships, the strategic thinking, the editorial credibility, and the authentic storytelling that determine whether a brand earns coverage worth having. The teams using AI effectively are the ones treating it as an accelerant, not a replacement for that work.
/ The New PR Mandate: Generative Engine Optimization
Generative Engine Optimization, or GEO, is the practice of ensuring your brand is accurately and favorably represented inside the AI systems that are increasingly mediating how your audiences discover and evaluate you.
This is not a separate discipline from PR. It is a PR strategy operating in a new environment.
AI systems cite sources based on a combination of signals: the authority and credibility of the publications that reference a brand, the clarity and structure of the brand’s own content, the consistency of its expert positioning over time, and the degree to which named individuals at the organization are recognized as credible voices in their category.
Every element of a strong PR strategy directly contributes to those signals. A placement in a credible industry publication is not just a media win. It is a citation signal that increases the probability of that brand appearing in AI-generated answers on related topics. A bylined article from a company executive is not just thought leadership content. It is entity-building infrastructure that helps AI systems understand who that person is and why they are worth recommending.
PR Daily captured the direction clearly: in 2026, brand reputation will increasingly be shaped not by what people search for but by what AI answers. Traditional SEO is giving way to GEO, and every article, interview, and expert quote feeds the models shaping tomorrow’s AI answers.
The brands cited most often by authoritative outlets are the ones most likely to appear in AI-generated summaries. That is the new PR outcome worth optimizing for.
/ Where Most Brands Are Falling Short
The gap between where AI-influenced PR is heading and where most brands currently are is significant. And the reasons for that gap are predictable.
The first is misaligned investment. Most marketing budgets still flow heavily toward paid media, with PR and earned media receiving a fraction of the same resources. In an environment where AI systems prioritize earned credibility over paid content, that allocation is producing diminishing returns.
The second is a siloed strategy. PR and content teams are often operating independently from each other and from the broader marketing program. The result is earned media that does not reinforce owned content, thought leadership that is not distributed strategically, and a brand presence that feels fragmented to both human audiences and AI systems evaluating credibility.
The third is reactive positioning. Many brands only activate PR around announcements, launches, or crises. AI systems reward consistency. A brand that publishes authoritative content and earns credible external mentions consistently over time builds citation authority that a periodic press push cannot replicate.
The fourth is underinvestment in named expertise. AI systems have a strong preference for content attributed to real, credentialed individuals over generic brand content. Brands that have not built visible, documented expert voices within their leadership teams are less likely to be cited regardless of the quality of their underlying content.
/ What Prepared Brands Are Doing Differently
The organizations navigating this shift well share a set of common practices worth noting.
- They have aligned PR and content strategy around a shared set of topic territories where they are building authority consistently over time, not reactively around the news cycle
- They are investing in executive thought leadership as infrastructure, not as occasional content, with named individuals publishing regularly and being actively positioned as sources for media coverage
- They are measuring PR outcomes beyond clip counts and impression estimates, tracking brand presence in AI-generated answers, share of voice in earned media, and the consistency with which their positioning is reflected in external coverage
- They are treating every earned media placement as a citation asset, understanding that a byline in a credible outlet today feeds the AI models that will determine brand visibility six months from now
- They have integrated their PR and marketing programs so that earned media reinforces paid campaigns, owned content earns external links and citations, and the whole system builds authority rather than operating in disconnected lanes
None of these practices require a complete reinvention of how PR works. They require applying proven PR principles with a clearer understanding of the environment those principles are operating in.
/ The Trust Problem AI Is Making Harder to Ignore
There is one more dimension of AI’s impact on PR that deserves direct attention: the trust environment it is creating.
Sprout Social’s Q1 2026 Pulse Survey found that 30% of social media users report decreased trust in digital platforms over the past year, driven significantly by the spread of AI-generated content they cannot verify. Eighty-three percent of users report seeing AI-generated content on social media that they identify as low quality or inauthentic. And 93% of consumers say brands need to do more to combat misinformation than they currently are.
For PR professionals, this is both a challenge and an opportunity. The challenge is that the information environment brands operate in is noisier, more skeptical, and more difficult to navigate than it has ever been. The opportunity is that authentic, credible, consistently sourced brand communications stand out more sharply against that backdrop than they ever have.
In an era of AI-generated everything, real expertise from real people published in credible contexts is the signal that cuts through. That is what PR has always been built to produce. The difference now is that it is feeding systems that amplify its impact at a scale the industry has never seen before.
/ Final Thought: PR Has Not Been Made Less Important. It Has Been Made More Complex.
The brands treating AI as a reason to invest less in PR strategy are making a significant mistake. The brands treating it as a reason to invest more strategically are building an advantage that will be very difficult to close.
AI has not changed what good PR accomplishes. It has changed the infrastructure through which that work creates value. Earned credibility, expert positioning, consistent narrative, authentic storytelling: these have always been the foundations of effective public relations. In 2026, they are also the primary inputs into the AI systems that shape how your brand is discovered, evaluated, and recommended.
The question for every brand leader is not whether AI is changing PR. It is whether your PR strategy has changed to reflect what AI is changing about everything else.
/ Your PR Strategy Should Be Working in Every Environment, Including This One
At Velocitas, we build integrated PR and marketing programs that are designed for the landscape that actually exists, not the one from five years ago.
If your brand is investing in visibility without building the earned credibility that AI search rewards, that is the conversation we are built to have.