For more than a century, public relations has adapted to every major shift in how information spreads.
When Boston’s Publicity Bureau was founded in 1900, public relations largely meant helping organizations navigate newspapers and journalists. A few years later, Ivy Lee’s 1906 Declaration of Principles established transparency, accuracy, and timely communication as foundational ideals for the profession. Those principles still matter today, even as nearly every communications channel has changed around them.
Since then, every technological revolution has reshaped how organizations build trust and influence. Radio introduced mass broadcasting. Television transformed storytelling through visuals. The internet created global publishing. Search engines changed discoverability. Social media rewarded engagement, conversation, and shareability.
Every technological shift has changed the tools of public relations. None changed its mission. The profession has always been about influencing what people know, what they believe, and ultimately, what they remember.
Artificial intelligence isn’t just another communications technology. It’s another communications revolution.
For the first time since the rise of search engines, millions of people are increasingly asking machines to interpret the internet on their behalf rather than exploring it themselves.
Increasingly, AI systems are becoming intermediaries between organizations and audiences. Instead of pointing users to ten possible answers, they increasingly attempt to synthesize a single useful response.
That subtle behavioral change has significant implications for communications professionals.
For years, marketers asked, “Can someone find our company?”
Today, an equally important question is emerging:
Can an AI confidently recommend it?
I believe that may become the defining communications question of the next decade.
Answering that question requires more than producing content or earning media coverage. It requires understanding how credibility is accumulated, how reputation compounds across many public signals, and how organizations become memorable over time.
Public relations has always shaped market perception.
Now it is increasingly shaping what AI systems can confidently explain.
AI Didn’t Replace Search. It Changed Discovery.
Traditional search engines encouraged exploration. Someone searched for a topic, reviewed several websites, compared perspectives, and formed a conclusion. Search served as a directory that helped users evaluate information on their own.
Generative AI changes that interaction.
Whether someone uses ChatGPT, Claude, Gemini, Perplexity, or Google’s AI-powered search experiences, the behavior is increasingly conversational rather than navigational. Users ask questions in natural language and expect synthesized answers rather than lists of links. Google’s introduction of AI Overviews reflects this broader evolution toward AI-assisted discovery rather than traditional keyword search (Google Search Central: AI Overviews: https://developers.google.com/search/docs/appearance/ai-overviews). OpenAI has similarly positioned ChatGPT Search as a way to provide direct, conversational access to web information (OpenAI, “Introducing ChatGPT Search”: https://openai.com/index/introducing-chatgpt-search/).
This shift is not about laziness.
It’s about delegation.
People increasingly ask AI to perform the first stage of research so they can spend more time evaluating the recommendation rather than assembling it. AI serves as an initial filter, organizing publicly available information into something easier to consume.
That changes what communications must accomplish.
Being discoverable remains important. Being explainable becomes equally important.
Earned Media Is Becoming AI Evidence
Public relations has traditionally measured success through coverage, impressions, share of voice, backlinks, or website traffic. Those metrics still matter, but they increasingly contribute to something larger.
Every credible piece of public information becomes another signal that helps establish context.
A respected media interview, a conference keynote, original research, a customer case study, an executive podcast appearance, an industry award, or a technical white paper each contributes evidence about an organization’s expertise and reputation. None of these assets exists in isolation. Together they create a public record that others, including AI systems, can reference when synthesizing information from multiple sources.
This distinction is important.
It would be inaccurate to suggest that a single press release or media mention somehow “trains” an AI model. Instead, AI systems frequently retrieve, evaluate, and synthesize publicly available information from trusted sources when generating responses. Public relations contributes to that broader body of corroborating evidence.
Google’s guidance for creating helpful, reliable, people-first content emphasizes expertise, trustworthiness, and evidence-backed information rather than content created solely to manipulate rankings (Google Search Central: Creating Helpful Content: https://developers.google.com/search/docs/fundamentals/creating-helpful-content).
Seen through that lens, earned media becomes more than awareness.
It becomes evidence.
The goal is no longer one article.
The goal is an accumulated body of credible proof.
Market Memory
This is where I believe the profession is undergoing its most significant strategic shift.
I call it Market Memory.
It’s the framework I’ve found myself using to explain why some companies seem to become the obvious answer while others, often equally capable, slowly disappear from conversation.
Market Memory is not awareness. It is not impressions. It is not brand recall alone.
Market Memory is what a market collectively remembers to be true. (Evan White PR blog: https://www.evanwhitepr.com/blog/market-memory-is-the-new-seo)
Ask someone to name the leading CRM platform, and many will immediately answer Salesforce. Ask about search engines, and Google dominates public memory. Ask founders about CRM software for startups, and HubSpot often comes up.
Those associations represent years of accumulated evidence, experience, conversation, media coverage, customer success, analyst reports, executive visibility, product performance, and cultural reinforcement.
They are memories held collectively by a market.
AI does not create those memories.
In many ways, AI behaves less like an author than a mirror. It reflects what the public record consistently indicates is true.
Increasingly, it reflects them.
That distinction matters because it shifts how we think about communications strategy. AI responses are often strongest when they can synthesize consistent signals from multiple credible public sources. Organizations with stronger market memory tend to generate more consistent public narratives because the evidence supporting their reputation already exists.
Trust has always been the foundation of influence, and the 2025 Edelman Trust Barometer continues to show that trust remains a decisive factor in how people evaluate organizations and leaders (Edelman Trust Barometer 2025: https://www.edelman.com/trust/2025/trust-barometer).
Looking back, public relations has always been in the memory business. Press coverage, analyst reports, conference stages, executive visibility, customer success stories, they weren’t isolated tactics. They were all ways of helping a market remember.
For over five decades, communicators have shaped what customers, investors, journalists, analysts, and employees remember about organizations.
Now those same accumulated memories increasingly influence what AI systems can confidently communicate.
That may become one of the profession’s most important responsibilities.
The Reputation Graph
Reputation rarely comes from a single event.
It emerges from relationships among many signals.
One media article has value. Twenty interconnected public signals create something much more durable.
Imagine you’re evaluating two cybersecurity companies you’ve never heard of.
You ask an AI assistant which vendor appears more credible.
For the first company, it finds a few marketing pages and a product website.
For the second, it uncovers executive interviews, customer case studies, conference presentations, independent media coverage, analyst mentions, technical documentation, podcast appearances, research reports, and a consistent public narrative across multiple trusted sources.
The recommendation suddenly feels obvious.
None of those individual assets earned the recommendation on their own. Together, they created enough corroborating evidence to reduce uncertainty.
The strength of that graph comes from consistency.
Every independent signal helps validate another. Every corroborating source reduces uncertainty. Every additional piece of public evidence strengthens the overall picture.
Google’s long-standing emphasis on experience, expertise, authoritativeness, and trustworthiness reflects this broader principle that quality emerges from consistent, credible signals rather than isolated content (Google Search Central: Creating Helpful Content: https://developers.google.com/search/docs/fundamentals/creating-helpful-content).
Reputation doesn’t simply accumulate.
It compounds.
Evidence Marketing
If AI changes how people discover information, it also changes what kind of marketing becomes most effective.
For decades, marketing has been built around making claims.
Evidence Marketing is built around proving them.
That distinction may become one of the defining competitive advantages of the AI era.
Every organization has a story to tell.
The organizations that stand out increasingly have evidence to support it.
Instead of saying your platform saves time, publish customer outcomes. Instead of claiming innovation, demonstrate research, deployments, measurable results, or independent validation. Instead of relying solely on advertising, invest in case studies, conference presentations, executive thought leadership, transparent reporting, analyst coverage, and earned media.
Evidence doesn’t replace storytelling. It makes the story believable.
Every piece of evidence increases credibility.
Advertising rents attention.
Evidence compounds trust.
Evidence also has a much longer shelf life than campaigns.
A successful advertisement eventually fades. A respected research report, conference presentation, customer success story, or media interview can continue reinforcing an organization’s credibility for years.
The campaign ends.
The evidence remains.
A successful advertisement eventually disappears. A credible research report, customer success story, conference presentation, or respected media interview may continue contributing to public understanding long after publication.
As AI systems increasingly retrieve and synthesize corroborated public information, evidence becomes more valuable because it is drawn from multiple independent sources rather than from a single promotional message. Anthropic’s research has consistently emphasized the importance of reliable reasoning and trustworthy information when developing advanced AI systems (Anthropic Research: https://www.anthropic.com/research).
The strongest communications strategies of the AI era won’t be measured by how much content they produce.
They’ll be measured by how much credible evidence they accumulate.
The New PR Funnel
All of these ideas ultimately point toward a different communications model.
For decades, marketers visualized success through a familiar funnel:
Awareness.
Interest.
Consideration.
Purchase.
That framework still has value, but AI-driven discovery suggests another sequence is emerging.
First comes Visibility.
An organization must exist across credible public sources.
Then comes Credibility.
The available information must consistently support its expertise.
Next comes Memory.
The market develops stable associations that become widely recognized over time.
Only then does Recommendation become possible.
Whether the recommendation comes from a customer, an analyst, a journalist, or an AI assistant depends on accumulated confidence built through evidence and memory.
Finally comes Advocacy, where customers, employees, partners, and communities independently reinforce those same narratives.
This isn’t a replacement for traditional public relations.
It’s an evolution of it.
Every previous section leads naturally to this point because visibility creates credibility, credibility builds memory, memory enables recommendation, and recommendation generates advocacy.
The funnel has changed because discovery has changed.
Public Relations Has Entered the Era of AI Memory
Communications has reinvented itself before.
Radio expanded audiences.
Television transformed storytelling.
The internet democratized publishing.
Search reorganized information.
Social media accelerated participation.
Artificial intelligence introduces another transition, not because it replaces communications, but because it changes how people access knowledge in the first place.
The organizations that thrive in this new environment will not necessarily publish the most content. They will build the strongest body of public evidence. They will invest in trust instead of noise. They will create a reputation that compounds rather than campaigns that disappear.
Public relations has always shaped what people know.
Increasingly, it also shapes what machines can confidently explain.
That makes this moment less about artificial intelligence than about the long-term accumulation of trust, credibility, and collective understanding.
For more than a century, public relations has helped organizations become known.
The next century may belong to the organizations that become impossible to forget.
For more than a century, public relations has shaped what markets know.
The next century will be defined by what markets, and increasingly AI, remember.
Public relations isn’t entering the era of AI.
It’s entering the era of AI Memory.
Author: Evan White, https://linkedin.com/in/yourfriendevan, https://evanwhitepr.com
