Search is changing. For more than two decades, brands competed for visibility through rankings, backlinks and click-through rates. Today, a growing proportion of users are discovering information through answers generated by “Artificial Intelligence” Large Language Models (LLMs), whether that’s ChatGPT, Gemini, Claude, Perplexity or Google’s own AI-powered search experiences.
This shift is subtle but significant. Instead of presenting a list of blue links for users to evaluate, AI systems increasingly synthesize information into a single response. The result is that visibility is no longer determined solely by whether a URL ranks well, it is increasingly influenced by whether a Brand, publication or source is considered trustworthy enough to be included in the answer itself.
For Digital PR professionals, this creates both a challenge and an opportunity.
The challenge is that traditional measures of success do not tell the whole story. Coverage volume, backlink totals and media reach remain valuable indicators but reveal little about how a Brand is represented within Agentic responses. A business may secure extensive media coverage and still fail to appear when an AI system recommends products, explains industry concepts or compares suppliers.
The opportunity is that many of the skills that have always sat at the heart of successful PR are still immensely relevant. Expertise, authority, trust and narrative ownership continue to matter. The difference is that these signals are now influencing both human audiences and Agentic systems at the same time.
As AI search evolves further beyond already complex Search Engine algorithms, organizations must begin thinking about earned media not simply as a reputation-building exercise but also as a mechanism for shaping how AI understands and describes their business.
Why Digital PR Matters More Than Ever
LLMs do not create information out of thin air. They assimilate patterns from vast quantities of publicly-available content and increasingly rely on authoritative sources when generating answers.
This means the articles, research, commentary and expert contributions that form part of a good Digital PR strategy can influence how AI systems perceive a brand. Every piece of coverage contributes to a wider information ecosystem that helps shape category expertise, topic associations and brand credibility.
The implications are significant.
Imagine a potential customer asking ChatGPT:
“Who are the leading CRM implementation providers?”
or
“Which companies specialize in sustainable packaging?”
The Brands that appear in those responses are unlikely to be selected at random. They are more likely to be organizations that have consistently demonstrated expertise through authoritative coverage, industry commentary, research and trusted third-party validation.
In other words, visibility increasingly depends on what the wider web says about a business, not just what a business says about itself.
This is where Digital PR becomes strategically important. Earned media helps establish the external signals that AI systems use to understand organizations, categories and expertise.
The Four Pillars of AI Visibility
Despite the emergence of new terminology such as Generative Engine Optimization (GEO), the foundations of AI visibility are surprisingly familiar. The brands most likely to be cited, referenced and recommended by Agentic systems are often those that have spent years building the signals “traditional” search engines have always valued: expertise, authority and trust.
Google’s E-E-A-T principles – Experience / Expertise / Authority / Trust – provide a useful lens through which to view this shift. AI models are increasingly tasked with answering questions confidently and accurately, which means they must draw upon sources that demonstrate genuine experience, recognised expertise and established credibility.
Rather than replacing the principles of good SEO, AI search appears to reinforce them. The difference is that these signals are no longer influencing where a Brand ranks on a page; they are increasingly influencing whether a Brand becomes part of the answer itself.
From Rankings to Recommendations
Traditional SEO has often focused on achieving visibility within Search Engine Result Pages (SERPs). AI search introduces a new competitive dynamic: recommendation visibility.
A website ranking in Position 1 remains valuable but if an “AI-overview” result sitting above it summarizes the topic without encouraging a click, inclusion within that answer becomes equally important.
Brands most likely to succeed are therefore those that build strong topical authority across multiple sources. Rather than relying on a single ranking or individual article, they create repeated evidence of expertise through research, commentary, analysis and thought leadership.
Over time, these signals reinforce a consistent narrative that both audiences and AI systems can recognise.
This shift requires a different mindset. Instead of asking, “How many links did this campaign generate?”, PR teams increasingly need to ask, “How is our brand being represented when AI systems discuss our category?”
The challenge for many organizations is knowing where to begin.
Building an AI Visibility Strategy
Remember that AI visibility is an emerging discipline. While there is growing discussion around GEO, there is no single tactic that guarantees inclusion within AI-generated answers. Instead, visibility tends to be the result of multiple factors working together over time. Brands that appear consistently within AI responses often demonstrate strong authority across a category, clear topical associations and a sustained presence within trusted sources.
For PR teams, that means moving beyond campaign-by-campaign thinking and adopting a more strategic approach to how expertise is built, reinforced and measured.
The first step is understanding your current position. Before Brands can influence how AI systems represent them, they need a clear view of how they are already being described.
- Which topics are most strongly associated with the Brand?
- Which competitors appear more frequently in AI-generated recommendations?
- Which publications and sources seem to be shaping those responses?
These questions form the foundation of an AI visibility audit and help identify both opportunities and risks.
Once that baseline has been established, attention can turn towards narrative ownership. AI systems increasingly build an understanding of organizations through repeated associations. Over time, they begin to connect brands with specific topics, industries and areas of expertise.
Brands that consistently appear in AI-generated answers are often those that have invested in owning commercially-valuable conversations rather than simply participating in them. Establishing those associations requires a deliberate approach to thought leadership, research, commentary and campaign planning.
The next consideration is where those narratives appear. Not all coverage contributes equally to AI visibility. Traditional media relations has often focused on audience reach and publication authority. While both remain important, AI systems frequently draw information from a much broader ecosystem that includes specialist publications, research organizations, industry blogs and online communities. Understanding which sources influence AI-generated answers is becoming an increasingly important part of media strategy.
Finally, website owners need a framework for measuring progress. Visibility within AI search cannot be assessed through backlinks and coverage volume alone. Brands must also understand whether they are becoming more visible within AI-generated answers, whether key messages are being reinforced and whether competitors are gaining ground in strategically important areas.
Taken together, these areas form the foundations of an effective AI visibility strategy. Brands that approach them systematically will be better positioned to influence how they are represented within AI search experiences, while those that continue to rely solely on traditional PR metrics may find themselves increasingly absent from the conversations that matter.
We’ll explore each of these areas in more detail, starting with the process of auditing AI visibility and understanding how AI systems currently perceive your brand.
