For decades, visibility was largely a search problem.
Organizations invested heavily in websites, content strategies, search optimization, digital advertising and analytics to ensure they could be found when stakeholders were looking for information.
Today, a new shift is underway. Increasingly, people are not searching for answers. They are asking for them.
Whether evaluating a company, researching an industry trend, exploring a new product or seeking professional advice, stakeholders are turning to generative AI platforms as a source of information, recommendations and perspective.
As a result, a new discipline has emerged: Generative Engine Optimization (GEO). Yet many organizations are approaching GEO the wrong way. They are simply treating it as a technical exercise akin to SEO, when it is increasingly a communications, reputation and authority challenge.
The next phase of GEO will not be won by organizations that simply create more content. It will be won by organizations that build more trust.
The first wave of GEO focused primarily on visibility. Could a company appear in AI-generated responses? Would an organization's website be cited? Could specific messages or content be surfaced within AI platforms?
Those questions remain important. But the conversation is rapidly evolving.
Today, communications leaders must ask broader questions:
These questions represent the transition from GEO 1.0 to GEO 2.0. The focus is no longer simply visibility. The focus is credibility.
One of the most significant developments over the past year has been the growing body of research examining what information AI systems actually use when generating responses.
Recent research from Muck Rack analyzed more than 25 million links cited across leading AI platforms and found that approximately 84% of AI citations originate from earned sources. Journalism alone accounted for roughly 27% of all citations, while paid and advertorial content represented only a fraction of citations.
That finding should get the attention of every communications leader. Despite concerns that AI would bypass traditional media, the opposite appears to be happening. The systems increasingly rely upon signals associated with authority, expertise and credibility.
As Muck Rack CEO Gregory Galant recently noted:
"Over a year of research and 25 million links across three studies, we expected AI citation behavior to shift as models updated and retrained, which is the nature of the technology. But earned media has held between 82 and 89 percent across every edition."
He continues:
"At this point the data is telling us that these models are built to think the way journalists do, citing the most credible, authoritative source they can find."
That insight may be one of the most important developments for the communications profession.
The same activities that have historically built reputation—thought leadership, media relations, expert commentary, credible storytelling and authoritative content—are increasingly influencing how AI systems understand and describe organizations.
In many ways, reputation has become infrastructure.
Many organizations initially assumed GEO would become the responsibility of SEO specialists, digital teams or technology functions. While those capabilities remain important, emerging industry guidance suggests a broader perspective.
Recent work from AMEC, the International Association for Measurement and Evaluation of Communication, argues that effective GEO requires organizations to evaluate three interconnected areas:
This is a significant shift.
Rather than focusing exclusively on optimization tactics, organizations must understand the broader ecosystem shaping AI-generated responses.
That ecosystem includes:
In short, the inputs that shape AI outputs are largely communications assets. The quality of those inputs increasingly determines how organizations are represented in AI-powered environments.
The question, then, isn't simply how organizations optimize for AI. It's what creates lasting authority in an AI-driven marketplace.
At the G&S Integrated Marketing Communications Group (GS IMCG), we've been exploring what comes after GEO as part of our broader work on the Narrative Operating System. This is the idea that organizations increasingly compete not only through the products they sell, but through the strength, consistency and credibility of the narratives that surround them.
Within that framework, “Brand Gravity” is the cumulative force created when an organization consistently contributes credible expertise, trusted relationships, authoritative content and distinctive perspectives to the marketplace.
Strong Brand Gravity doesn't simply improve visibility. It increases the likelihood that customers, journalists, analysts, partners (and increasingly AI systems) recognize an organization as an authoritative and trustworthy source.
In that sense, GEO becomes one expression of Brand Gravity, rather than the destination itself.
The implications are significant. Organizations should certainly optimize their websites, structure their content for AI discovery and monitor how they're represented across generative platforms. But the organizations that will ultimately stand apart will be those that invest in the broader drivers of authority: thought leadership, expert voices, credible research, trusted media relationships, compelling storytelling and a consistent narrative that earns recognition over time.
That's why we believe the conversation is moving beyond optimization alone. As AI continues reshaping how information is discovered and interpreted, the real competitive advantage won't come from gaming algorithms. It will come from building the kind of credibility and authority that both people and AI naturally recognize, trust and recommend.
As AI continues reshaping information discovery, leadership teams should consider five questions:
1. What information is AI using to describe us?
Understanding source visibility is becoming as important as understanding media coverage.
2. Are our experts visible?
AI systems frequently rely on authoritative voices and subject matter expertise when constructing responses.
3. Is our content structured for discovery?
Accuracy, accessibility and clarity matter more than ever.
4. Where are our narrative gaps?
Organizations often discover AI is filling gaps with outdated, incomplete or third-party information.
5. Are we measuring the right things?
Visibility alone is insufficient. Representation, sentiment, authority and trust matter just as much.
Every major communications shift eventually returns to a familiar truth. Technology changes. Human behavior evolves. Platforms come and go. Trust remains.
The organizations that will lead in the AI era won't necessarily be those that publish the most content or chase every new optimization tactic. They'll be the organizations that consistently earn authority, contribute meaningful expertise and build trust over time.
That's why GEO 2.0 isn't really about search. It's about reputation. It's about authority. And ultimately, it's about trust.
In an AI-driven world, trust may become the most valuable visibility strategy of all.