The buyer journey has changed, and the rules of digital visibility have been fundamentally rewritten. For decades, brands competed for attention through search rankings, optimizing content to climb the ladder of Google’s results pages. Today, that paradigm is rapidly giving way to something more opaque and far more consequential: inclusion in AI-generated answers and LLM responses. Very often (89% in fact, according to Forrester), when in the market for a purchase buyers go straight to an LLM to get a shortlist. If you’re not visible at that point, you may never enter into consideration.
Enter Generative Engine Optimization (GEO) – the practice of ensuring brands are surfaced, cited and recommended within AI outputs. This is now emerging as a critical battleground. But what are the parameters? What drives visibility? Many reports are citing a few websites as having an outsized citation rate. You may have heard that Reddit has a huge percentage of references, for instance, but often these reports are taking all queries into account. When we started to isolate prompt responses relating to specific industries, the main drivers seemed to change dramatically, so we wanted to test that hypothesis by looking a little deeper.
As such, Marketbridge has prepared The Go-To Guide to Verticalized GEO, which looked at more than 17,000 AI citations across several key industries. From this one conclusion is clear: generic best practices are not enough. The brands that win build deeply informed, industry-specific GEO strategies grounded in how their market earns trust.
The shift from ranking to recommendation
AI assistants such as ChatGPT, Gemini and Copilot are no longer just tools, they are now primary gateways to information. Buyers increasingly rely on these systems throughout the entire decision-making journey, from discovery to evaluation and purchase.
This shift has introduced a profound change in how visibility works. Instead of ranking pages, generative engines synthesize information from multiple sources to produce a single, authoritative answer. Brands are no longer competing for clicks, they are competing to be included in the answer itself.
The implications are significant. Traditional SEO metrics like rankings and click-through rates are giving way to new indicators: share of voice in AI outputs, citation frequency and inclusion prominence.
The myth of the universal playbook
For years, digital strategy has leaned on standardized best practices: optimize keywords, structure content, build backlinks. While many of these tactics still matter, the research reveals a critical flaw in applying them universally to AI visibility.
Generative engines do not evaluate credibility uniformly. Instead, they apply different trust signals depending on the industry, the complexity of the topic and the risk associated with the decision.
In other words, what works in SaaS does not work in healthcare. What drives visibility in cybersecurity is fundamentally different from what earns trust in financial services.
This is the central finding: there is no universal GEO playbook.
Data reveals a fragmented trust landscape
Our cross-industry analysis uncovered clear structural differences in how AI systems assemble answers.
Earned media such as journalism and trade press, consistently outperformed paid media across every sector. But beyond that, the weighting of sources varied dramatically.
For some industries analyst firms like Gartner and Forrester, play an outsized role, shaping how AI systems interpret vendor credibility, in others clear case studies are king and analysts have very limited impact.
These differences point to a deeper reality: AI systems are not just aggregating information they are modeling how trust works within each industry.
Why smaller brands now have an edge
One of the more surprising findings is the opportunity this creates for emerging players.
Historically, large brands benefited from entrenched authority in search rankings. But generative engines prioritize different signals; recency, thematic depth and cross-source validation, which can level the playing field.
A smaller company with well-structured, highly relevant and widely corroborated content can outperform a larger competitor that relies solely on brand recognition.
In this environment, credibility is constructed dynamically, not inherited.
From content creation to signal engineering
To succeed in GEO, brands must rethink their approach entirely. The goal is no longer just to produce content, it is to engineer signals that AI systems interpret as trustworthy.
This includes:
- Building deep, topic-specific authority rather than broad, shallow coverage
- Ensuring claims are repeated and validated across multiple credible sources
- Aligning messaging consistently across owned, earned and third-party channels
- Structuring content in ways that are easily parsed and cited by AI systems
In practice, this means moving away from volume-driven content strategies toward precision and coherence.
A cross-functional imperative
Perhaps most importantly, GEO cannot exist in a silo.
Our analysis highlights that visibility in AI outputs is the result of multiple disciplines working in concert: PR builds third-party credibility, SEO ensures discoverability, content teams create citable assets, and analysts and partners reinforce authority.
Organizations that treat GEO as a technical add-on risk missing the bigger picture. The real advantage lies in orchestrating these functions around a unified strategy.
Measurement must evolve
As the mechanics of visibility change, so too must the way it is measured.
Traditional metrics like rankings and traffic are no longer sufficient indicators of influence. Instead, leading organizations are beginning to track:
- Inclusion rate in AI-generated answers
- Frequency of citation across prompts
- Relative prominence within responses
- Share of voice compared to competitors
These metrics reflect a new reality: Though influence was once about being found, now moreover it’s about being featured.
Competitive advantage is being rewritten
The rise of generative engines represents more than a technological shift; it is a redefinition of how markets are understood and won.
AI systems are increasingly shaping perception, framing categories and influencing decisions before a buyer ever visits a website. Brands that fail to appear in these synthesized narratives risk becoming invisible at the very moment decisions are made.
Conversely, those that invest early in industry-specific GEO strategies have an opportunity to shape how their category is defined.
The bottom line
Everyone is talking about Generative Engine Optimization (GEO) and what it takes to maximize brand visibility in AI-generated answers. There is no shortage of generic best-practice advice, structure your content, build authority, optimize for semantics etc.
But there is one critical truth many are overlooking: industry-specific strategy is what actually moves the needle.
Our analysis of more than 17,000 AI citations across several key industries shows that generative engines do not apply a universal logic when determining which brands to cite. Instead, they rely on distinct, sector-specific trust signals, whether that’s analyst validation in cloud, practitioner communities in cybersecurity or regulatory clarity in healthcare.
In practice, this means that applying broad GEO tactics without accounting for industry nuance will only deliver marginal gains. True visibility comes from aligning your content, credibility signals and distribution strategy with the way trust is constructed in your category.
GEO has been misconstrued as just an evolution of SEO. However what we’re seeing is a shift toward precision over generalization, where brands must understand not only how AI systems work, but how their specific industry is interpreted by those systems.
The takeaway is simple but consequential: the brands that win in AI search will not be those that follow generic best practices, but those that build deeply informed; industry-specific GEO strategies grounded in how their market earns trust.
Marketbridge’s new report, The Go-To Guide to Verticalized GEO, provides a data-backed examination of why, what and how industry-specific plays beat generic best practices when it comes to maximizing brand visibility in AI-generated answers.
Want to go deeper? Attend our live webinar on June 9 at 11 AM ET / 4 PM BST for a deeper discussion of the research behind this report and a practical look at how brands can adopt industry-specific plays to improve visibility in AI-generated answers. Register for our June 9 webinar.
