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Burson Research Highlights Gap Between Visibility and  Believability in Generative Engine Optimization 

Burson Research Highlights Gap Between Visibility and  Believability in Generative Engine Optimization 

Burson, the global communications agency purpose-built to create value for clients  through reputation, released The Credibility Paradox, a new report showing that there is a variance in how  AI-generated answers about brands and companies are believed by audiences. The original research and  findings advance the conversation around Generative Engine Optimization (GEO) from a technical exercise  focused mostly on visibility and sources cited to a strategic reputation opportunity centered on believability. 

“In today’s zero-click world, LLMs have become the new gatekeepers of reputation – how brands are discovered  and evaluated. But visibility is not credibility,” said Corey duBrowa, CEO, Burson. “AI synthesizes, summarizes  and delivers information directly to audiences. Showing up in these LLMs is necessary but not sufficient. Our  role is no longer just to make clients visible, but to build an evidence ecosystem so robust that the answers AI  constructs are believable to the audiences that matter most. This research is our playbook for turning the  credibility paradox into a competitive advantage.” 

Burson partnered with Profound, a leading AI marketing platform, to field thousands of reputation-related  answers across seven major AI answer platforms, evaluating 85 companies across the eight levers of Burson’s  Reputation Capital framework: Innovation, Creativity, Workplace, Products, Financial Performance, Governance,  Citizenship and Leadership. Responses were assigned a believability score for three audiences including  General Population, Opinion Elites, and Business Decision Makers using Burson’s proprietary Decipher tool,  developed with cognitive AI company Limbik, producing more than 55,000 believability forecasts in total. 

Key Findings 

AI rewards proof, not positioning. Fact-based claims tied to innovation, products and workplace  culture consistently outperformed those tied to what might be perceived as more subjective qualities like  leadership, governance and citizenship. This underscores a strong mix of earned, owned and social  content for GEO, as AI places the greatest weight on independent corroboration from media coverage,  reviews and conversation. 

Workplace is an underused credibility lever. As demonstrated in Burson’s Global Reputation  Economy research, Workplace is a consistently underleveraged lever in building reputation capital, and  LLMs are no exception. Workplace-related answers are the most believable among the general  population, a finding consistent with LLMs’ reliance on independently verifiable sources like talent  platform reviews, labor reporting and earned media.

Leadership is AI’s toughest credibility test. Responses to leadership-related prompts consistently  ranked among the least believable across every industry studied. The industries that scored higher – Aerospace and Technology – shared a common thread: The underlying proof came from governance  structures, business performance and external validation, not executive messaging alone. 

Believability varies by audience. A narrative that appears credible in an AI answer may not land  equally with customers, investors, employees or regulators. Business decision makers rated AI generated answers +10% more believable on average than the general population, with more  specialized audiences more receptive to innovation-led narratives and the business context behind  them. Audience-specific GEO analysis is essential. 

The findings inform a framework Burson has developed to help clients build and protect reputation across AI  surfaces. Rather than addressing earned media, owned content and social engagement strategies as separate  workstreams, the framework approaches them holistically to cultivate an ecosystem of independent, credible  voices whose coverage and commentary reinforce that narrative over time. Burson further integrates language  and market-specific nuances to help companies navigate reputation issues across regions and cultures. 

“Across APAC, much of the conversation around AI has centered on whether brands appear in AI-generated  answers, while far less attention has been given to whether those answers are accurate, credible, and  believable. That is the gap our report addresses,” said Red Surtida, APAC Head of Intelligence &  Transformation. “As AI becomes an increasingly influential layer between companies and their stakeholders, it  is shaping not only how brands are discovered, but also how they are understood and evaluated. The real  opportunity for organizations is not simply to secure share of answer, but to ensure those answers are grounded  in evidence, backed by credible sources, and believable to the audiences that matter most.” 

“GEO began as a visibility challenge quantified by audit reports,” said Steve Rubel, EVP, Media Insights &  Measurement, Burson. “The data from this study makes clear it has become something more consequential: a  test of whether the reputation a company has earned in the real world is legible, corroborated and believable in  the AI-mediated environments where audiences are increasingly forming their opinions. Our framework gives  communicators a practical path forward and establishes GEO as a new domain in reputation management.” 

The full report is available at www.bursonglobal.com/BeyondGEO. 

Read also: The UGC Revolution: How Brands Are Building Content Engines Without Studios

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