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

Based on 55,000 believability scores across 85 companies, Burson finds credibility of AI-generated responses varies significantly by audience, with business decision-makers rating answers 10% more convincing than the general population.

NEW YORK, June 2, 2026 - Burson, the global communications agency purpose-built to create value for clients through reputation, today 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.

"GEO began as a visibility challenge quantified by audit reports," said Steve Rubel, EVP, Media Insights & Measurement, Burson.[AB2.1] "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 HERE.