Burson points out the gap between ‘awareness’ and ‘credibility’ in generative AI optimization

▤ Summary

Burson released a report on the credibility gap in generative AI optimization, showing that AI visibility and trust do not always align. The study used thousands of AI responses across 85 companies and found that credibility varies by audience, with business decision-makers rating AI answers as more persuasive than the general public. The findings position GEO as a reputation-building strategy that depends on evidence, earned media, owned content, and social proof rather than visibility alone. Burson also highlights workplace reputation, leadership credibility, and regional nuance as important factors in how AI systems evaluate brands.

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