From Noise to Narrative: Building Reputation in AI-Dominated Search and Discovery Environments
Uri Samet. Journal of Emerging Technologies and Innovative Research, 12(8), e35–e49, 2025
In short…
A review of how online reputation changes when large language models and generative search decide what people see, replacing lists of links with AI-written summaries.
Drawing on computer science, communication, psychology and marketing, it shows how established trust signals now work to earn algorithmic trust, making AI systems the first judges of credibility.
It covers generative engine optimization, digital PR, algorithmic bias and AI hallucination, and concludes that reputation is now shaped by social and algorithmic forces together.
- Online Reputation
- Generative Search
- Large Language Models
- Generative Engine Optimization
- Digital PR
- Algorithmic Trust
- Journal
- Journal of Emerging Technologies and Innovative Research
- Issue
- Volume 12, Issue 8, pages e35–e49
- Published
- August 2025
Cite
Samet, U. (2025). From Noise to Narrative: Building Reputation in AI-Dominated Search and Discovery Environments. Journal of Emerging Technologies and Innovative Research, 12(8), e35–e49. https://doi.org/10.56975/jetir.v12i8.568287