Managing Your Brand's Reputation with Large Language Models

Online Reputation Management Podcast

In this episode of the UK Lead Generation Podcast, James Dooley and Kasra Dash break down a fast-growing challenge in digital visibility: how to manage online reputation inside large language models like ChatGPT, Gemini, and Claude. The conversation starts with the rising trend of people treating AI tools as search engines and the risks brands face when LLMs surface outdated, negative, or inaccurate information. This sets the stage for their deep dive into what actually influences how AI systems “see” a brand today.

James Dooley and Kasra Dashwalk through the practical steps that shape AI sentiment — from power posts and high-ranking guest features to strategically replacing negative images with fresh, branded photography. They unpack how LLMs scrape the web, why higher-ranked articles have more influence, and how listicles, citations, and YouTube captions silently train these models to repeat your brand narrative. Whether you're managing a celebrity, scaling an agency, or protecting your own name, their insights reveal how proactive content creation becomes AI-driven reputation insurance.

The episode closes with a clear message: feeding LLMs the right signals now determines how they describe you in next year’s AI-generated content. The earlier you act, the more control you gain. For brands that want expert support in shaping their digital identity across search and AI, James Dooley and Kasra Dash direct listeners to the Fat Rank team for full online reputation management.