Managing Your Brand's Reputation with Large Language Models - podcast episode cover

Managing Your Brand's Reputation with Large Language Models

Dec 08, 20257 minEp. 31
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Episode description

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starts with the rising trend of people treating AI tools as search engines and the risks brands face when LLMs surface outdated, negative, or inaccurate information.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.

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Transcript

James Dooley: Large language model online reputation management. If you're trying to get yourself, your brand, or a client to appear in ChatGPT, Google Gemini, or Claude, this video is for you. We're talking about how to influence LLMs for ORM. I'm joined by James. What are some tips you'd use for showing up for brand names or celebrity names? James Dooley: With feeding LLMs for AI Overviews or AI-generated content, the first thing I'd do is create power posts. A power post is a guest post on a third-party website that you're strategically trying to rank. You get semantically optimised content to rank higher, and you can even push tier-two links to strengthen those posts. The higher the ranking in search, the more Bing, Google, and therefore LLMs pull your positive info. If someone has negative sentiment inside LLM outputs, you must begin suppressing it by flooding the ecosystem with positive information. James Dooley: What else would you be doing to feed LLMs and manage online reputation? Kasra Dash: When it comes to LLMs right now, more images help. LLMs scrape the web, so anything published and indexed becomes fair game. If you have bad images like mugshots, replace them with positive ones. Hire a photographer, get 150–200 good images, and distribute them everywhere. Otherwise, when someone prompts ChatGPT to generate an image of you, it'll guess. The more visual data you put out, the more accurate the model becomes. James Dooley: Another factor is listicles. People now ask LLMs, “Who is the best carpet cleaning company in Manchester?” To appear in those lists, you need brand mentions inside listicles across the web, ideally ranking above competitors. The more listicles that place you higher, the more LLMs repeat you as the preferred choice. Kasra Dash: And YouTube videos matter too. Many LLMs ingest caption data. They hear brand names, locations, and entities. Our videos mentioning Fat Rank in Dubai or Manchester feed those models directly. If you're confident on camera, videos become an excellent signal stream for LLMs to pick up. James Dooley: The last point on ORM for LLMs: it’s not just about influencing answers today. AI-written content is exploding. If you can get your brand mentioned in 2026 listicles or future AI-generated write-ups, people who use AI tools will keep reinforcing your brand name across the web. This leads to free backlinks and free branded mentions over time. It should be proactive, not reactive. Do everything you can to maintain positive sentiment inside LLMs. Kasra Dash: That’s our video on building positive ORM inside large language models like ChatGPT, Gemini, AI Overviews, and Claude. If you want our team to do this for your brand, head to fatrank.com and fill in the contact form. Thanks for watching.
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