Managing Your Brand’s Reputation with Large Language Models

What Does “Managing Your Brand's Reputation with Large Language Models” Talk About?

This episode of the Online Reputation Management Podcast features James Dooley and Kasra Dash tackling one of the most pressing emerging challenges in digital marketing: how brands, celebrities, and agencies can manage and shape their reputation inside large language models like ChatGPT, Google Gemini, and Claude. The conversation opens by addressing the growing trend of users treating AI tools as search engines, and the real risks that arise when LLMs surface outdated, negative, or simply inaccurate information about a brand or individual. The hosts frame this as a proactive challenge that requires immediate attention rather than a reactive fix.

The episode walks through a practical set of strategies for influencing how LLMs perceive and describe a brand. James Dooley introduces the concept of power posts — strategically placed guest posts on third-party websites, optimised to rank highly in search so that Bing, Google, and ultimately LLMs pull positive information first. Kasra Dash adds the importance of visual content, explaining that distributing 150 to 200 professionally taken photographs can replace negative or inaccurate images that LLMs might otherwise use. The hosts also cover the role of listicles, brand mentions, and YouTube video captions as silent but powerful training signals that shape what AI models learn and repeat about your brand.

The episode closes with a forward-looking argument: the brands that feed LLMs the right signals today will benefit from compounding positive mentions in AI-generated content for years to come. James Dooley explains that appearing in future AI-written listicles and write-ups leads to free backlinks and branded mentions, making early action a form of long-term reputation insurance. Listeners are directed to the Fat Rank team at fatrank.com for hands-on support.

“If someone has negative sentiment inside LLM outputs, you must begin suppressing it by flooding the ecosystem with positive information.”

— James Dooley

Who Are the Guests on “Managing Your Brand's Reputation with Large Language Models”?

James Dooley is a well-known figure in the SEO and lead generation space, recognised for his expertise in search engine optimisation, digital marketing strategy, and online reputation management. He is associated with Fat Rank, a team that provides ORM and SEO services for brands and clients looking to control their digital presence across search engines and AI platforms. Throughout this episode, James draws on deep technical knowledge of how LLMs ingest web content, explaining concepts like power posts, tier-two link building, and semantic optimisation in practical, actionable terms.

Kasra Dash is a digital marketing and SEO professional who co-hosts and contributes strategic insight throughout the episode. Kasra brings a complementary perspective on the visual and multimedia dimensions of LLM reputation management, covering everything from professional photography distribution to YouTube caption data as AI training signals. Together, James and Kasra represent the Fat Rank team's approach: combining technical SEO methodology with a forward-thinking understanding of how AI systems consume and replicate online content.

What Are the Key Takeaways From “Managing Your Brand's Reputation with Large Language Models”?

Here are the key points discussed in this episode:

• Creating strategically placed and well-optimised power posts on third-party websites is one of the most effective ways to push positive information about your brand to the top of search results, which directly influences what LLMs surface.
• Replacing negative or unflattering images with a large volume of professionally shot photographs distributed across the web gives LLMs accurate visual data to associate with your brand, reducing the risk of AI-generated misrepresentation.
• Securing your brand's placement inside listicles that rank above competitors is critical because people now ask LLMs questions like who is the best service provider in a given area, and the models repeat whichever names appear most prominently.
• YouTube video captions are a frequently overlooked but powerful signal stream, as many LLMs ingest caption data and pick up brand names, locations, and entities mentioned in video content.
• Taking a proactive rather than reactive approach to LLM reputation management is essential because positive brand mentions established today will compound into free backlinks and AI-generated endorsements well into the future.

“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.”

— James Dooley

Is “Managing Your Brand's Reputation with Large Language Models” Worth Listening To?

This episode is worth listening to because it translates a genuinely new and complex challenge — brand reputation inside AI systems — into clear, immediately actionable steps. Rather than staying at a theoretical level, James Dooley and Kasra Dash give specific tactics: create power posts, commission and distribute large batches of professional photography, get into ranked listicles, and leverage YouTube captions. Each recommendation is grounded in how LLMs actually work, specifically how they scrape indexed web content and use ranking signals to determine which information to surface and repeat. That makes this episode rare: it is both technically credible and practically useful.

What makes this episode especially valuable is its forward-looking framing. The hosts are not just talking about fixing today's AI search results — they are making the case that the content and mentions you build now will shape how AI-generated articles and recommendations describe your brand for years to come. For anyone managing a personal brand, running a digital agency, or responsible for a company's reputation, that long-term compounding argument is a compelling reason to act now. The episode is concise, jargon is explained clearly, and the Fat Rank team's real-world experience with ORM gives the advice credibility that purely theoretical content often lacks.

Who Should Listen to “Managing Your Brand's Reputation with Large Language Models”?

This episode is ideal for:

• Digital marketing professionals and SEO practitioners who want to extend their reputation management strategies into AI-driven platforms
• Business owners and entrepreneurs concerned about how their brand appears when potential customers query ChatGPT, Gemini, or Claude
• PR and communications professionals managing the public image of celebrities, executives, or high-profile brands in an AI-first media environment
• Agency owners and consultants who need a structured framework for offering LLM reputation management as a service to their clients

Where Can You Listen to Online Reputation Management Podcast?

You can listen to Online Reputation Management Podcast on all major podcast platforms:

• Apple Podcasts – Search for “Online Reputation Management Podcast” in the Podcasts app
• Spotify – Available on Spotify for free
• Amazon Music / Audible – Listen through your Amazon account
• Overcast – For iOS users who prefer a dedicated podcast app
• Pocket Casts – Cross-platform podcast player

You can also subscribe using the RSS feed: https://feeds.transistor.fm/online-reputation-management-podcast

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