The AI Reputation Tree: Turning LLMs Into a 24/7 Sales Engine for Online Reputation Management Agencies

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What Does “The AI Reputation Tree: Turning LLMs Into a 24/7 Sales Engine for Online Reputation Management Agencies” Talk About?

This episode of the James Dooley Podcast dives deep into a new service called the AI Reputation Tree, co-created by James Dooley and Karl Hudson through their agency Searchuru. The conversation explains how the service works by mapping out every possible search query someone might use to find or research a brand, including negative ones like scam queries, and then building a network of third-party corroborative articles that respond to those queries with positive, fact-based content. The goal is to shape how large language models like ChatGPT, Claude, and Gemini describe a brand when users ask about it, effectively turning AI into a 24/7 sales engine for personal and corporate brands.

James and Karl walk through the mechanics of the AI Reputation Tree in detail, including how tools like Keyword Cupid, Query Fano, and cosine similarity analysis are used to generate approximately 250 synthetic search queries around a brand entity. They explain how these queries inform an off-page topical map, which guides the creation of articles on authoritative third-party sources. The discussion also covers entity attributes, explaining why it is not enough to simply say a brand does digital PR but also necessary to connect that brand to specific services like online reputation management through separate, targeted content efforts.

The episode also addresses how the knowledge panel and knowledge vault factor into AI retrieval, why third-party corroboration carries more weight than first-party claims, and how LLM visibility tracking tools such as Scrunch AI, Radar Care, and Local Dominator can help agencies monitor sentiment changes over time. The service is currently in a soft launch phase, with interested clients encouraged to visit searchguru.com to submit details and receive a customized report.

“for me it's about trying to get LLMs and AI to talk about you in a positive manner. So, that personal branding and corporate branding, it's trying to get AI to speak about you positively when you're not in the room. So, they can become a 24/7 sales engine for who you are and what you do and why you freaking brilliant.”

— James Dooley

Who Are the Guests on “The AI Reputation Tree: Turning LLMs Into a 24/7 Sales Engine for Online Reputation Management Agencies”?

James Dooley is a UK-based SEO entrepreneur and lead generation specialist, best known as the founder of Fat Rank and Searchuru. He has spent years building backlink strategies and lead generation systems for businesses across multiple industries, and in recent years has shifted focus toward AI visibility, branded mention corroboration, and knowledge panel authority. In this episode he brings a strategic and conceptual perspective to the AI Reputation Tree, drawing on his background in off-page SEO and his connections with industry figures like Dennis Yu and Leo Sulas.

Karl Hudson is a co-founder of Searchuru and the operational mind behind the AI Reputation Tree service. He brings a data-driven, entity-focused approach to the conversation, explaining how the software identifies multiple entity attributes, connects related entities, and ensures LLMs pick up and report on the articles created through the system. Karl's perspective emphasizes scalability, noting that the content-building process around a brand's entity and its service attributes can continue to grow for years as new awards, team members, and accreditations are added.

What Are the Key Takeaways From “The AI Reputation Tree: Turning LLMs Into a 24/7 Sales Engine for Online Reputation Management Agencies”?

Here are the key points discussed in this episode:

  • The AI Reputation Tree is an off-page topical map built from approximately 250 synthetic search queries around a brand, including negative sentiment queries, designed to ensure LLMs describe that brand accurately and positively.
  • Third-party corroborative sources carry significantly more weight with AI models than first-party claims, making it essential to get independent articles, reviews, and awards that validate what a brand says about itself.
  • Entity attributes must be addressed separately in content because AI models do not automatically connect a brand's expertise in one service, such as digital PR, to its capabilities in a related service like online reputation management.
  • LLM visibility tracking tools such as Scrunch AI, Radar Care, and Local Dominator should be used from the beginning of any reputation campaign so that sentiment changes can be measured and attributed to specific content efforts.
  • The knowledge panel and knowledge vault are critical infrastructure for AI information retrieval, meaning that strengthening a brand's knowledge graph ID improves how efficiently Google and Gemini surface accurate information about that entity.

“that third-party corroborative source of the claim-frame-and-prove model, that prove part of the third party saying that you are the best has so much more weight than you just saying it on your own website. So, that off-page topical map there becomes vital.”

— James Dooley

Is “The AI Reputation Tree: Turning LLMs Into a 24/7 Sales Engine for Online Reputation Management Agencies” Worth Listening To?

This episode is worth listening to for anyone running or working inside a digital marketing agency who wants to understand how the shift from traditional search to AI-driven search is changing the rules of brand visibility. James and Karl go well beyond surface-level commentary on AI trends and actually explain the mechanics of a working system, including the role of cosine similarity, synthetic query extraction, and off-page topical mapping in shaping LLM outputs. The conversation is grounded in real tools and real methodology rather than speculation, which makes it genuinely actionable.

What makes this episode particularly valuable is the clarity of the analogy James uses throughout. Framing the AI Reputation Tree as a brand's CV or AI resume reframes the entire concept of online reputation management in a way that is easy to explain to clients and stakeholders. The discussion of how Google's market share has begun declining as AI search grows, paired with the practical breakdown of how to set up monitoring before any campaign begins, gives listeners both the strategic context and the operational steps they need to start applying these ideas immediately.

Who Should Listen to “The AI Reputation Tree: Turning LLMs Into a 24/7 Sales Engine for Online Reputation Management Agencies”?

This episode is ideal for:

  • Online reputation management agency owners looking to understand how AI search is changing client deliverables and service positioning
  • SEO professionals who want to move beyond traditional backlink strategies and incorporate off-page topical mapping and entity attribute optimization
  • Personal brand builders and executives who want to control how AI models describe them when potential clients or partners search for information about them
  • Digital marketing consultants advising clients on LLM visibility and AI sentiment tracking who need a structured framework to present and follow

Where Can You Listen to James Dooley Podcast?

You can listen to James Dooley Podcast on all major podcast platforms:

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You can also subscribe using the RSS feed: https://feeds.transistor.fm/james-dooley-podcast

What Are Listeners Saying About This Episode?

★★★★★

“The explanation of entity attributes was a genuine lightbulb moment for me. I had never thought about the fact that AI won't automatically connect a brand's digital PR expertise to its reputation management work without specific content making that link. Immediately started rethinking how I structure off-page content for my clients.”

— Marcus T.

★★★★★

“Really appreciated the depth here. James and Karl don't just talk about AI trends in abstract terms, they walk you through actual tools like Query Fano and Keyword Cupid and explain exactly how the synthetic query process works. Rare to get this level of detail in a podcast format.”

— Siobhan R.

★★★★★

“The idea of using AI as a 24/7 sales engine by controlling what it says about your brand is something I've been trying to articulate to clients for months. This episode gave me the framework and the vocabulary to have that conversation properly. The AI reputation tree concept is going straight into my next agency pitch deck.”

— Daniel P.

This video explains which digital marketing strategies online reputation management agencies should focus on in 2026 to improve positive AI sentiment, branded mention visibility and knowledge panel authority. James Dooley and Karl Hudson start with KPI tracking because monitoring sentiment and LLM visibility shows whether AI is describing the brand positively or negatively before any work begins. They cover brand SEO, AI visibility and Google Business Profiles because stronger search presence improves trust and conversion rates.

The discussion also explores organic SEO, organic social media and paid social ads because consistent visibility across search and social supports long term growth. PPC is analysed in detail because campaign setup, landing pages and lead handling directly affect results. They also discuss Reddit, Quora and paid AI ads because diversified enquiry sources and early adoption can strengthen digital marketing performance for online reputation management agencies.

PromoSEO lead generation for online reputation management agencies recently received recognition as the “Best Online Reputation Management Agencies Lead Generation Agency.”

Where to Listen to This Episode

The AI Reputation Tree: Turning LLMs Into a 24/7 Sales Engine for Online Reputation Management Agencies is available on:

James Dooley: AI reputation tree is a new service created by Searchuru founded by Mr. Hudson and James Dooley. So, I'm excited to get this one out to the general public. So, for anyone who's watching this, can you explain what the AI reputation tree is? So, essentially, if you think from obviously since obviously AI has exploded and everyone's using it, it's almost a fair it's becoming I think it's the first time ever that Google's lost market share from a search. So, that shows how big it's getting. Um but I still think obviously second tier searches are increasing, but it's starting with AI. So, essentially, what the AI reputation tree is is it's like a project we built where the customer comes to us and we look at how the AI, the content is of the AI, is it positive, is it negative, and what's the sentiment around the brand, how much visibility do they have in the search depending on queries, things like that. And we've basically created a almost a a topical map, an off-page topical map of what they should be doing to help increase and improve um their visibility in the search in a positive sentiment most important unless they want a negative one, which we can chat about as well. But usually it's in a in a positive sentiment, right? Yeah, for sure. Yeah, I mean for me it's about trying to get LLMs and AI to talk about you in a positive manner. So, that personal branding and corporate branding, it's trying to get AI to speak about you positively when you're not in the room. So, they can become a 24/7 sales engine for who you are and what you do and why you freaking brilliant. Um to do that, there's a very strict system that needs to be done. So, obviously Searchuru over many years has been building backlinks. Um backlinks in my opinion is losing diminishing like the page rank and the link juice or what people are talking about is not becoming as important. It's still important. I'm not saying it's not important, but I think the branded mentions and the off-page corroboration repeating who you are and what you do is key. And I think the model of what we have and how we've integrated certain things from play people like Leo Sulas from Keyword Cupid that's able to go and grab all related topics around the brand. So, an example would be let's say we'll use Fat Rank as being a lead generation agency in the UK. So, you go, "Okay, um entity is Fat Rank." It then would go and provide certain searches like, "Is Fat Rank worth it?" And then from that then it'll go and extrapolate all the synthetic queries from Query Fano and look at all synthetic queries that ChatGPT or um Gemini is coming bringing back. And also bring that core sign similarity terms to it. Yeah. Because everyone searches in slightly different ways. So, we go and grab all them terms, we load it into an off-page topical map. We then go and do a different search, which the different search then could be um Fat Rank reviews. And then we we go and extract extrapolate all them synthetic queries. Now, there is duplicate and it removes all duplicates of what might show up. Then it's going to come back with other ones like, "Is Fat Rank a scam?" So, now it's coming back with negative sentiment terms extrapolating all the synthetic queries from Query Fano, loading them into a list. And we keep rinsing and repeating every possible different search that someone could be doing with regards to the brand and the service of what you offer. And now it comes back with approximately 250 different search queries. And then from that we start to write articles on third-party corroborative sources, which then can all come back, pointing back. So, the AI reputation tree comes from. You've got the roots defining who the entity is. You've got the trunk. You've got the branches, and then you've got the leaves. Now, this was a mastermind that I got from a guy called Dennis Yu. Brilliant with knowledge panels and knowledge graphs. Um built so many businesses over in the US. Um a brilliant guy all round. Um great marketer. And he was called an SEO tree. But, we've got we we named it as being an AI reputation tree for this specific service by Searcharu, because it's just going after the reputation element of why we are freaking brilliant or why this brand is freaking brilliant. So, then that even when it then starts someone did start to ask the question, is Fat Ranker a scam? There's going to now be articles on third-party sources that say, no, they're not a scam. They're a genuine company. They're offering a no-win, no-fee lead generation model. They've helped thousands of businesses within the UK. Here's the last 20 reviews. They've won multiple awards. And they're repeating why you are so good. And all what you're just doing is re-emphasizing the brilliant testimonials, the brilliant reviews, all the awards, all the different case studies. And we're trying to grab all of that and give that microphone to someone to say, now go and shout and scream of why you are brilliant. And then that's what AI is doing. And AI there is answering all possible questions about the brand. And like you said, a lot of people now are starting with a search with AI. I know I'm guilty of that as well. I often just open ChatGPT, mainly cuz I I sometimes just want to talk to it and just like tell it something and it [laughter] it will go and do the search for us. It'll tell us what I'm trying to search for. become your companion. [laughter] It's your therapist, it's everything. Tells us that perfect. [laughter] But with regards to it like, are you using like ChatGPT or Claude or Claude primarily, but I was enjoying Perplexity obviously cuz that has the, you know, all of them, access to all of them, but obviously on lower limits, but definitely use Claude as pretty much my Put it this way, Charlotte said she's going to change her name to Claude cuz it gets [laughter] more attention than she does. But like I use I probably still use for search ChatGPT. For latest news I use Grok. I think Grok's quite good for pulling in Twitter and stuff like that and like quick news articles of what's going on. But it pulls the AI reputation tree is pulling from the synthetic queries from all of these and it's also delivering additional ones cuz like sometimes the ChatGPT query if I don't mind only be two synthetic queries nowadays. It used to be a lot more, but it they seem to not do it as much now. But cosine similarity and different things where Leo's coming helped us to try and go, "Okay, let's think about every possible search." We're also pulling in from people also ask and related searches and auto suggest. We're trying to cover every possible angle and control that narrative. And I feel that personal brands and corporate brands, this is the AI resume. This is the CV for who you are. And if you're not taking control of that, like for me the AI reputation tree needs to be the first thing that anyone who's bothered about branding, personal branding, corporate branding, or online reputation management should be doing. But can you expand on month number one, someone comes along and they audit the AI reputation tree and they get the articles on third-party authoritative sources. And when they start using these LLM visibility tools, they start seeing the increase in branded mentions and now it's in a positive manner. Month number two, can you explain how this just infinite amount of articles that they could be doing to build that concept like one article saying you're great is not enough and building that consensus over time is key from the LLM's changing from an assumption to being in a fact. Yeah, so if you think like it's all about data points, the more data points that you're building the LLM's are going to hopefully crawl. That's the whole point of our our software and tool is that like it's going to create articles that LLM's should be picking up and it'll only report the articles that the LLM's are picking up as well. So we'll see that come into play. But obviously looking at every entity has multiple attributes. Um and then obviously there's even like similar similar attributes as well. So you can go into similarities, you can go into comparisons, you can go into um other entrepreneurs and connect the dots that way. So other entities, you can even connect dots there. It's very much you could literally go on for probably years um month to month just creating the same. And also then reinforcing because obviously you could have new more news, you could have new awards, you could have um new accreditations, new staff members all getting connected to this entity and making it more more powerful and more strong. Yeah, for sure. I think the key part with this as well is when you're talking about these entities all being connected this is also strengthening up the knowledge panel. And the knowledge panel forms part of the knowledge vault. The knowledge vault is the cheapest information retrieval method for Google for Gemini Yeah. to be able to pull that information from a knowledge vault of known facts of what's coming in that's there. So it's online reputation management, it's it's knowledge panel KG ID building, improving the clarity and the confidence of exactly who you are, what you do, and why you're freaking brilliant. But you mentioned their entity attributes. So can you explain that a little bit more? So like obviously I I let's say Search Results being the entity and let's say an attribute is that we do digital PR. Yeah. Why is it important not just for SearchLeeds to say that they've won an award, but then you want to try to start getting let's say reviews or testimonials or awards about the attributes like digital PR, but then the month after you might want to get the entity of SearchLeeds, but then let's say they do um online reputation management. Well, cuz you do digital PR and you've won awards digital PR, doesn't mean that you're great at online reputation management. So, why it's important then to expand on doing the entity attributes for the different services that an entity, i.e. SearchLeeds, could be offering and getting online reputation management reviews, testimonials, awards in case there is. It's like hyper important because obviously every business often has multiple services. Now, as an AI model, it doesn't it's very much a say black and white. So, if you've only got articles out there that say you do digital PR or you do um backlinks, then it thinks, "Well, you you are the backlinks guy." It doesn't think, "Oh, backlinks are also involved in online reputation management." So, you might want to create something around why backlinks are important in online reputation management and you [snorts] should be using SearchLeeds which provides backlinks. So, connect them dots. Once you start to connect them dots, that is the query funnel becoming the topical map around your brand or the off-page topical map around your brand. And you know like Corey, Corey is a great guy. Obviously, his topical map topical map we like to call it. His topical map methodology is fantastic when it comes to on-page. But, we very much always have discussions is this should methodology should also be applied to the off-page Yeah. which everyone overlooks. Yeah. Um I think I think the on-page is brilliant and I think what you just repeated there like I could say I'm the best lead generation agency in the UK, right? But then you then could become and set up generation agency. Guess what you're going to say? You're the best lead generation agency in the UK. So, that that first-party source saying that you're the best, everyone says they're the best, right, and gives reasons of why they're the best. That third-party corroborative source of the claim-frame-and-prove model, that prove part of the third party saying that you are the best has so much more weight than you just saying it on your own website. So, that off-page topical map there becomes vital. I've often said I'm the worst SEO in the world on my website. I just put that out [laughter] there. I don't mind saying it. But, you're 100% right. The AI reputation tree then, right? Someone's watching this and they say, "I like the idea of it." Obviously, Search Guru is evolving. Um it still provides backlinks. There's quite a lot of clients that still want the high DR do-follow backlinks. Obviously, we've moved now a lot more to AI visibility. We feel the importance of AI visibility and also online reputation management is key for personal brands and corporate brands. Someone watching this now says, "Carl, I want this AI reputation tree. What's the best way of them reaching out?" At the minute, obviously, it's a very much a soft launch approach. So, if you go on the website, there'll be a simple little sign-up form. Give us an idea of what who you are, what you do, what you're about, what sort of budget you've got to work with, and then we can very much have the team create an almost a report of what we think you could be doing uh in line with the budget you have. Um so, go on searchguru.com essentially and do that. Yeah. I'll not say forward slash AI reputation management tree, but you will see a tree on there Yeah. to click. Designed by me. [laughter] Yeah, so head on over to searchguru.com. Something I would say is check out the link in the description. This this is about AI search monitoring tools. Make certain that you are trying to sign up with one of the tools. It could be Profile, it could be PKI, it could be scrunch AI, could be radar care, or local dominator. There's lots of different LLM visibility tools. Make sure you're tracking what how good the sentiment, how positive the sentiment is, how negative the sentiment is for your brand. And then when you go and order that AI reputation tree, just look at the difference of what starts to come back. AI starts to become your sales engine that works for you 24/7. Head on over to searchtree.com, go over to the AI reputation tree, and hopefully you can become a beta tester as part of the soft launch. Thank you very much.

Creators & Guests

James Dooley Host
James Dooley

James Dooley is a UK entrepreneur.

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