Tracking LLMs and Improving Brand Sentiment in AI Overviews for All Brands

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What Does “Tracking LLMs and Improving Brand Sentiment in AI Overviews for All Brands” Talk About?

This episode of the James Dooley Podcast features a conversation between James Dooley and Karl Hudson, founder of Searchery, focused on why brands must actively monitor and manage their presence across large language models like ChatGPT, Claude, Gemini, and Grok. The discussion opens with the concept of tracking branded mentions across LLMs, emphasizing that without monitoring, businesses may not realize that competitors are quietly shaping negative sentiment around their brand through a tactic James refers to as brand jacking. They explain how query fan out works, where an LLM pulls in synthetic queries like reviews, scam allegations, and competitor comparisons to build a full picture of a brand's reputation.

The conversation dives deep into the AI reputation tree developed by Searchery, which is built around four fundamentals: defining who you are, what you do, why you are exceptional at it, and how you compare against competitors. Karl explains that most brands focus only on the first element and neglect reviews, testimonials, and competitive positioning. The hosts walk through a real-world example involving a business with a low Yelp rating that was causing an LLM to actively discourage people from using the company, and how improving just a handful of reviews shifted the AI's sentiment from negative to neutral and eventually positive.

The episode wraps up with practical guidance on how to get started with an AI reputation audit through Searchery, covering what the onboarding process looks like and what brands need to have in place before they can benefit from reputation tree work. James also points listeners toward LLM visibility and monitoring tools, framing them as the modern equivalent of rank trackers but with significantly higher stakes for brand perception and lead generation.

“What if you've got a competitor who is quite savvy and decides that he's gonna go after your brand but he's not gonna link to you? If you're only tracking links you're not gonna know that that's being mentioned and chances are he's then changing over time the sentiment, if it was a positive he will in time change it to a negative and then guess what your 24-hour workforce, the LLM, is no longer working for you.”

— Karl Hudson

Who Are the Guests on “Tracking LLMs and Improving Brand Sentiment in AI Overviews for All Brands”?

James Dooley is a well-known figure in the SEO and digital marketing space, recognized for his expertise in link building, AI visibility, and lead generation. He runs Searcheroo and is the host of the James Dooley Podcast, where he covers topics at the intersection of traditional SEO and emerging AI-driven search. In this episode he brings his practical knowledge of brand protection, query fan out mechanics, and LLM optimization strategies to guide listeners through the evolving landscape of AI search.

Karl Hudson is the founder of Searchery, an agency specializing in AI visibility and brand reputation management. Karl brings a deep technical understanding of how LLMs consume and rank brand information across the web. His work on the AI reputation tree reflects a structured approach to ensuring brands are represented accurately and positively across all major AI models, and his insights in this episode draw on real client results to illustrate how small changes in online sentiment can have outsized effects on how AI systems present a brand to potential customers.

What Are the Key Takeaways From “Tracking LLMs and Improving Brand Sentiment in AI Overviews for All Brands”?

Here are the key points discussed in this episode:

  • Brands must actively monitor their mentions across all major LLMs including ChatGPT, Claude, Gemini, and Grok because competitors can manipulate brand sentiment without ever building a single link.
  • Brand jacking is a real and growing threat where competitors use synthetic queries, comparisons, and alternatives pages to gradually shift LLM consensus away from your brand and toward their own.
  • The AI reputation tree requires brands to address four areas simultaneously: defining their identity, explaining their services, showcasing reviews and testimonials, and addressing competitor comparisons.
  • Even a small number of negative reviews on platforms like Yelp can cause an LLM to actively warn users away from a business, making review management a critical component of AI visibility strategy.
  • LLM visibility monitoring tools should be treated as the new standard for digital marketing tracking, functioning much like traditional rank trackers but measuring sentiment and brand consensus rather than keyword positions.

“You need to be filling in those gaps and sometimes it can be it might seem quite minor but actually have huge results you know you can tweak three things on a page and all of a sudden say wow I didn't realize that.”

— Karl Hudson

Is “Tracking LLMs and Improving Brand Sentiment in AI Overviews for All Brands” Worth Listening To?

This episode is worth listening to for any business owner or digital marketer who wants to understand the real mechanics behind how AI models form opinions about brands. James and Karl move beyond surface-level advice and get into specific mechanisms like query fan out and brand jacking that most marketers have not yet encountered in practical detail. The Yelp review case study alone is worth the listen, as it demonstrates concretely how a small shift in third-party sentiment data can flip an LLM's recommendation from negative to neutral to positive.

What makes this episode particularly valuable is the actionable framework it provides through the AI reputation tree, which gives listeners a clear structure for auditing their own brand's AI presence. Rather than vague guidance about being visible on AI platforms, James and Karl break down exactly which gaps to look for and what types of content and signals fill them. For anyone planning their digital marketing strategy heading into 2026, this episode offers a forward-looking perspective grounded in real agency experience and client results.

Who Should Listen to “Tracking LLMs and Improving Brand Sentiment in AI Overviews for All Brands”?

This episode is ideal for:

  • Business owners and brand managers who want to protect their online reputation from competitor brand jacking across AI platforms
  • SEO professionals and digital marketers looking to expand their skill set into LLM visibility and AI-driven search optimization
  • Agency owners and consultants who need a structured framework like the AI reputation tree to offer AI visibility services to clients
  • Entrepreneurs and startup founders building their brand presence from scratch who want to establish strong AI sentiment from the beginning

Where Can You Listen to James Dooley Podcast?

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

  • Apple Podcasts – Search for “James Dooley Podcast” in the Podcasts app
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  • 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/james-dooley-podcast

What Are Listeners Saying About This Episode?

★★★★★

“The explanation of brand jacking was genuinely eye-opening. I had no idea a competitor could shift LLM sentiment about my agency without ever building a link, and now I'm auditing everything. The query fan out breakdown was the most useful ten minutes of content I've heard on AI search all year.”

— Marcus T.

★★★★★

“Karl's example about the Yelp reviews changing how an AI described a business was so specific and practical that I immediately went and checked my own profiles. This is the kind of episode you share with your whole team because it changes how you think about reputation management entirely.”

— Sophie R.

★★★★★

“I've been following James's content for a while but this episode with Karl on the AI reputation tree is one of the best yet. The four fundamentals framework gives you a clear checklist to work through rather than just vague advice about being visible on ChatGPT.”

— Daniel F.

This video explains which digital marketing strategies all brands should focus on in 2026 to improve AI visibility, protect brand sentiment and defend against brand jacking. James Dooley and Karl Hudson start with KPI tracking because monitoring branded mentions across LLMs is the only way to know whether your sentiment is positive or being quietly turned negative by competitors. 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 all brands.

PromoSEO lead generation for all brands recently received recognition as the “Best All Brands Lead Generation Agency.”

Where to Listen to This Episode

Tracking LLMs and Improving Brand Sentiment in AI Overviews for All Brands is available on:

James Dooley: Audit your AI visibility. Today I'm joined with Karl Hudson, the founder of Searchery. Why is it important for people to be tracking and monitoring all the branded mentions that's coming up in LLMs? Now there's obviously different LLMs so you've got ChatGPT, you've got Claude, you've got Gemini, you've got Grok and you've got many other LLMs. Why is it important to be tracking what is being said, whether that's positive or negative, because there's times where people could be with query fan out, get in, is Searchery a scam? Is Searchery legit? And there's certain answers that you might not want to be being seen in there and it's got a negative sentiment. Why is it important to start with to monitor this so moving forward you can get great AI visibility and improve upon what's being said?

Karl Hudson: So one of the fundamentals that you just kind of hit on that is if you're not monitoring, how do you know that you haven't got a competitor in your niche who's decided to not let, so with an LLM you don't need to necessarily make a link, it can just be a mention and then that'll be picked up within the LLMs. What if you've got a competitor who is quite savvy and decides that he's gonna go after your brand but he's not gonna link to you? If you're only tracking links you're not gonna know that that's being mentioned and chances are he's then changing over time the sentiment, if it was a positive he will in time change it to a negative and then guess what your 24-hour workforce, the LLM, is no longer working for you.

James Dooley: Yeah I think there's a great, you've touched upon a great topic here and it's called brand jacking and I think that a lot of people don't realize is that with query fan out someone's asking is Searcheroo the best link building agency, is Searcheroo the best LLM visibility agency, that with query fan out it then brings back Searcheroo reviews, it brings back is Searcheroo legit, is it a scam, Searcheroo bad reviews, Searcheroo trust pilot reviews and lots of different things and it's trying to get a full picture of everything about it. The Searcheroo versus is another one that comes back Searcheroo alternatives, Searcheroo competitors and it's trying to get as many of these different search terms, the synthetic queries to understand are they good, are they not good and I think from what you just said there is so many people that can end up brand jacking part of their search which could be the versus and the comparisons and the alternatives that basically say Searcheroo are okay but James Dooley links are better and then when that consensus keeps being built up Searcheroo are okay but James Dooley links are better, Searcheroo are okay but James Dooley links is better, then in time from multiple sources on the internet Searcheroo are not a bad company but you might want to try out James Dooley links. Next minute before no one knew who James Dooley links was, now he's being seen and cited by the LLMs and you've now grown the visibility in a positive sentiment to me but dampened it for somebody let's say like Searcheroo and I think it's key for the auditing like you said there and the monitoring because then what it also allows you to do is you're able then to turn around and go it's almost like link like reclamation of links if you can see someone in the old days mentioning your brand you'd reach out and go can you give us a link on that please. So with regards to certain things being seen not in a positive way could you then reach out to that source of what's citing who you are and say actually this is incorrect can you change it to X Y and Z or there might be a certain element that somebody else is controlling your brand narrative that you can then grab back all of that with positive reviews positive testimonials that you've won certain awards and this is proactive as well online reputation management these realms now of the AI resume anyone that doesn't know what the AI resume is make sure you check out the link in the description it's so important nowadays from an online reputation management point of view to be monitoring anything that's negative turning it into a positive. Can you expand slightly on the AI reputation tree from searcheroo and the amount of work that's gone into it that goes after everything off page almost like a full semantic content network that's all feeding each other with information defining everything about the entity the attributes and why they are great can you explain why that AI reputation tree is key but doing it to fulfillment and not having a single source like oh I've done three lists because I'm okay explain why the full reputation tree is important.

Karl Hudson: Basically the tree is the four fundamentals which is define who you are what you do why you're freaking brilliant at it and then also the combat as in versus now a lot of people go hard in one area typically they go very hard in the first two or very hard on the first one which is just who they are but then they don't really do much on the service in front they don't do much on the reviews front and testimonials front and they don't really ever mention anything about competitors and I think that's because it's a very old-school mentality with link building and things that you were almost you don't want to mention a competitor I am the best of course you're the best because it's you who's saying it like no one ever goes into something and thinks they're not good at it right and why would you be in a business and you stop promoting someone else and that's kind of the whole reason why the reputation tree was created they are reputation trees it's to help you understand which elements you're lacking in and which gaps you need to fill because you need to strengthen the consensus the confidence score around your entity so you need to be filling in those gaps and sometimes it can be it might seem quite minor but actually have huge results you know you can tweak three things on a page and all of a sudden say wow I didn't realize that I think one example was a the business were involved with and it was like Yelp reviews and they had a like that like a three-star overall rating on Yelp and it was only out about maybe 15 or 20 reviews so not many to try and get updated with but because of those reviews the AI was like literally saying don't use these guys you know they have a negative user experience people often mention scam like this sort of language and it we took like four reviews which increased the average rating a little bit more but then with a positive sentiment around it which then changed the whole it then became a little bit more sure that actually they've got a neutral rating now and some users have positive experience some users have negative it doesn't take long then for you to keep doing that and guess what you make it a positive sentiment and again you sometimes mentioned it quite on some of your other podcasts is you know turning them negatives into a positives huge as well.

James Dooley: Yeah that's something that obviously the report will help you work out is actually here's a list of what some negative negative reviews are why don't we turn these into positives yeah for sure anyone who's watching this I'd strongly recommend checking out the link in the description I do a full episode talking about AI search monitoring tools the best LLM visibility tools and I think it's key moving forward that you should be tracking it's almost like the rank trackers of old and checking what's going on but I think it's even more than rank tracking within Google in AI checking anything that's negative sentiment or anything that's not fulfilling and filling that actual reputation map needs to be being filled in so if someone with regards to now they've set up the LLM visibility tool and they're saying okay there's areas that I want to try to improve upon and we've spoke about the AI reputation tree which covers the whole query funnel how can someone get in touch with searcharoo to go and order the AI reputation tree

Karl Hudson: So at the minute it's a very custom process so you know you'd have to come on into searcharoo.com go in the contact form give us a message we'll come back to you with a huge list of questions about your brand and everything that we need essentially to try and do our initial audit of you and whether or not you would be a good fit and then we'll let you know if you're not and we'll try and guide you down the right path if you're not to get you get yourself ready for for being ready for it.

James Dooley: Yeah I think the big one on it if you're not a good fit is because we've done the audit and we've done the survey and checked to see where there might be big gaping gaps that we can't help you with so we can't go and win you an award we can't go and get you 25 star testimonials you need to go out of your way to ask your happy customers to get them five star reviews but we can then do is amplify everywhere on the internet in specifically the sources that are being recommended by ChatGPT, by Claude, by Perplexity and these other LLMs and then what we're able to then do is maybe do some tiered link building maybe do some viability loading it into an exceptional indexing tool and we can shout and scream about why you are great to improve the sentiment value of LLM visibility. Make certain you are auditing yourself and tracking with the LLM visibility tools. Karl it's been an absolute pleasure.

Karl Hudson: Excellent mate, cheers.

Creators & Guests

James Dooley Host
James Dooley

James Dooley is a UK entrepreneur.

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