Query Fan Out and ORM: Protecting Your AI Resume in 2026 with Karl Hudson

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What Does “Query Fan Out and ORM: Protecting Your AI Resume in 2026 with Karl Hudson” Talk About?

This episode of the Online Reputation Management Podcast tackles how the arrival of AI query fan out has fundamentally transformed the ORM landscape heading into 2026. Hosts James Dooley and Karl Hudson explain why controlling your reputation is no longer about managing the ten blue links on Google or hiding a bad result on page two. Instead, LLMs like ChatGPT, Perplexity, Claude, and Gemini study the entire internet, extrapolating synthetic queries across every entity and attribute connected to a brand, meaning reputation professionals now need to produce 10 to 100 times more content to cover all the dimensions of a brand's narrative.

Central to the discussion is the concept of the AI reputation tree, described as an off-page topical map that charts all the query funnels, entities, and core cosine similarities connected to a brand. James and Karl explain how this roadmap helps convert negative sentiment into positive and how it can position a brand as the number one cited source within an LLM rather than an 'okay' option. They use vivid analogies, comparing an uncontrolled AI resume to a landing page where a third H2 section is left open for anyone to write anything about you, including the bad and the ugly.

The conversation also covers the shift from SEO to AEO, the importance of fast indexing through tools like Index Optional and GigaIndex, and why proactive rather than reactive ORM is essential now that AI-generated content floods the web and negative publicity spreads faster than positive. They highlight the newly launched AI reputation management tree at Search Reactor, currently in soft launch with beta testers, and stress the need for brands to monitor sentiment across the main AI platforms.

“The problem is an ORM goes everywhere. It is literally studying the internet, all of the different knowledge sources, all the social media.”

— Carl Hudson

Who Are the Guests on “Query Fan Out and ORM: Protecting Your AI Resume in 2026 with Karl Hudson”?

James Dooley is the host and a serial entrepreneur behind agencies including Search Reactor and PromoSEO. He brings a practical, client-focused perspective, drawing on real consultations, such as a recent mentorship call with a client who had spent heavily on ORM companies without ever hearing about query fan out or the AI reputation tree. His expertise spans SEO, online reputation management, and emerging AI visibility strategies.

Karl Hudson is a digital marketing specialist deeply versed in how large language models process brand data. He articulates the transition from traditional SEO to AEO (Answer Engine Optimization), explaining how content phrasing, core similarities, and article titles feed LLM confidence in a brand. Together, James and Karl have been running extensive testing on AI search monitoring tools and LLM visibility platforms to keep reputation strategies current.

What Are the Key Takeaways From “Query Fan Out and ORM: Protecting Your AI Resume in 2026 with Karl Hudson”?

Here are the key points discussed in this episode:

  • AI query fan out has made online reputation management roughly ten times harder because LLMs study the entire internet and generate synthetic queries across every entity and attribute connected to a brand.
  • The AI reputation tree acts as an off-page topical map that identifies all query funnels and cosine similarities connected to a brand, providing a roadmap for turning negative sentiment into positive.
  • Brands should aim to be cited as the number one source within an LLM rather than just an acceptable option, similar to being recommended as a great restaurant rather than merely an okay one.
  • ORM has shifted from SEO to AEO, requiring content to be crafted around how LLMs process data so the model gains confidence in what a brand or person is.
  • Proactive reputation management combined with fast indexing tools like Index Optional and GigaIndex is essential because negative publicity spreads far faster than positive online.
  • Monitoring brand sentiment across the main AI platforms like Claude, Gemini, and ChatGPT is critical since anyone can now mass produce content that gets cited within LLMs.

“The reality is nowadays it is now becoming AEO, not SEO.”

— Carl Hudson

Is “Query Fan Out and ORM: Protecting Your AI Resume in 2026 with Karl Hudson” Worth Listening To?

This episode is worth listening to because it demystifies one of the most disruptive shifts in digital marketing, query fan out, and connects it directly to the practical realities of protecting your reputation. Rather than staying abstract, James and Karl use memorable analogies, such as the open H2 section on a landing page where anyone could write something negative about you, that make the stakes of an uncontrolled AI resume immediately clear. The result is an accessible primer on why old-school ORM tactics like image suppression and sinking page-two results no longer suffice.

Listeners also get actionable pointers, from specific indexing tools to the case for proactive rather than reactive strategies, along with an honest look at how the collapse of traditional content departments and the flood of AI-written articles have raised the risk of fast-spreading negative sentiment. Anyone weighing whether their current ORM provider actually understands LLMs will come away with sharper questions to ask and a clearer sense of what modern reputation control demands.

Who Should Listen to “Query Fan Out and ORM: Protecting Your AI Resume in 2026 with Karl Hudson”?

This episode is ideal for:

  • Business owners and executives wanting to protect their corporate or personal brand within AI search results
  • Online reputation management professionals who need to update their strategies for the LLM era
  • SEO practitioners transitioning from traditional search optimization to AEO
  • Marketing agency leaders evaluating whether their ORM vendors truly understand AI visibility

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

What Are Listeners Saying About This Episode?

★★★★★

“The landing page analogy about an open H2 section where anyone could write something bad about you finally made query fan out click for me. James and Karl explain a genuinely complex topic in a way that any business owner can follow. Immediately started rethinking how I monitor my brand across ChatGPT and Gemini.”

— Daniel R-K.

★★★★★

“Loved the breakdown of the AI reputation tree as an off-page topical map. The point about being cited as the number one source rather than just an okay restaurant stuck with me. This is the first ORM discussion I've heard that actually addresses how LLMs process brand data.”

— Priya S-M.

★★★★★

“As someone running a small agency, the shift from SEO to AEO that Karl describes is exactly what I've been struggling to articulate to clients. The proactive versus reactive argument and the indexing tool tips like GigaIndex were practical and worth the listen.”

— Marcus T-B.

This video explains which digital marketing strategies online reputation management companies should focus on in 2026 to improve LLM visibility, positive brand sentiment and faster indexing of reputation content. James Dooley and Karl Hudson start with KPI tracking because monitoring brand sentiment across AI platforms shows whether negative narratives are being suppressed and positive ones reinforced. 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 companies.

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

Where to Listen to This Episode

Query Fan Out and ORM: Protecting Your AI Resume in 2026 with Karl Hudson is available on:

James Dooley: Why AI query funnel out has made online reputation management 10 times harder? So obviously with AI query funnel out, they extrapolate synthetic queries. There's a lot more queries now to be trying to cover. Why has ORM services become so much more difficult?

Carl Hudson: So previously, obviously online reputation management was all about just controlling the narrative around the 10 blue links that you see on Google or Bing. Obviously both search engines have their own search. Nowadays though, you know, we've mentioned it before, the used to the phrase used to be you used to hide a dead body on Google on page two of Google cuz no one goes past page one. The problem is an ORM goes everywhere. It is literally studying the internet, all of the different knowledge sources, all the social media. It's getting all of the knowledge from everywhere. So when it comes to online reputation management, it's very, very important with the query funnel out model that you you're tackling all of the different entities and attributes connected to your brand. Um which means you essentially need to do 10 times or 100 times more articles around reputation management and control on the sentiment around the brand when it comes to being cited in the ORMs.

James Dooley: Yeah, so with regards to online reputation management then and and query funnel out, why like what's the solution? Like so obviously we've got AI reputation tree. Can you expand on what AI reputation tree is and why that has become majorly important from Search Results point of view as part of an onboarding for all online reputation management clients?

Carl Hudson: So essentially becomes like an off-page topical map um where it's going to go into all of the different um query funnels connected to your brand and entity and all of the various similarities, core sign similarities, all of this connected to the brand and essentially give you a a road map of what you should be building around your brand um to help change um you know negative sentiment into positive or or just increase the knowledge within the AI panels and knowledge panels and things. Um so it it becomes more confident in what it's saying. And you want it almost be cited as the you know the best of the number one source within the LLM as opposed to just oh these are an all right option. You know, whoever in your life have you ever been one of them who goes to it was an okay restaurant. Oh, that's good. I'll go there next then.

James Dooley: Yeah.

Carl Hudson: No, it's it has to be a great restaurant. The food was amazing.

James Dooley: Yeah.

Carl Hudson: Like this sort of stuff excites people and it's the same with LLMs.

James Dooley: Yeah, so with regards to that then, can you explain anyone who's watching this please check out the link for the AI resume and why the AI resume is so so important. But can you explain to anyone of the importance of controlling the AI resume?

Carl Hudson: So with the AI resume obviously it again it comes back into it they all sort of cycle around each other. So I circle around each other. It's it all comes back to reputation management again and what the AI is saying about you personally or about your business is vital nowadays. Most people are starting to query search from AI agent of some kind. Could be ChatGPT, Perplexity, Claude, Gemini, any one of those and ones that we haven't mentioned is where the search is initiated and and if that search comes back with a negative sentiment around you or whatever brand then that is not great. So again it'll come back to you know controlling that narrative around you as a brand or a person or business and everything connected to that. So it can be forums, Reddit, Twitter, social media. All of these different elements need to be improved and also indexed within the search engine, which is super important. And big shout out to like Index Optional or for Giga GigaIndex.com, two great sources for helping just with speed to get things indexed when especially when it's a struggle sometimes. You know, there's a lot of noise online and you want to get your index fast, they are the places to go to.

James Dooley: Yeah, for me what I found fascinating was a recent search through client and he wanted a call. He wanted a mentorship call, consultation call. And he's spending a lot of money and spent a lot of money with different online reputation management companies. And then when I told him about Query Found Out, he didn't even know what it was, but there was yet someone so-called helping his AI resume. So, I educated him on the AI reputation tree. And I was explaining it, he's like, "Why has nobody else explained this to me?" And I'm like, he's like, "Why why is it important?" So, I said, "Right, here's the best kind of way of me explaining it. If you've got a landing page and someone comes on and you're trying to explain everything about who you are, but the third H2 down on the page is just open for me to write anything and you don't know whether it's good or whether it's bad, and it probably will be bad cuz in that section is what's bad about Carl Hudson."

Carl Hudson: Yeah.

James Dooley: "Would you be happy for somebody else to write in that section?" You went, "No, not my landing page, no chance." I'm like, "That is what Query Found Out is because basically what's happening is it's doing all the different searches, extrapolating all the synthetic queries. And with all the different dimensions, it's looking at the good, the bad, and the ugly. And if you want to be trying to control even the bad. So, sometimes you want to write certain articles online that might be talking about the disadvantages of using, let's say, Search Room. And we're like, "We don't sell blog comments for £2 each. If you're looking for blog comments at £2 each, we're not the right agency for you. We help e-commerce brands or enterprise SEO brands. We help with online reputation management clients. But generally speaking, you're going to have to be spending a minimum of let's say $500 a month. If they've not got that, we're happy to say we're not the right client for you. And if that was in the section and it was one of the things of why not to use us and it was like, if you've already got low budgets, we're not the right agency. Would you be happy with that? Yeah, I'd be happy with that. Like, you can control that. But imagine if it was someone from 2 years ago that had a bad experience, which sometimes can happen. Sometimes um they might have gone on holiday or a member of staff might have took a little bit longer to negotiate a good rate with a high DR site. But these are real relationships. Or sometimes it could took a couple of extra weeks longer than normal. And they've had a bad experience and they say, "Oh, they took months before they placed the links. They're a load of garbage." Would you be happy with that on your landing page? No, you wouldn't. So, let's control that. Query found out part of the online reputation management. And at that point, he straight away ordered the the AI reputation tree as one of the beta testers. And with the guys that the AI search monitoring tools, everything was just little boom, green, green, green, green. And he was like, "Can't believe this." So, my question back to you is, there's a lot of online reputation management companies out there that used to do a good job of sinking articles or images at times cuz people do image suppression onto page two. But if someone wants to improve their AI resume, why do they need to be teaming up with someone that understands Query Found Out, that understands what the AI reputation tree is? And why is that vitally important now for proactive and not just reactive ORM services?

Carl Hudson: The problem is you you want to have things indexed as fast as possible and you want to be on top of it as quick as possible and as soon as possible. So, you know, if there's a lot of negative press going on, and you're not already doing something proactive, that is going to What's the the word? One bad sing One bad word sinks a thousand ships, something like that. I can't remember the phrase, but I'm all I always butcher phrases.

James Dooley: [laughter]

Carl Hudson: Ahem. Absolutely butcher them, but the premise is essentially, you know, if um something bad will get around quicker than something good will nine times out of 10. And you often see it when you get in reviews and things for brands, you know, people are very quick to give you a negative review, but most people forget about giving a positive review cuz they they just enjoyed the experience, and that's exactly what's happening online.

James Dooley: [snorts]

Carl Hudson: Um so, it's very important to stay proactive um rather than a reactive strategy. And the reason why a lot of the previous um online reputation management companies were failing when it comes to the AI side is because they just they're they're still thinking in old SEO, and the reality is nowadays it is now becoming AEO, not SEO.

James Dooley: Yeah.

Carl Hudson: So, you have to think from the, you know, how are the LLMs processing this data? Um now, yes, SEO still has They are very much the same similar things, um but we It's just how you you phrase the articles, how you come up with the var- various different core similarities within the titles of articles and things, and just start feeding that LLM so it starts to understand, and, you know, gains confidence in what you are as a brand or a person.

James Dooley: Yeah. Yeah, for sure. Anyone who's watching this with regards to LLM visibility, we're talking here about the AI resume. We're talking here about query funnel, making it so much more difficult for online reputation management. Go and check the link about the best AI search monitoring tools. Myself and Carl have been doing a lot of testing with regards to the different LLM visibility tools. But, Carl, can you explain why is it important for these people to be monitoring the brand now with within AI? So, main I'd say mainly the main three of being Claude, Gemini, and ChatGPT. Why is it important for them to be monitoring that to make certain they have got a positive sentiment and the AI resume is very positive and makes it that they are great, not just like you said before, oh, that's okay restaurant. Do you want to go there tonight?

Carl Hudson: No, thank you, I don't. I want to go to a great one.

James Dooley: Mainly because of the amount of data out there. So, if you think nowadays with AI, everyone can produce content. You know, we used to have quite a big content department of actual writers within Search Reactor. Nowadays, that's down to like one or two. And that's primarily because, you know, content is just wrote by AI nowadays. It It is just that. So, the problem is all that content is just getting published online. So, everyone's creating content, blog posts, everything like that. And it's very easy and very quick for negative um publicity to get out there. Negative articles can get out there very quickly and get cited within LLMs. So, it's very important to get control of the narrative and start changing the the scope of that content or create a new articles all about the positive sentiment of the brand. Um and that's how really I'd be staying on top of it all.

Carl Hudson: So, if someone's now going, okay, I want to look at improving my corporate brand. Okay, I want to now start looking at improving my personal brand. Okay, I now want to improve the positive sentiment of my AI resume. What's the best way of reaching out for an online reputation management service that understands artificial intelligence and the LLMs and make certain that they can get a positive sentiment?

James Dooley: Yeah, so just Search Reactor, obviously one one of our own companies. Obviously, we have just launched the AI reputation management tree. Um and that is essentially in soft launch. You'll be able to sign up for an email and the guys will get back to you and see if you're a good match for us seeing if we can make it work for you. Obviously, we're only selecting a select few people because at the same time we we need to make sure it works and we also we're a little bit lazy. We don't want too many people, you know what I mean? It's just we want to make sure the product is 100% working. Uh and you know, so far case studies have proven it to be successful. So, yeah, head over to search through.com and you'll see the the tree on there and just click that tree that we newly designed.

Carl Hudson: [laughter]

James Dooley: So, anyone who's watching this, is there anything else that you think we've missed with regards to AI queries funnel affecting online reputation management costs and services? Do you think it's become 10 times harder like myself and Carl do? Or do you think it's become easier? Like there's no way you think it's become easier. I don't think you can come up with any sort of logistical reason of why it has cuz obviously the synthetic queries now that's being used by LLMs has made it much much tougher. But, I'd love to hear some feedback from yourself or if you are using an existing online reputation management agency and they're not getting you results in the LLMs, make sure you reach out to search through.com. Carl, it's been an absolute pleasure.

Carl Hudson: Cheers, man.

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