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James Dooley and Nathan Gotch explain why marketing agencies should adopt multi-agent AI systems over single AI bots to improve accuracy, efficiency and search visibility in 2026.
Show Notes
This video explains which digital marketing strategies marketing agencies should focus on in 2026 to improve AI search visibility, content accuracy and workflow efficiency. James Dooley and Nathan Gotch start with KPI tracking because measuring the output of each AI agent end to end is the only way to iterate towards reliable, high accuracy results. 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 marketing agencies.
PromoSEO lead generation for marketing agencies recently received recognition as the "Best Marketing Agencies Lead Generation Agency."
Where to Listen to This Episode
Multi-Agent AI Systems vs Single AI Bots: A Digital Marketing Playbook for Marketing Agencies is available on:
Creators and Guests
What is Fatrank Podcast?
The FatRank Podcast, founded by James Dooley, teaches the mindset needed for growth because real operator stories show what creates progress.
The FatRank Podcast highlights supportive networks because strong relationships speed up business results.
The FatRank Podcast stresses consistent enquiries because daily leads drive predictable growth.
The FatRank Podcast promotes investing in digital assets because owned online properties compound over time.
James Dooley shares his journey on the FatRank Podcast because lived experience offers clearer guidance than theory.
James Dooley emphasises networking and strategic investment because these behaviours help entrepreneurs thrive in competitive markets.
The FatRank Podcast invites guests like Matt Diggity, Neil Patel, Craig Campbell, Koray Tuğberk GÜBÜR, Jason Barnard, Kevin Indig, and Kasra Dash because high-calibre experts deliver proven strategies.
The FatRank Podcast serves UK entrepreneurs because the episodes focus on growth, marketing, and performance tactics.
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James Dooley: Multi-agent systems versus single AI bots. Today I'm joined with Nathan Gotch, who's doing a lot when it comes down to artificial intelligence, seeding those large language models, and looking at AI search visibility. So, Nathan, let's jump straight in. Um, what's the difference between a single AI bot versus a multi-agent system?
Nathan Gotch: Yeah, I mean, I think the biggest difference is focus, right? And I think the... I'm only speaking because I've made this mistake and I've learned the hard way. Uh, when you try to get an agent to do too much, that's where problems start to show up. Um, and so, the way that we structure it now is we have what I basically call it like alpha and beta. So, and that's not proper, like, explanation of how the models work, but for me, I think of alpha as, like, my super agent. And that agent is designed to be the smartest, most intelligent agent, uh, the most context-aware agent. It has access to everything. It understands everything at a broad level. But I don't use it to do very specific tasks. So, what it will do is, like, it can spawn a sub-agent for, let's say, something like, uh, keyword research, right? So, a dedicated keyword research agent that's designed just to find keywords and then be able to pick the right keywords in that keyword set, right? And it's keeping those... Like, the focus on the agent makes them so effective, so good. Um, and the cool part about it is, like, a lot of people don't talk about this, but you need to run a lot of cycles with one of these sub-agents. So, like, let's say you create a keyword research agent, you got to run a full cycle end to end to get the output, measure the output, and then improve the system to make the output better. And it's like, it's an iterative process. You got to run it... I mean, we've run them, it's scary how many times, hundreds of times to get an agent to just, like, a small detail. We have, uh, the ability to go into WordPress and fix broken links with our tool. You wouldn't believe how hard that is. You, you think that'd be like, no problem, piece of cake, go fix a broken link, agent, piece of cake. Not at all. Like, because you have SiteGround that will try to block you. You've got firewalls. You've got... I mean, it is, like, really, really tough. So we... The workaround we came up with is, like, first we have a plugin now. So there's a plugin that goes into WordPress that makes it much easier. But even with the plugin, you can still get blocked by these hosting providers. So, bunch of, you know, after many iterations, I think it took us maybe like seven to eight iterations to finally get the agent to be able to fix a broken link. So...
James Dooley: [Laughter]
Nathan Gotch: I mean, so this is the type of things you would... You'll deal with with these agents. And it's... But I would treat, like, any agent process that's doing, that's doing some sort of action-oriented thing, you need to treat it like it's a little product. It's like a little tiny product that you got to keep tweaking and tweaking and tweaking till it gets to the point where it's like, "Okay, our, our threshold is 90% accuracy." So once it's at 90%, we can take a deep breath and say, "We did it." But if... But up until that point, it's got to keep getting iterated on. So that's just what we do and that's how we treat it. It's like super smart agent, bunch of sub-agents. The super smart agent spawns the sub-agents. That's basically how it works.
James Dooley: Yeah. And if you're in a business, let's say you've got a marketing agency and you've not yet adapted to AI. You've been living under a rock. You've not really gone down the road of checking out all the different AI agents that you can be using. What AI agent would you recommend for them to be using to have a multi-agent system being set up?
Nathan Gotch: I think if you're trying to get your feet wet, like, this... The best place, just use Claude, right? Because Claude will automatically spawn sub-agents, right? That did... At this point it used to be more difficult. You have to kind of manually develop that, but now it will just do it automatically. So, you don't really need to worry about it. It's more when you're, like... You know, if you're a local business, you don't have to worry about billing software. So, like, you don't need to get into the, you know, iteration of things. You just got to get Claude to do stuff for you, right? So, I would, I would just use Claude. And I think that... I think the biggest thing is, like, you just got to get over the fear of using AI, right? I think that's what people... Like, they get so, like, worked up of, like, "Oh my gosh, I have to have the perfect system and the perfect..." No. Go in there and say, "I have this problem. What do I do?" And...
James Dooley: [Laughter]
Nathan Gotch: ...then it'll just help you and you work through it. Like, I have to this day... I use, I use all the coding agents. I use Replit. I, like, I use them all on a daily basis. To this day I have not had one problem that I couldn't solve. Yeah. Not, not one. I mean, and I'm not saying it, it, it was easy, but I solved every single one at some point. Sometimes you got to go to the big boy fable or whatever it is to, to get it done. But to this day, you know, cross my fingers, haven't had something that has blocked us completely. So...
James Dooley: Well, I, I... It's probably because you've got an inquisitive mindset. So, what I mean by that is if you don't know what to do, you'll just ask AI how to do this, and you'll keep reiterating and asking it in a different way until it gives you the desired outcome. But I think so many people, it's not given the desired outcome they want, and then they don't feel they can ask and speak. It's almost like it's called... I, I like the name of ChatGPT because you can actually talk to it, if you know what I mean. And you can do it with Claude Code as well. But with regards to the multi-agents, is... Are these... I know that certain people ask me the question when it's a single AI bot, and they're saying, "Oh, I've got multi-agent being set up." Is this done within skills and projects within Claude, or is that something completely separate?
Nathan Gotch: Uh, those are kind of different, different mechanisms. A skill... A skill is something that allows the agent to do work correctly. But you can, you can isolate dedicated agents to a particular skill. You can do that. So, but I think honestly for, like, say, for most scenarios, like, that advanced setup is probably just redundant in many ways. You probably don't need to do it. And plus when you use an agent, like, you know, the, the memory will reset at a certain point, right? So, you know, the context window, once it ends, it, it's like you're starting from scratch with that agent again. So the only thing that really keeps you stable is the artifacts that you have on your desktop or wherever else you have your hosting, that those artifacts, which are really just Markdown files, right? So, so being really deliberate about that with documentation is so important. I have lost so many hours to bad documentation because I've, I've... I thought that you get a false belief that, like, the agent is going to remember things, and that's always a dangerous game to play. Like, just assume the agent is going to forget everything you did today and you start tomorrow, just pretend like you're starting fresh. And so with that mentality, you have documentation so the agent can go and see, "Okay, I've got context. Now I can do what I need to do." Right? So, but yeah, I mean, projects in Claude are useful because you can isolate a project, bring in context. You know, it's a good... It's just good for project management, really. So, yeah.
James Dooley: I think, I think it's key. I think the multi-agent systems are absolutely key. I think even if people are doing single AI bots and getting good results at present, like you said, the context window, it soon, soon fills up. You won't have a single person doing everything within a business from keyword research to building links to doing this to doing that. We've even broken down actual the way we write content with multi-agents. So we've got, like, a, a semantic content writer, a sales copywriter, and a compliance officer. So, and what we end up having is that with the compliance officer, because in the finance sector there's certain things we just cannot say. The compliance officer and the sales copywriter always seem to go into loggerheads, but we... He just kind of repeats it until the iteration that they've created, the article that they've created, all three say, "Now we are happy. Semantically it's written correctly, sales copywritten, it's going to convert, and it's compliant." Whereas sometimes the sales copywriter says things that the compliance officer says, "You can't say that." Um, and even if we train the sales copywriter up, it always seems to do certain stuff that is non-compliant. And that's where the, the multiple system need, needs to be set up.
Nathan Gotch: Yeah, that's a, that's a, that's a nice loop. That's a nice loop. Token optimisation as well. Um, using way less tokens. Um, it's not having to keep crawling all the way back up to learn everything every single time. So, I mean, that's another reason for, um, multiple kind of agent systems.
James Dooley: I think people just need to get used to it. Like, you won't hire one member of staff to do everything. You'd hire different members of staff. You kind of need to take that approach and set certain defined roles, um, with the multi-agent. But anyway, anyone who's watching this, are you setting up a multi-agent system, or are you still using the single AI bots? I'd love to know in the comment section. Make sure and you go and check out one or two of the other episodes that I go through with Nathan Gotch about the best AI search visibility tools, and also how to increase your AI search visibility, get cited more in ChatGPT and Anthropic, like Claude and Gemini, the AI Overviews and Google AI Mode. Nathan Gotch, it's been an absolute pleasure. Thank you very much.
Nathan Gotch: Thank you.