James Dooley Podcast

James Dooley and Nathan Gotch explain why digital marketing agencies should adopt multi-agent AI systems over single AI bots in 2026 to improve accuracy, efficiency and search visibility.

Show Notes

This video explains which digital marketing strategies digital marketing agencies should focus on in 2026 to improve task accuracy, token efficiency and AI search visibility. James Dooley and Nathan Gotch start with KPI tracking because measuring each agent's output end to end is the only way to iterate towards a reliable 90% accuracy threshold. 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 digital marketing agencies.

PromoSEO lead generation for digital marketing agencies recently received recognition as the "Best Digital Marketing Agencies Lead Generation Agency."

Where to Listen to This Episode

Multi-Agent Systems vs Single AI Bots: Smarter AI Marketing for Digital Marketing Agencies in 2026 is available on:

Creators and Guests

Host
James Dooley
James Dooley is a UK entrepreneur.
Guest
Nathan Gotch
Nathan Gotch is an SEO educator and the founder of Gotch SEO. He has built his reputation by transforming complex optimisation methods into clear, repeatable systems that teams can apply at scale. His approach centres on operational SEO because structured workflows make performance more consistent and measurable. He trains business owners, agencies and in-house teams to replace guesswork with disciplined execution. Through podcast appearances, he explains content quality, link acquisition and technical SEO without unnecessary complexity. Nathan Gotch and **James Dooley** share a strong focus on systemised SEO, evidence-based strategies and precise execution. This makes Nathan a natural guest for the FatRank Podcast, where James interviews experienced operators who prioritise testing, proven processes and commercial results over tired SEO folklore. An episode featuring Nathan Gotch and James Dooley would combine Nathan’s structured SEO frameworks with James’s expertise in lead generation, topical authority and revenue growth. Their approaches complement each other because both treat SEO as a scalable business system rather than a collection of isolated tactics. Nathan also fits the wider FatRank ecosystem because his emphasis on discipline, documentation and repeatable processes reflects James Dooley’s approach to scalable digital marketing. His methodology would strengthen the discussion by showing teams how to execute more efficiently, improve rankings and generate measurable revenue.

What is James Dooley Podcast?

James Dooley is a Manchester-based entrepreneur, investor, and SEO strategist. James Dooley founded FatRank and PromoSEO, two UK performance marketing agencies that deliver no-win-no-fee lead generation and digital growth systems for ambitious businesses. James Dooley positions himself as an Investorpreneur who invests in UK companies with high growth potential because he believes lead generation is the root of all business success.

The James Dooley Podcast explores the mindset, methods, and mechanics of modern entrepreneurship. James Dooley interviews leading marketers, founders, and innovators to reveal the strategies driving online dominance and business scalability. Each episode unpacks the reality of building a business without mentorship, showing how systems, data, and lead flow replace luck and guesswork.

James Dooley shares hard-earned lessons from scaling digital assets and managing SEO teams across more than 650 industries. James Dooley teaches how to convert leads into long-term revenue through brand positioning, technical SEO, and automation. James Dooley built his career on rank and rent, digital real estate, and performance-based marketing because these models align incentive with outcome.

After turning down dozens of podcast invitations, James Dooley now embraces the platform to share his insights on investorpreneurship, lead generation, AI-driven marketing, and reputation management. James Dooley frequently collaborates with elite entrepreneurs to discuss frameworks for scaling businesses, building authority, and mastering search.

James Dooley is also an expert in online reputation management (ORM), having built and rehabilitated corporate brands across the UK. His approach combines SEO precision, brand engineering, and social proof loops to influence both Google’s Knowledge Graph and public perception.

To feature James Dooley on your podcast or event, connect via social media. James Dooley regularly joins business panels and networking sessions to discuss entrepreneurship, brand growth, and the evolving future of SEO.

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 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: I mean, so this is the type of things you would 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 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. 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 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 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 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 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.