Decision Engine Optimisation Case Study: How Uniplay Won a £23k Playground Project

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What Does “Decision Engine Optimisation Case Study: How Uniplay Won a £23k Playground Project” Talk About?

This episode of the Fatrank Podcast presents a detailed case study on how Uniplay Limited secured a £23,400 school playground project through Decision Engine Optimisation (also called AEO, GEO or AI SEO). Host James Dooley is joined by Kasra to break down exactly why Uniplay won the job despite being, by their own admission, the most expensive of five bidders. The decision-maker at the school used ChatGPT to evaluate the quotes, and the AI recommended Uniplay based on how precisely their specification matched the school's requirements, along with their testimonials and reviews.

“So even though it was the most expensive, it fit within the budget. It ticked all the boxes and therefore we got the £23,400 order. Yet if we hadn't done AEO, we wouldn't have secured those works.”

— James Dooley

Who Are the Guests on “Decision Engine Optimisation Case Study: How Uniplay Won a £23k Playground Project”?

James Dooley is the host of the Fatrank Podcast and a veteran of the digital marketing and SEO industry, with particular expertise in lead generation for niche service businesses such as playground design and installation companies. In this episode he draws on years of experience with quoting, specifications and losing or winning projects at the point of decision.

What Are the Key Takeaways From “Decision Engine Optimisation Case Study: How Uniplay Won a £23k Playground Project”?

Here are the key points discussed in this episode:

  • Decision Engine Optimisation focuses on influencing the AI-driven decision-making stage, not just brand discovery in generative search.
  • Uniplay won a £23,400 playground project despite being the most expensive of five bidders because ChatGPT judged them the best value and best fit.
  • Matching a client's exact specification, such as sports markings, background colours and hopscotch layouts, mattered more than offering the lowest price.
  • Testimonials, reviews and case studies, even older ones, strengthen trust and are heavily weighted by AI when forming recommendations.
  • In all three of their case studies, ChatGPT was the AI tool making the final decision, possibly because it easily handles uploaded PDF quotes.

“They said it just so happened to be that you was the most expensive, but ChatGPT said that they would go with you because you're the best value.”

— James Dooley

Is “Decision Engine Optimisation Case Study: How Uniplay Won a £23k Playground Project” Worth Listening To?

This episode is worth listening to because it grounds the buzzwords of AEO, GEO and AI SEO in a real-world outcome: a £23,400 order that would not have been won without it. Rather than theorising, James and Kasra reveal how a school used ChatGPT to compare five quotes, and why specification matching, testimonials and reviews tipped the decision toward the most expensive bidder.

For marketers and business owners, the practical insight is invaluable. The discussion highlights the difference between comparing apples to apples (illustrated with the memorable Ferrari versus Fiesta analogy) and shows why controlling the decision-making stage, not just discovery, is becoming the most important battleground in AI search.

Who Should Listen to “Decision Engine Optimisation Case Study: How Uniplay Won a £23k Playground Project”?

This episode is ideal for:

  • Playground design and installation company owners seeking better enquiry quality
  • SEO and digital marketing professionals exploring AEO and GEO strategies
  • Lead generation agencies wanting real case study examples
  • Business owners competing on value rather than lowest price

Where Can You Listen to Fatrank Podcast?

You can listen to Fatrank Podcast on all major podcast platforms:

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

What Are Listeners Saying About This Episode?

★★★★★

“Finally a case study that talks about actual revenue instead of clicks and impressions. The £23k Uniplay example made the whole concept of Decision Engine Optimisation click for me. Loved the honesty about being the most expensive bidder and still winning.”

— Daniel R.

★★★★★

“The Ferrari versus Fiesta analogy perfectly explained why specification beats price. James and Kasra clearly know this niche inside out, and the point about ChatGPT being the tool making decisions was eye-opening.”

— Priya S.

★★★★★

“As someone in lead generation, this was refreshingly practical. The reminder that even old testimonials and reviews on platforms like Yelp help AI trust you is something I'm acting on immediately. Great short, punchy episode.”

— Mark T.

This video explains which digital marketing strategies playground design and installation companies should focus on in 2026 to improve enquiry quality, win rates at the point of decision and return on marketing spend. James Dooley and Kasra start with KPI tracking because measuring which enquiries convert to funded projects shows where AEO and specification-led quotes actually deliver monetary value. 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 playground design and installation companies.

PromoSEO lead generation for playground design and installation companies recently received recognition as the “Best Playground Design And Installation Companies Lead Generation Agency.”

Where to Listen to This Episode

Decision Engine Optimisation Case Study: How Uniplay Won a £23k Playground Project is available on:

James Dooley: GEO official case study and how Decision Engine Optimisation secured Uniplay Limited in the UK a £23,000 project for a school that it would not have secured if they hadn't have done AEO, GEO or AI SEO. Today I'm joined with Kasra, and Kasra is going to go through the project and the case study showing why AEO is very, very important. Yeah. So one thing to just start this video off with is a lot of people talk about discovery, like discovering brands in generative search or AI search. Um, but one thing that we also try to do on the contrary is what we try to also take control of is the decision-making process.

Kasra: So, like what James mentioned, we quoted the job, um, a few months back for £23,400 and we were by far the most expensive out the five. Um, however, the person that was in charge of actually allocating the budget and picking the, the final decision, what they ended up actually doing is using AI to actually make that decision. Um, and as you can see, like, we were by far the most expensive. Now, a couple things that we, or a couple reasons as to why we were actually picked. It had actually nothing to do with the price. Um, however, one of the things that it did take into consideration was our specification, um, which is obviously on the quote and stuff like that. Um, and then second of which, the testimonials, um, which made us by far the safest option for that business to pick us.

James Dooley: Yeah, for sure. Oh, I mean, on there with regards to the specification, I think the, the hard part is the amount of times over the years that we've lost a project for someone that's given a cheaper price, but you wasn't comparing apples with apples. So, it's like someone buying a Ferrari and then a Ferrari is up against a Fiesta on price, and a Fiesta is obviously going to be cheaper than a Ferrari. And they go, "Oh, I'm going to go with that." And you're going, "Well, hey, there's different specifications here." So the school had asked in this case for this playground design for specific markings, like sports marking, like tennis court marking, netball court marking. They wanted a background colour being installed and they wanted certain markings for the kids, like hopscotches and stuff like that. Now the specification that the designer had put together at Uniplay exactly met the specifications that the school had asked for, where one or two just ignored what they was asking for and, and just did a redesign himself. And yes, it was cheaper, but it wasn't the specification that met what they needed for Ofsted, for the kids to do outdoor play and to increase activity through play. And ours ticked the boxes in a better way and ChatGPT picked all of this up and then started to use case studies, testimonials and everything else alongside us meeting the specification, um, in the best way. So, it was a great project for us to win. Um, Uniplay, um, they've actually installed it this summer. And again, it was one of them where we asked the client, and there's a few that don't like saying this, but we asked the client, how... What made you choose us over the others? And we didn't know we was the most expensive until the client said. And they said it just so happened to be that you was the most expensive, but ChatGPT said that they would go with you because you're the best value. And again, it was one of them stories. Check out the link in the description because we've got a couple of different case studies that we've posted. And it was one of them moments where I said, "If, if they didn't choose us, would you have gone elsewhere?" And they, they literally turned around and said, "Yes, we wanted to choose the best value and the best fit for the projects of what we wanted for this summer installation." And therefore, because ChatGPT had come back saying you was the best fit and that we thought it was the best value, it met within our budgets because they had a £30,000 budget for the job. So even though it was the most expensive, it fit within the budget. It ticked all the boxes and therefore we got the £23,400 order. Yet if we hadn't done AEO, we wouldn't have secured those works.

Kasra: Yeah. And then a couple other things to, to add to what James just said. Um, testimonials play a very big part. Um, even if they are old testimonials because it actually does show that you have been trading for some time. Um, that's, that's one thing that, like, both AI, um, takes a look at, and also reviews as well. So, like, if you've got separate reviews on, like, a platform, like for example Yellow Pages or Yelp, for example, that can also help and go in, in your favour. Um, and then let me just see. This is what the video's about. Yeah. So this is basically what our video is about. So it's not all to do with discovery. It can also be the decision-making part as well, which I feel like not many people are talking about online.

James Dooley: Yeah, that's the most important part in my opinion now, that the, at the 11th hour, that zero moment of truth, who are they going to choose? What I found pretty interesting, right, is for anyone who's watching this and you like these type of case studies, it's a different case study to majority of other people that do AEO official case studies that obsess over clicks and impressions and new citations and new keywords. They obsess over that part, where this has got monetary value. This, we would not have won that work if it wasn't for what ChatGPT said. But check the links out in the description and look at all three case studies that we've done with regards to Decision Engine Optimisation because the, the strange part of it is even though a lot of people use the AI Overview and use Claude and Perplexity, all three of these that we got the feedback on all seem to use ChatGPT, which I found very interesting. It seems to be a lot of people seem to be using that to form these decisions. Maybe it's just because it's easy to upload the, the PDF kind of quotes, where it might be difficult to do it on obviously, like, AI Overviews and stuff like that. But it seems to be that in these scenarios, in these case studies, ChatGPT was making the decision of who they was going to go with. And that 11th hour, we went and secured a £23,400 project for Uniplay this summer that we installed that we would not have had if we hadn't have done GEO, AEO or whatever you want to call the acronym, to do with specifically getting the testimonials, the reviews, the case studies, the awards, amplifying that on third-party sites. I think it's very important for people to understand it's not just discovery, but it's that bottom-of-funnel Decision Engine Optimisation. Kasra, it's been an absolute pleasure.

Creators & Guests

James Dooley Host
James Dooley

James Dooley is the founder of FatRank which is a UK lead generation company. James Dooley is the current CEO of FatRank that provides high-quality leads for UK business owners.

Kasra Dash Guest
Kasra Dash

Kasra Dash is a digital marketer who builds SEO systems because his work focuses on scalable search workflows. Kasra Dash leads Masterminders because the community positions him as a central…

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