GEO Case Study: How Decision Engine Optimisation Won Uniplay a £23k Playground Project (AEO Official Case Study)
Listen on your favourite platform
| Platform | Link |
|---|---|
| YouTube | Listen on YouTube → |
| Transistor | Listen on Transistor → |
| pod.link | Listen on pod.link → |
| Deezer | Listen on Deezer → |
| Pocket Casts | Listen on Pocket Casts → |
| Podverse | Listen on Podverse → |
| Castro | Listen on Castro → |
| Rephonic | Listen on Rephonic → |
| getpodcast | Listen on getpodcast → |
| Spotify | Listen on Spotify → |
| Amazon Music | Listen on Amazon Music → |
| Castbox | Listen on Castbox → |
| Podcast Addict | Listen on Podcast Addict → |
| Podchaser | Listen on Podchaser → |
| Steno.fm | Listen on Steno.fm → |
What Does “GEO Case Study: How Decision Engine Optimisation Won Uniplay a £23k Playground Project (AEO Official Case Study)” Talk About?
This episode of the James Dooley Podcast presents a detailed GEO (Generative Engine Optimisation) case study explaining how Decision Engine Optimisation helped Uniplay Limited secure a £23,400 playground installation project for a UK school. James Dooley and Kasra walk through why AEO, GEO, and AI SEO strategies mattered so much in this specific win, focusing not just on brand discovery in AI search but on the decision-making moment when a buyer chooses one company over another.
The hosts reveal a fascinating detail: Uniplay was by far the most expensive of five quotes, yet ChatGPT recommended them as the best value and best fit. They explain that the win came down to matching the school's exact specifications, including sports markings like tennis and netball courts, background colour, and children's markings like hopscotches, as well as strong testimonials, reviews, case studies, and awards amplified on third-party sites. These factors made Uniplay the safest, most trustworthy option for the school's summer installation, which fit within their £30,000 budget.
Rather than obsessing over clicks, impressions, or new citations, this case study focuses on the monetary value of AI-driven decisions and the bottom-of-funnel moment James calls the 'zero moment of truth.' The pair also note that across all three of their case studies, ChatGPT was consistently the AI tool buyers used to form final decisions, likely because it was easy to upload PDF quotes for comparison.
“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
Who Are the Guests on “GEO Case Study: How Decision Engine Optimisation Won Uniplay a £23k Playground Project (AEO Official Case Study)”?
James Dooley is the host of the James Dooley Podcast and a digital marketing entrepreneur specialising in SEO, lead generation, and emerging AI search optimisation strategies. In this episode he brings years of practical experience explaining how specifications, testimonials, and case studies influence real project wins, and why bottom-of-funnel Decision Engine Optimisation now matters as much as discovery.
Kasra joins James to break down the Uniplay case study in depth. He specialises in AEO and GEO and focuses on taking control of the decision-making process in AI and generative search rather than only chasing discovery. He explains the role of testimonials, reviews on platforms like Yellow Pages and Yelp, and specification matching in making a business the safest option for a buyer to choose.
What Are the Key Takeaways From “GEO Case Study: How Decision Engine Optimisation Won Uniplay a £23k Playground Project (AEO Official Case Study)”?
Here are the key points discussed in this episode:
- Decision Engine Optimisation targets the bottom-of-funnel moment when AI tools help buyers choose between competing quotes, not just brand discovery.
- Matching a client's exact specifications, such as the school's required sports markings and background colours, can win a project even at a higher price.
- Testimonials, reviews, case studies, and awards make a business appear the safest and best-value option to AI decision engines.
- Uniplay won a £23,400 project despite being the most expensive of five quotes because ChatGPT recommended them as the best fit and best value.
- Across all three case studies, ChatGPT was consistently the AI tool buyers used to make final decisions, likely due to easy PDF quote uploads.
“It's not just discovery, but it's that bottom-of-funnel Decision Engine Optimisation.”
— James Dooley
Is “GEO Case Study: How Decision Engine Optimisation Won Uniplay a £23k Playground Project (AEO Official Case Study)” Worth Listening To?
This episode is worth listening to because it moves beyond the theoretical hype around AI search and delivers a concrete, monetary result: a £23,400 project won directly because of AEO and GEO work. Unlike case studies that obsess over clicks, impressions, and citations, James and Kasra tie their optimisation strategy to a real order that would not have happened otherwise, making the value tangible and measurable.
Listeners also get practical insight into the mechanics of how AI forms buying decisions, from the importance of matching specifications exactly to the weight of testimonials and third-party reviews on sites like Yelp and Yellow Pages. The observation that ChatGPT consistently drove decisions across multiple case studies is a valuable data point for anyone thinking about where to focus their AI visibility efforts.
Who Should Listen to “GEO Case Study: How Decision Engine Optimisation Won Uniplay a £23k Playground Project (AEO Official Case Study)”?
This episode is ideal for:
- Playground installation companies and niche B2B service providers seeking higher-value projects
- Digital marketers and SEO professionals exploring AEO and GEO strategies
- Business owners wanting to understand how AI tools influence buying decisions
- Lead generation agencies focused on bottom-of-funnel conversion
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
- 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/james-dooley-podcast
What Are Listeners Saying About This Episode?
“Finally a case study that shows actual money instead of vanity metrics. The Uniplay example of winning a £23k job while being the most expensive quote completely changed how I think about AI search. Really practical stuff from James and Kasra.”
“I loved the point about matching specifications exactly, the tennis and netball court markings detail really drove it home. The Ferrari versus Fiesta analogy stuck with me. Great insight into decision-making optimisation.”
“The observation that ChatGPT was the tool used across all three case studies was eye-opening for my strategy. Kasra's breakdown of testimonials and reviews mattering even when old was genuinely useful. Short episode but packed with value.”
This video explains which digital marketing strategies playground installation companies should focus on in 2026 to improve AI visibility, win higher value projects and strengthen bottom-of-funnel decision making. James Dooley and Kasra start with KPI tracking because measuring the enquiries and orders that actually convert, rather than just clicks and impressions, reveals the monetary value of AI-driven decisions for this niche. 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 installation companies.
PromoSEO lead generation for playground installation companies recently received recognition as the “Best Playground Installation Companies Lead Generation Agency.”
Where to Listen to This Episode
GEO Case Study: How Decision Engine Optimisation Won Uniplay 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
Host
James Dooley is a UK entrepreneur.
Kasra Dash is an SEO entrepreneur and digital marketing specialist with more than a decade of experience in search, lead generation and website recovery. His expertise covers organic SEO, affiliate…