More players are choosing where to play by asking an AI assistant. They open ChatGPT and type something like “where can I play padel near me” or “good padel club for beginners in my city”. The assistant replies with a short, confident answer that names a few businesses. If your club is not one of them, you never knew the conversation happened.
The short answer
ChatGPT recommends businesses it can read and trust. Most padel clubs give it neither. The information an assistant needs is either missing from the website, buried inside images, or scattered across listings that disagree with each other. So the assistant does the safe thing: it recommends a club whose information it can actually parse.
This is not a judgement on your courts, your coaching, or your community. It is a judgement on how readable your business is to a machine.
How an AI assistant decides what to recommend
An assistant like ChatGPT does not crawl the web the way a search engine does and then show you ten links. It produces one answer. To do that for a local question, it leans on a mix of what it learned in training and what it can retrieve about your area right now.
In both cases it is looking for the same thing: clear, consistent, structured information. It wants to know what your business is, where it is, what it offers, and whether different sources agree. When that information is easy to find and internally consistent, the assistant can recommend you with confidence. When it is not, you become a risk the assistant avoids.
The five reasons padel clubs get skipped
Thin website content. If your site does not say, in plain text, that you offer padel courts, lessons, bookings, and where you are, an assistant has very little to work with.
No structured data. Schema markup tells a machine exactly what your business is. Without it, the assistant has to guess from layout and wording, and guessing makes it cautious.
Inconsistent details. If your name, address, phone number, or opening hours differ between your website, Google, and other listings, the assistant cannot tell which version is true. Contradiction reads as unreliability.
Information trapped in images. Prices, schedules, and contact details inside a graphic are invisible to a text-based system. If a human needs to look at a picture to get the facts, an assistant cannot get them at all.
No machine-readable signals. Modern, well structured sites publish content in ways machines can read easily, including a clean page structure and an llms.txt file. Sites that skip this are simply harder to use as a source.
What being visible looks like
A padel club that AI assistants can recommend has a website that states the essentials in clear text, marks up its business with valid schema, keeps its details identical everywhere they appear, and answers the real questions players ask before they book. None of this is glamorous. All of it is fixable.
The reward is straightforward: when a player asks an assistant where to play, your club is a name the assistant can give without hesitating.
How to check where you stand
You cannot fix what you have not measured. The first step is to find out how assistants describe your padel business today, and where the gaps are. That is exactly what a free AI visibility audit from Padel Visible does. It shows you where you are visible, where you are invisible, and what to fix first.
For a plain-language tour of how AI assistants choose what to recommend, and how SEO and GEO differ, see our AI visibility, explained guide.