An AI assistant can't walk into your golf club, can't take a phone call, and can't judge your service in person. Every answer it gives is built from what it can crawl and what it can find cited elsewhere. That makes the underlying signals more mechanical than most businesses assume, and more fixable too. Here are the five that carry the most weight in our testing.
1. Crawlable, plain text content
If your services, pricing, location and specialism only exist inside an image, a PDF, or content that loads via JavaScript after the initial page render, an AI crawler may never see it. The fix is unglamorous: make sure the facts that matter (what you do, where, for whom, and roughly what it costs) exist as real, readable HTML text somewhere on your site, not locked behind a design choice.
2. Structured data (schema markup)
Schema markup is a machine readable layer that tells a crawler exactly what kind of business you are, your location, your hours, and your offerings, in a format designed to be read by software rather than a human. LocalBusiness and Organization schema are the baseline for most golf and local service businesses. It is low effort to implement and a direct, unambiguous signal, yet it's frequently missing entirely, including on well established sites with strong reputations.
3. Reviews and third party citations
AI models weigh recent, specific reviews and consistent third party mentions heavily as a trust signal, similar to how a search engine treats backlinks. A generic five star rating with no detail carries less weight than reviews that mention specifics, response times, named staff, or the exact job that was done. Consistency matters too. If your business name, address or phone number differ across your website, your Google listing, and directory sites, that inconsistency actively undermines the model's confidence in which listing is authoritative.
4. Specific, quotable content
There's a real difference between a homepage that says "quality service you can trust" and one that says "we've served the Wilmslow area since 2014, specialising in same day boiler repair, with a fixed call out fee." The second version gives an AI model a fact it can lift directly into an answer. The first gives it nothing to work with. This is consistently one of the highest leverage, lowest cost fixes we find, because it's a content and copy problem, not a technical one.
5. FAQ content that answers real buyer questions
The prompts people actually use with AI assistants are close to plain spoken questions: "is this club good for beginners," "do you offer emergency callouts," "how much does a golf break cost." A structured FAQ section answering that exact style of question, in plain language, on your own site, is one of the most direct ways to get your own words picked up in an AI answer rather than having the model reach for a third party source instead.
The common thread
None of these five signals require a rebuild. They are largely a content and structure exercise on a site that likely already exists. The businesses that show up strongly in our testing aren't necessarily the biggest or the most established, they're the ones whose sites give an AI model something specific and structured to work with. The ones that don't show up usually have the reputation to justify being named, they just haven't given any model a reason to trust that reputation yet.