Golf

Schema markup for golf clubs: a plain English JSON-LD walkthrough

Schema markup is a block of structured data sitting in your site's code, invisible to a human visitor, written specifically for machines to read. It tells a crawler what kind of business you are, where you are, what you charge, and what you offer, in a format that removes any guesswork. For a golf club, it's one of the highest leverage, lowest cost fixes available, and in our testing it's also one of the most commonly mishandled.

Why golf clubs get this wrong more than most

A typical golf club site has its most valuable facts locked in the wrong place. Green fee pricing lives inside a booking widget that loads after the page renders. Membership categories sit in a downloadable PDF. Opening hours vary by season and only appear on a printed noticeboard photo. None of that is readable by an AI crawler, and none of it can populate a proper schema block, so the club ends up with either no structured data at all or a template block that was copied once and never updated.

Across the sites we've reviewed, broken schema shows up more often than missing schema. A block that exists but has the wrong business name in the name field, an empty phone number, or an address with no street, actively feeds AI systems incorrect information. That's a worse starting position than having no schema at all, because a model has no way to know the data is wrong.

The fields that actually matter

You don't need an exotic schema type. For most golf clubs, a GolfCourse or SportsActivityLocation type, nested inside a LocalBusiness block, covers what an AI model needs. The table below is what we check for first on every audit.

FieldWhat goes in itWhy it matters
nameYour club's actual trading name, exactly as it appears everywhere elseThe single most common error is this field containing address text instead of the business name
addressFull street address, not just a postcodePostcode only address is incomplete data, and it means the full address may not exist anywhere in plain text on your site either
telephoneOne number, matching the number in your page text and your Google Business Profile exactlyMismatched phone numbers across your own site, your tel link, and your Google listing actively undermine which source a model trusts
emailA real, monitored inboxFrequently left blank even when a schema block otherwise exists
openingHoursActual hours, including seasonal variation if it appliesLets a model answer "is it open now" or "what time does the course close" directly
priceRangeAn honest indication such as green fee or membership bandingGives a model something concrete to cite instead of guessing or omitting price entirely
amenityFeatureDriving range, pro shop, clubhouse dining, buggy hire, and so onLets AI match your club to specific buyer questions like "golf club with a driving range near me"
sameAsLinks to your Google Business Profile, Facebook page, and any review platformsHelps a model connect your website to the review and reputation data it already trusts elsewhere

A note on accuracy over completeness

It's tempting to fill every possible field schema.org supports. Resist it. A shorter block with eight accurate fields does more for AI visibility than a long block with three wrong ones. If a piece of information changes seasonally, such as opening hours or green fee pricing, it needs a process for keeping the schema updated alongside the page content, not a one time setup that quietly goes stale.

Where to check your own site

Google's Rich Results Test and Schema.org's own validator will both parse your existing markup and show you what's actually there, field by field. Run your homepage through one of them and compare what comes back against the table above. Most clubs are surprised by the gap between what they assumed was set up correctly and what the validator actually returns.

The wider point

Schema markup on its own won't make an AI assistant recommend your club. It's one input among several, alongside content depth, review strength, and whether your site is genuinely crawlable in the first place. But it's also one of the few fixes that can be done correctly in an afternoon, with no design changes and no rebuild, which makes it one of the first things worth getting right.

Find out if your club's schema is helping or hurting you.

Our AI Recommendation Score checks structured data, NAP consistency and three other categories, then hands you a ranked fix list. Start with a free AI Snapshot.

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