Most of what makes a business visible to AI happens off your website: reviews, directories, community threads, local lists. Schema markup is one of the few pieces that lives entirely on your own site and is entirely in your control. It won't get you recommended on its own, but it removes doubt about who you are, and for a machine, doubt means friction. In this guide I explain what LocalBusiness schema is, why it matters for AI visibility, and how to add it without writing a line of code by hand.
What is schema markup?
Schema markup is structured data. It's a small block of standardized information you add to a web page, and it states facts in a format built for machines rather than people. A person reading your contact page understands your address and hours from context. A machine does better when it's told directly: this is the name, this is the street address, these are the opening hours, this is the category.
The vocabulary comes from schema.org, a shared standard that search engines and other systems agree to read. LocalBusiness is the schema type for what it sounds like, a business with a physical or service location. There are more specific subtypes too, such as ones for restaurants, medical practices, and gyms, that let you be even more precise.
The most common and recommended format is JSON-LD, a small script you add to your page. It sits in the page's code, visitors don't see it, and it speaks directly to the machines reading your site.
Why does it matter for AI visibility?
AI assistants build local recommendations from sources they trust. Your own website usually isn't the main source, but it's where facts get confirmed. If an assistant is weighing whether to name you, clean structured data makes the basic facts about your business clear and consistent, and that kind of clarity helps a machine talk about you with confidence.
Put simply, it's the difference between a model having to work out your hours from a paragraph and being handed them in a labeled field. The second is faster and less likely to go wrong. Schema doesn't replace the off-site work I cover in the sources AI trusts and how to get recommended by ChatGPT. It adds to it by making sure the one property you fully control is clear.
There's a search benefit too. Structured data helps search engines understand your pages, and it can enable rich results in classic search. So this is one of the few items that pays off in both GEO and SEO, which I get into in GEO vs SEO.
What should your LocalBusiness schema include?
At minimum, aim to cover these facts:
- Name. Your exact business name, matching your Google Business Profile.
- Address. Full street address, city, region, postal code, and country.
- Phone. A business number people can actually reach.
- Category or type. The most specific LocalBusiness subtype that fits.
- Opening hours. Structured hours, including any variations.
- URL. Your canonical website address.
- Geo coordinates. Latitude and longitude, if you serve customers at a physical location.
- Rating. Aggregate rating and review count, where you can represent them accurately.
The rule I'd hold onto is consistency. Every fact in your schema should match what's on your Google Business Profile and your other listings exactly. Conflicting information can do more harm than missing information, because inconsistency makes you look unreliable.
How to add it, the easy way
You don't need to write JSON-LD from scratch. The free schema generator runs fully in your browser: you fill in your business details and it produces valid LocalBusiness JSON-LD you can copy and paste. Nothing leaves your browser.
- Gather your facts
Pull your exact name, address, phone, hours, category, and website, ideally straight from your Google Business Profile so everything matches.
- Generate the markup
Enter those details into the schema generator and copy the JSON-LD block it gives you.
- Add it to your site
Paste the script into the head or body of your homepage, or your contact or location page. Most site builders and content systems have a custom code or embed block for this.
- Validate it
Use a structured data testing or rich results validation tool to confirm the markup is well formed and error free before you rely on it.
- Keep it in sync
When your hours, address, or phone change, update the schema at the same time you update your profile. Stale structured data can be worse than none, because it states something false with confidence.
Common mistakes to avoid
A few mistakes come up again and again:
- Marking up information that isn't on the page. Schema should describe what's actually on the page and true about your business, not extra detail you made up.
- Different facts on your profile, listings, and schema. Pick one source of truth and match everything to it. Your Google Business Profile is a good choice.
- Made-up ratings. Only include aggregate ratings you can back up with real reviews. Inventing them is both a policy violation and a trust risk.
- Setting it once and forgetting it. Businesses change, so treat schema as living information tied to your real details.
If I had to pick the one to watch most closely, it's the second. It's the easiest to cause by accident, for example when you update your hours on Google and forget the website.
Where schema fits in the bigger picture
I think of schema as the foundation, and the rest of your AI visibility as the building that sits on it. It makes the facts you control clear, which helps both AI assistants and search engines talk about you accurately. But it only works as part of the larger effort: a complete Google Business Profile, real and recent reviews, and correct listings on the sources AI actually cites. Add the markup, then put most of your energy into that off-site presence, because that's where most of AI visibility is won.
LocalSeen.ai scans ChatGPT, Claude, Gemini, and Google AI Overviews on a schedule and shows you whether you appear and why, so you can see whether all this is turning into actual recommendations. Once your facts are locked down with the free schema generator, run a scan to see where you stand.