30-second summary

  • A caterer is marked up with FoodEstablishment (≠ Restaurant): no premises or dining-room hours, but an area served and packages.
  • Key properties: servesCuisine, areaServed (area), makesOffer (packages), real reviews.
  • Done well, it helps you be cited by ChatGPT for "a caterer for an office party".
  • Absolute rule: mark up only the true and visible. No fake rating, no invented area.
The key idea The structured-data principle is the same as for a restaurant — we explain it in this guide. The difference for a caterer: you do not describe a dining room with hours, but a service that travels across an area, with event packages. Hence an adapted type and properties.

This guide expands on the fourth lever of our pillar article on the Local Pack. It is the most technical, but also the one that prepares for the future: as search shifts towards AI answers, caterers whose data is structured gain a head start — all the more so since very few have done it.


The right type: FoodEstablishment, not Restaurant

The reflex would be to use the Restaurant type. Bad idea for a caterer: that type assumes a place where people eat on site, with opening hours and a dining-room menu — none of which match your activity. A caterer is better described with FoodEstablishment, the general category of food services, emphasizing what truly defines you: the catering service type, the cuisine, the area served and the packages.

Faithfully marking up a catering service is more accurate — and more effective — than restaurant markup pasted onto something that isn't one.


The properties that matter for a caterer

PropertyWhat it describes
nameThe exact service name (consistent with your NAP).
servesCuisineThe cuisine type(s) offered.
areaServedThe area served (cities, regions) — the structured equivalent of your listing.
makesOfferThe event packages and offerings.
telephone / urlThe phone and the website address.
aggregateRatingThe average rating — only if it is real and shown on the page.

What it looks like in code

The markup takes the form of a JSON-LD block placed in the page. Simplified example (adapt it to your real information):

<script type="application/ld+json"> { "@context": "https://schema.org", "@type": "FoodEstablishment", "name": "Your catering service's name", "servesCuisine": ["Market cuisine", "Cold buffet"], "areaServed": ["Montreal", "Laval", "South Shore"], "telephone": "+1-514-000-0000", "url": "https://your-caterer.ca", "makesOffer": { "@type": "Offer", "name": "Corporate reception package", "description": "Buffet and service for corporate events" } } </script>

Each value must reflect the reality of your service and match what is shown on the page. This code is a starting point, not a copy-paste: accuracy is what gives it value.


Rich results: an asset, not a guarantee

Clean markup makes your information eligible for richer displays in Google. But eligible does not mean guaranteed: Google alone decides, based on page quality and data consistency. Be wary of anyone promising "guaranteed stars". This principle is identical for every business — we detail it on the restaurant side.

Does your catering service speak the language of Google and AI? Get a free audit of your markup and visibility — delivered as a PDF report within 24 hours.

Explore our services for caterers →

Being cited by AI: tomorrow's visibility

More and more clients no longer type keywords: they ask. "A caterer for a 100-guest wedding on the South Shore", "a vegan corporate buffet service in Montreal" — to ChatGPT, Gemini, or in Google's generated answers. These systems rely on clear, structured information to recommend.

A caterer whose site exposes consistent Schema (service type, cuisine, area, packages) provides exactly the data these AI need to understand it and, where relevant, cite it. It is not a guarantee — no one can promise that — but a total lack of structure makes a catering service much harder to interpret. This is GEO (generative engine optimization): ground almost untouched by caterers, hence a rare chance to get ahead.


The mistakes never to make

  • Using the Restaurant type for a service with no hall or opening hours.
  • Marking up an area you do not serve or packages absent from the page.
  • Inventing reviews or a rating. Forbidden by Google, risky for your reputation — all the more so since your reviews are rare and precious.
  • Forgetting to update: if your area or packages change, the markup must follow.
The golden rule of Schema Mark up only what is true and visible on the page. Structure amplifies your reality — it must never disguise it. For a caterer whose reputation is built on trust, it is also the best long-term protection.

Frequently asked questions — FoodEstablishment Schema and AI

For a caterer, the Restaurant type fits poorly: it assumes a place where people eat on site, with opening hours and a dining-room menu. A caterer is better described with the FoodEstablishment type (the general category of food services) or a more precise type matching a catering service, emphasizing the area served and the offerings rather than premises. The key is to mark up what genuinely defines your activity: service type, cuisine, area, packages. Markup faithful to a catering service is more accurate — and more effective — than restaurant markup pasted onto something that isn't one.

The area served is described with the areaServed property, which lists the cities or regions you cover — the structured equivalent of the area defined on your Google listing. Packages and offerings are described with offers (makesOffer), which let you present your event formats in a machine-readable way. The key is that this data matches exactly what is shown on the page: the same areas, the same packages. Markup only expresses, in a standardized language, what the visitor already reads; it must never invent an area or an offer absent from the page.

No, and you should be wary of any guarantee. Markup makes your information eligible for rich results, but Google alone decides whether to display them, based on page quality, data consistency and many other factors. Clean markup faithful to the visible content gives you the best chance, without guaranteeing anything. Conversely, markup describing information absent from the page may be ignored, or even considered misleading. The principle is identical for every business; we detail it on the restaurant side.

AI assistants build their recommendations from clear, structured information. When a client asks 'a caterer for an office party in Montreal', the AI relies on sources that unambiguously describe the service type, area and offerings. A caterer whose site exposes consistent Schema provides exactly that data, making it interpretable and, where relevant, citable. It is not a guarantee of being named, but a total lack of structure makes a catering service much harder for an AI to understand. It is ground still largely unoccupied by caterers — an edge to take early.

Yes, but only if they are real and shown on the page. Review markup must never invent a rating or reuse reviews absent from the site. Google explicitly forbids markup of fake reviews, and it can lead to a penalty. For a caterer whose reviews are rare but precious, the temptation to 'inflate' is all the more risky: the rule stays that what you mark up must match exactly what the visitor sees. Honesty and consistency above all — it is also what protects your reputation in the long run.


Go further

Schema complements the more "human" levers of local visibility:

Prefer we handle it? That is exactly what NEXTIWEB does. We add clean, faithful FoodEstablishment Schema to your site (area, packages, cuisine) and structure your pages for classic search as well as AI answers. Explore our services for caterers →

Is your catering service understandable to Google and AI? Get a free audit of your markup and local visibility — delivered as a personalized PDF report within 24 hours.

Explore our services for caterers →