Structured data that makes your locations machine-readable.
Every page ships with comprehensive schema markup. Google, Bing, and AI answer engines know exactly what your business is, what you sell, and how to order.
Schema Types We Implement
Eight or more structured data types on every location page. Not a template. Not a plugin. Hand-mapped to your actual business data.
Restaurant / LocalBusiness
The foundational schema type. Name, address, phone, hours, coordinates, cuisine, price range — everything a machine needs to identify your business.
Menu + MenuItem
Full menu structure with item names, descriptions, and prices. Answer engines can cite your actual menu when someone asks what you serve.
AggregateRating + Review
Star ratings and individual reviews with Verified Buyer attribution. Structured proof that real customers recommend your business.
FAQPage
Common questions and answers in a format Google and AI assistants can surface directly. Catering minimums, parking, allergens — answered before the call.
BreadcrumbList
Hierarchical navigation markup. Machines understand where this page sits in your brand structure — state, city, neighborhood, location.
OrderAction
Direct ordering deep links wired into structured data. When an AI says "you can order from them here," the link goes to your system, not a marketplace.
HowTo
Step-by-step instructions for catering orders, large-party reservations, or pickup procedures. Structured so assistants can walk a user through it.
Speakable
Marks content as suitable for voice readout by Siri, Google Assistant, and Alexa. Your business described in your words, not a machine summary.
Being recommended by an AI is not about keywords.
It is about giving the machine structured facts to cite.
When ChatGPT or Perplexity answers "where to eat near me," they need structured, citable sources. Schema markup makes your pages those sources. Without it, you are invisible to answer engines.
AI models do not read your website the way a human does. They parse structured data, extract facts, and decide whether those facts are complete enough to cite. A page with comprehensive schema gives the model everything it needs: name, location, menu, prices, reviews, ordering links. A page without schema is a wall of unstructured text that the model skips.
This is the new discovery layer. Not ten blue links. Not paid ads. A direct recommendation from an AI assistant to a person ready to act. The businesses that show up are the ones that gave the machine something to work with.
What Your Competitors Are Doing
Zero structured data
Most restaurant websites ship no schema markup at all. They are completely invisible to answer engines.
Basic LocalBusiness and nothing else
Most agencies add a single LocalBusiness schema block and call it done. Name, address, phone. That is table stakes from 2018.
PageLeap: 8+ schema types per page
Every location page carries Restaurant, Menu, MenuItem, AggregateRating, Review, FAQPage, BreadcrumbList, OrderAction, HowTo, and Speakable markup.
The gap is binary
The difference between being found and being invisible is whether a machine can read your page. There is no middle ground.
Questions about structured data
Structured data is machine-readable markup embedded in your web pages that tells search engines and AI assistants exactly what your business is, what you sell, and how to order. Without it, AI systems have to guess — and they usually skip you in favor of a competitor whose pages they can parse.
Eight or more per location page: Restaurant/LocalBusiness, Menu, MenuItem, AggregateRating, Review, FAQPage, BreadcrumbList, OrderAction, HowTo, and Speakable. The exact set depends on the page type.
No. PageLeap generates schema markup automatically from your live business data. When your menu prices change in your ordering system, the schema on your pages updates too. No manual tagging, no plugins, no developer required.
AI answer engines need structured, citable facts to make recommendations. A page with comprehensive schema gives the model everything it needs: verified name, address, menu with prices, customer reviews, and ordering links. A page without schema is unstructured text the model is less likely to cite.
Most agencies add a single LocalBusiness schema block — name, address, phone number. That was adequate in 2018. PageLeap implements 8+ schema types per page, mapped to live data from your ordering system. It is a structural difference, not a marginal one.
Yes. PageLeap includes Speakable schema markup on every page, which tells Siri, Google Assistant, and Alexa which content is suitable for spoken readout. Your business gets described in your words, not a machine-generated summary.