What an AI agent reads on Gelso & Grand
An assistant's crawler fetches the page once, without running JavaScript, and reads the text, the structured data and the links. Below is what it gets from gelsoandgrand.com, taken from the copy the scanner kept.
724
characters of text without JavaScript
Restaurant
structured data for the business
0
of 3 AI crawlers turned away at the edge
The words an agent gets
Title: Home - Gelso & Grand | Italian Restaurant in Little Italy NYC · language en. First 724 of 724 characters:
Home - Gelso & Grand | Italian Restaurant in Little Italy NYC Skip to main contentWebsite Accessibility AssistanceWin $500! Enter by writing a dish review to help others. Drawing 11/1.Order OnlinePrivate EventsVIPMenuGelso & GrandhomeMore ReservationsContactGift CardsReinventing Little ItalyGelso & GrandREINVENTING LITTLE ITALY NYC RESTAURANTSITALIAN DINING EXPERIENCE NYCConceived by a Mulberry street local that was motivated to push the boundaries of a historic block that is in search of its reinvention — a vision now realized through one of the leading Italian restaurants in Little Italy.Load More ContentLoad More ContentOrder OnlineOpens in a new windowOpens an external siteOpens an external site in a new window
What it can say about the business
| A business type in JSON-LD | Restaurant |
| Name | Gelso & Grand - Gelso & Grand - SoHo |
| Telephone | +1 212-226-1600 |
| Address | yes |
| Opening hours | yes |
| Menu or price list | a menu or price-list page in HTML www.gelsoandgrand.com/menu |
| Cuisine in structured data | Italian Restaurant, Wine Bar, Cocktail bar |
| JSON-LD blocks | 1 (BreadcrumbList, GeoCoordinates, ImageObject, ListItem, OpeningHoursSpecification, OrderAction) |
The links it would act on
| Link | Role | Where it goes |
|---|---|---|
| www.order.store/store/gelso-%26-grand-soho/KFkrw5eCQQq2LfVeqSE-lw | ordering | ubereats_storefront, acting for the business |
| www.opentable.com/r/gelso-and-grand-reservations-new-york?restref=1091 | booking | opentable, a marketplace |
Everything here comes from fetching the homepage once as a crawler. The report turns it into a score and a list of fixes, with code to paste.