The Direct Index
Report · scanned 2026-10-19

What an AI agent reads on Bar Caffettiera

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 caffettiera.ca, taken from the copy the scanner kept.

1,060

characters of text without JavaScript

LocalBusiness

structured data for the business

0

of 3 AI crawlers turned away at the edge

Text

The words an agent gets

Title: CAFFETTIERA · language en-US. First 1,060 of 1,060 characters:

CAFFETTIERA 0 Skip to Content ENG FR Open Menu Close Menu ENG FR Open Menu Close Menu ENG FR A stand-up coffee place.Caffettiera (moka coffee pot in italian) is a 90’s inspired Italian bar located in Montreal’s Golden Square Mile. For Italians, the “bar” is where one goes to take a break from the day. Our espresso is roasted in Italy and brewed to order from La SanMarco Leva machines as well as classic Bialettis. We serve espresso Italiano. About the Espresso Italiano experience at Caffettiera Learn more. About our equipment Learn more. BAR CAFFETTIERAEspresso - Cappuccino - Focaccia Sandwich - Rosette - Croissants - Cornetti - Aperitivi - Snacks - Sprits - Birra Peroni - Merende The 5 ‘‘M’’ rule for a good coffee:MiscelaMacinaturaMacchinaManutenzioneMano(The blend, The Grind, The Machine, The Maintenance, The Barista’s Hand) Buy an E-Gift cardhttps://mylightspeed.app/giftcard/0240631c-c80c-4c35-9ec1-cfd107c70af0/menu Via Stanley No. 2055Montréal, QcH3A 1R7No Reservations - No telefono APERTO TUTTI GIORNI 7h30-18hQuestions?: info@caffettiera.ca
Facts

What it can say about the business

A business type in JSON-LDLocalBusiness
NameCaffettiera
Telephoneno
Addressyes
Opening hoursyes
Menu or price lista page on another site mylightspeed.app/giftcard/0240631c-c80c-4c35-9ec1-cfd107c70a
Cuisine in structured datano
JSON-LD blocks3 (LocalBusiness, Organization, WebSite)
Actions

The links it would act on

No booking or ordering link found. An agent has nothing to act on.

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.