What an AI agent reads on FML Let's Eat
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 fmlletseat.co.uk, taken from the copy the scanner kept.
281
characters of text without JavaScript, too few to answer questions from
Restaurant
structured data for the business
0
of 3 AI crawlers turned away at the edge
The words an agent gets
Title: FML Let's Eat | Pizza Takeaway in St Petersgate | Order Food Online · language en. First 281 of 281 characters:
FML Let's Eat | Pizza Takeaway in St Petersgate | Order Food Online FML Let's Eat | Pizza Takeaway in St Petersgate | Order Food Online FML Let's Eat is your go-to for authentic Pizza takeaway in St Petersgate. Order online and enjoy delicious food delivered straight to your door.
What it can say about the business
| A business type in JSON-LD | Restaurant |
| Name | FML Let's Eat |
| Telephone | 07878940116 |
| Address | yes |
| Opening hours | yes |
| Menu or price list | nothing |
| Cuisine in structured data | Pizza, Burgers, Alcohol |
| JSON-LD blocks | 4 (AggregateRating, EntryPoint, GeoCoordinates, ImageObject, OrderAction, Organization) |
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.