What an AI agent reads on Lash Addicts London
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 lashaddictslondon.co.uk, taken from the copy the scanner kept.
933
characters of text without JavaScript
LocalBusiness
structured data for the business
0
of 3 AI crawlers turned away at the edge
The words an agent gets
Title: Lash Specialist and Trainer - London & Essex · language en. First 933 of 933 characters:
Lash Specialist and Trainer - London & Essex top of pageHomeServicesTrainingGalleryOffersFAQContactFoundationBeginnersStraight to VolumeMoreUse tab to navigate through the menu items.BOOK NOWLASH ADDICTS LONDON Lash Specialist and Accredited Trainer based in East London / EssexBOOK NOWABOUTMy name is Lauren Demetriou and I am a lash artist based in Barkingside, Essex. I have over 11 years experience in the lash industry and my services include classic and volume eyelash extensions and lash lifts. I have been trained by some of the best UK and international lash trainers and continue to update my skills with further development programs. In 2018, I completed my Adult and Education training course and I am now a London / Essex lash trainer offering numerous accredited lash courses and workshops for beginners through to advanced.Contact07931 565 538 lashaddictslondon@gmail.com©2020 by Lash Addicts Londonbottom of page
What it can say about the business
| A business type in JSON-LD | LocalBusiness |
| Name | Lash Addicts London |
| Telephone | 07931565538 |
| Address | yes |
| Opening hours | no |
| Menu or price list | nothing |
| Cuisine in structured data | no |
| JSON-LD blocks | 2 (LocalBusiness, PostalAddress, WebSite) |
The links it would act on
| Link | Role | Where it goes |
|---|---|---|
| booking.setmore.com/scheduleappointment/73ee33c9050d5f6ad3d3e1b077895a | booking | setmore, acting for the business |
| www.lashaddictslondon.co.uk/book-online | booking | the business's own site |
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.