Websites Using Wizzy

Wizzy is a tool that simplifies ecommerce site search, enabling users to find relevant products, pages, and information.

Categories: Search engine

Official website: https://wizzy.ai

27 websites using Wizzy

• xyxxcrew.com
• novology.com
• dove-india.com
• adventuras.in
• louisstitch.com
• twobrothersindiashop.com
• nashermiles.com
• littlethingsme.com
• carencurepharmacy.com
• bakker.com
• decathlon.com.ar
• jadeblue.com
• justherbs.in
• homeessentials.in
• lovebeautyandplanet.in
• technosport.in
• consciouschemist.com
• bellavitaorganic.com
• gocolors.com
• rforrabbit.com
• themancompany.com
• kushals.com
• bajaao.com
• kalkifashion.com
• jockey.in
• deodap.in
• westside.com

Wizzy is ranked #62 of 64 in Search engine by website adoption.

Search engine alternatives ranked by popularity

1. Algolia — 1,224 websites
2. Algolia InstantSearch — 1,106 websites
3. Elasticsearch — 430 websites
4. Addsearch — 0 websites
5. Apache Solr — 0 websites
6. Apisearch — 0 websites
7. Athena Search — 0 websites
8. Attraqt — 0 websites
9. Awesomplete — 0 websites
10. Baidu Search Box — 0 websites

Technologies commonly used with Wizzy

• Google Search Console — 100% co-occurrence
• Open Graph — 100% co-occurrence
• Google — 100% co-occurrence
• reCAPTCHA — 100% co-occurrence
• Shopify Plus — 100% co-occurrence
• HSTS — 100% co-occurrence
• hCaptcha — 100% co-occurrence
• reCAPTCHA Enterprise — 100% co-occurrence

How WhatStack detects Wizzy

WhatStack detects Wizzy by analyzing HTTP headers, HTML source code, JavaScript globals, meta tags, cookies, DNS records, and ads.txt entries using signature-based pattern matching across 10 different analyzers.

Frequently Asked Questions

What is Wizzy?

Wizzy is a tool that simplifies ecommerce site search, enabling users to find relevant products, pages, and information.

How many websites use Wizzy?

WhatStack has detected Wizzy on 27 websites in our database.

How do you detect Wizzy?

We analyze HTTP headers, HTML source, JavaScript globals, meta tags, cookies, DNS records, and ads.txt entries to identify Wizzy with high accuracy using signature-based pattern matching.