Websites Using Ubersuggest

Ubersuggest is an SEO tool by Neil Patel for keyword research, site audits, and competitive analysis.

Categories: SEO

Official website: https://neilpatel.com/ubersuggest

23 websites using Ubersuggest

• digitalskola.com
• bononavidenoecuador.org
• consultasocial2026.org
• propertybyacres.com
• materializing-modernity.com
• blogtrend.co.uk
• ashrafzeeshan.com
• webpulseindia.com
• xemrush.click
• prideseotools.com
• jupiterseotool.com
• nkdesk.com
• charlesdemarcomd.com
• trickyenough.com
• ubersuggest.io
• morningscore.io
• grupo30.com
• bonoespecial2025.org
• sitechecker.pro
• keywordtool.io
• kissmetrics.com
• sav.com
• neilpatel.com

Ubersuggest is ranked #138 of 160 in SEO by website adoption.

SEO alternatives ranked by popularity

1. Schema.org — 124,520 websites
2. Google Search Console — 66,321 websites
3. Yoast SEO — 39,609 websites
4. Bing Webmaster — 12,137 websites
5. Ahrefs Site Audit — 3,603 websites
6. Ahrefs — 1,508 websites
7. Table of Contents Plus — 721 websites
8. SmartCrawl — 704 websites
9. WP Recipe Maker — 659 websites
10. 多合一搜索自动推送管理插件-支持Baidu/Google/Bing/IndexNow/Yandex/头条 — 0 websites

Technologies commonly used with Ubersuggest

• Open Graph — 91% co-occurrence
• HTTP/3 — 74% co-occurrence
• Cloudflare — 65% co-occurrence
• Schema.org — 61% co-occurrence
• PHP — 57% co-occurrence
• jQuery — 57% co-occurrence
• WordPress — 52% co-occurrence
• MySQL — 52% co-occurrence

How WhatStack detects Ubersuggest

WhatStack detects Ubersuggest 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 Ubersuggest?

Ubersuggest is an SEO tool by Neil Patel for keyword research, site audits, and competitive analysis.

How many websites use Ubersuggest?

WhatStack has detected Ubersuggest on 23 websites in our database.

How do you detect Ubersuggest?

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