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Upvix® | US Google Experts + Click Fraud Protection — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Marketing And Advertising →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
clickexposed.com ↗	91 match 1 shared topics	ClickExpose® \| UK Google Experts + Click Fraud Protection	GB~ en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
stopbots.app ↗	75 match 1 shared topics	StopBots — Click Fraud Protection for Google Ads	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
clickreport.com ↗	74 match 1 shared topics	Click Fraud Protection for Google Ads \| ClickReport	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
clickfraud.dev ↗	74 match 1 shared topics	Click fraud protection solution	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	partial · 1
clickfortify.com ↗	74 match 1 shared topics	Click Fraud Protection for Google, Meta & PPC \| $8/mo	US~ en	marketing-and-advertising WooCommerce	robotsllmsaihumans	emailphone	none
clickfence.io ↗	74 match 1 shared topics	Click Fraud Protection for Google Ads \| ClickFence	en	marketing-and-advertising	robotsllmsaihumans	emailphone	partial · 8
clickpatrol.com ↗	73 match 1 shared topics	Click Fraud Protection for Google & Meta Ads \| ClickPatrol™	en	marketing-and-advertising	robots llmsaihumans	emailphone	none
clickblocker.net ↗	72 match 1 shared topics	Click Blocker \| Click Fraud Protection	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
clickthrivemarketing.com ↗	69 match 1 shared topics	Expert In Google Ads & AI Marketing - Click Thrive Marketing	en	marketing-and-advertising WordPress	robots llmsaihumans	emailphone	none
clicksees.org ↗	68 match 1 shared topics	ClickCease™ - Block Click Fraud on Google, Meta & Microsoft	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
clicksees.net ↗	68 match 1 shared topics	ClickCease™ - Block Click Fraud on Google, Meta & Microsoft	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
clicksease.org ↗	68 match 1 shared topics	ClickCease™ - Block Click Fraud on Google, Meta & Microsoft	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
clicksease.info ↗	68 match 1 shared topics	ClickCease™ - Block Click Fraud on Google, Meta & Microsoft	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
clicksease.net ↗	68 match 1 shared topics	ClickCease™ - Block Click Fraud on Google, Meta & Microsoft	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
clicklens.io ↗	68 match 1 shared topics	ClickLens - Click Fraud & Conversion Fraud Detection	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
rohitkungwani.com ↗	68 match 1 shared topics	Rohit Kungwani \| Digital Marketing Expert - SEO, Google Ads, Meta Ads Dubai	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
clickdirectconnectionusa.com ↗	67 match 1 shared topics	Direct Connection Advertising & Marketing \| Insurance Experts	en	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
clickexcessandsurplusconnection.org ↗	67 match 1 shared topics	Direct Connection Advertising & Marketing \| Insurance Experts	en	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.