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ClientProof | Get More 5-Star Google Reviews Automatically — 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
laaiguy.com ↗	79 match 1 shared topics	LAAIGUY — Get More 5-Star Google Reviews	en	marketing-and-advertising Lightspeed	robotsllmsaihumans	emailphone	none
routemyreviews.com ↗	75 match 1 shared topics	Route My Reviews — 5-star Google reviews on autopilot	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
iconrev.com ↗	73 match 1 shared topics	Iconrev — Get more Google reviews with NFC & QR plates	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
robofivestar.com ↗	73 match 1 shared topics	RoboFiveStar — Automated 5-Star Reviews on Autopilot	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
yourlocalboost.com ↗	71 match 1 shared topics	Your Local Boost — Get More Customers with Google, Reviews & Social	en	marketing-and-advertising	robotsllmsaihumans	email phone	none
rocketyourrank.com ↗	71 match 1 shared topics	Rocket Your Rank — NFC + QR Google Review Cards	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
donesignal.com ↗	70 match 1 shared topics	DoneSignal — Automated Google Reviews for Local Service Businesses	en	marketing-and-advertising Paddle	robotsllmsaihumans	emailphone	none
2stepreviews.com ↗	70 match 1 shared topics	Get More 5-Star Reviews – 2 Step Reviews	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	partial · 8
agent-pro.agency ↗	70 match 1 shared topics	Agent Pro — More 5★ Reviews. More Repeat Customers. On Autopilot.	en	marketing-and-advertising Lightspeed	robotsllmsaihumans	emailphone	none
rocktownseo.com ↗	70 match 1 shared topics	Little Rock SEO Experts \| Get More Leads & Top Google Rankings	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
routineautomations.com ↗	70 match 1 shared topics	Google Reviews and Missed-Call Automation for Canberra Service Businesses \| Routine Automations	en	marketing-and-advertising	robots llmsaihumans	emailphone	none
5starsender.com ↗	69 match 1 shared topics	5StarSender - Get More Reviews	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
overvue.io ↗	69 match 1 shared topics	Overvue - All your Google Reviews, in one place	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
bananasforleads.com ↗	69 match 1 shared topics	Lead Monkey \| Lead Conversion Automation \| Get More Leads	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
backroomreviews.com ↗	69 match 1 shared topics	Backroom Reviews - Google Review Intelligence	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
adsoptimizer.dev ↗	68 match 1 shared topics	AdsOptimizer - Google Ads Automation Scripts	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
easygooglecustomerreviews.com ↗	68 match 1 shared topics	easy Google Customer Reviews — Google Reviews for Shopify	en	marketing-and-advertising Shopify	robotsllmsaihumans	emailphone	none
adretail.shop ↗	68 match 1 shared topics	AdRetail — Turn 1 Customer Into 2 New Customers Automatically	en	marketing-and-advertising	robotsllmsaihumans	emailphone	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.