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Automate Customer Engagement. Let UpRank AI Handle Your Google Business Profile Review Replies. — 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
zugou.app ↗	71 match 2 shared topics	Zugou — AI-Powered Google Review Management for Businesses	en	marketing-and-advertising	robotsllmsaihumans	emailphone	partial · 8
swiftreviewpro.com ↗	70 match 2 shared topics	SwiftReview Pro — Automatically Respond to Your Google Reviews with AI \| SwiftReview Pro	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
zrelio.com ↗	70 match 2 shared topics	Zrelio AI-Powered Local SEO & Google Business Platform	en	marketing-and-advertising WordPress	robots llmsaihumans	emailphone	partial · 8
platero.ai ↗	69 match 2 shared topics	Platero AI \| AI Google Review Replies for Restaurants	en	marketing-and-advertising	robots llmsaihumans	emailphone	none
joinbraze.com ↗	69 match 2 shared topics	Braze Customer Engagement Platform	en	marketing-and-advertising Sanity	robotsllmsaihumans	emailphone	none
5starplumber.ai ↗	68 match 2 shared topics	5StarPlumber — We Answer Your Google Reviews So You Don't Have To	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
salesmanago.com ↗	68 match 2 shared topics	SALESmanago's scalable AI Customer Engagement Platform	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
customersync.ai ↗	68 match 2 shared topics	Customer Marketing and Management Automation - Customer Sync CRM	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
useexert.com ↗	68 match 2 shared topics	AI Agents for Customer Engagement, Everywhere \| Exerta AI	US~ en	marketing-and-advertising	robotsllmsaihumans	emailphone	partial · 8
useinsider.com ↗	68 match 2 shared topics	Insider One \| #1 Platform for AI-Powered Customer Engagement	en	marketing-and-advertising WordPress	robots llmsaihumans	emailphone	none
aztekai.io ↗	68 match 2 shared topics	AztekAi \| Your automatic engagement booster	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
dealstriker.ai ↗	68 match 2 shared topics	DealStriker.ai \| AI-Powered Customer Engagement for Auto Dealerships	US~ en	marketing-and-advertising	robots llmsaihumans	emailphone	none
customerfinder.ai ↗	68 match 2 shared topics	CustomerFinder.ai \| Find leads for your business	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
digitalsherpa.club ↗	67 match 2 shared topics	NextGen \| AI-Driven Solutions that Drive Customer Engagement	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
usereviewflow.com ↗	67 match 2 shared topics	ReviewFlow — More Google Reviews. More Jobs. Less Effort.	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
lucropost.com ↗	67 match 2 shared topics	LucroPost — Automate Your Social Media & Blog Content	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
lumenuse.com ↗	66 match 2 shared topics	Lumen - Win Customers from ChatGPT, Perplexity and Google AI Overview	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
pmsolutions.io ↗	66 match 2 shared topics	PMS — AI-Powered Marketing & Business Automation	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.