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Tutam AI | Managed Google & Bing Reputation for North America — 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
meg-mgmt.com ↗	71 match 1 shared topics	MEG. — Reputation Management Dubai \| Remove Google Reviews	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
tryupkept.com ↗	69 match 1 shared topics	UpKept — Done-for-you reputation management for roofers.	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
caventrallc.com ↗	69 match 1 shared topics	Caventra LLC - Google Review Removal & Reputation Management	en	marketing-and-advertising	robotsllmsaihumans	emailphone	partial · 8
guestheard.com ↗	69 match 1 shared topics	GuestHeard \| Reputation Management for Local Businesses	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
phonicmaps.com ↗	69 match 1 shared topics	Phonic Maps \| Digital Location & Reputation Management	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
360crue.com ↗	68 match 1 shared topics	Home • 360 Crue Online Reputation Management Services	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	email phone	none
celebrity-reputation-management.com ↗	68 match 1 shared topics	Celebrity Reputation Management for Public Figures	en	marketing-and-advertising	robots llmsaihumans	email phone	none
micromanagedmedia.com ↗	68 match 1 shared topics	MicroManaged Media \| Google Ads & Lead Generation for Contractors	en	marketing-and-advertising	robotsllmsaihumans	email phone	none
ranktitan.ai ↗	68 match 1 shared topics	RankTitan.AI \| Google Business Profile Management & Local SEO Automation	United States~ en	marketing-and-advertising	robots llmsaihumans	email phone	none
mkvarda.com ↗	68 match 1 shared topics	MK Varda: Google Business Profile Management for UK Businesses	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
raterz.io ↗	68 match 1 shared topics	Raterz — Online Reputation & Review Management Platform	United Arab Emirates~ en	marketing-and-advertising	robots llmsaihumans	emailphone	none
hachemarketing.com ↗	68 match 1 shared topics	Hache Marketing \| Reputation Management \| Google Advertising \| HVAC \| Driving Schools	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
serpridge.com ↗	68 match 1 shared topics	SEO Analytics for Google & Bing: All in One Dashboard	en	marketing-and-advertising	robots llmsaihumans	emailphone	none
phoenixreputation.com ↗	68 match 1 shared topics	Phoenix Reputation - For HVAC & Plumbing Companies	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
asharpproduction.com ↗	67 match 1 shared topics	Online Reputation Management Company - Affordable Services	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
rankmygmb.com ↗	67 match 1 shared topics	Google Business Profile Management Software \| RankMyGMB	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
mikethereviewsguy.com ↗	67 match 1 shared topics	Mike The Reviews Guy - Reviews and Reputation Management	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
milesmcnair.com ↗	67 match 1 shared topics	Miles McNair — 90-Day Google Ads Transformation for E-commerce Brands	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.