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Increase positive reviews with Activate Reviews Reputation Management — 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
onlinereputation.com ↗	73 match 2 shared topics	Online Reputation Management & Repair Services	en	marketing-and-advertising WordPress	robots llmsaihumans	emailphone	none
topreputationca.com ↗	72 match 2 shared topics	Reputation.ca™ \| Online Reputation Management Services	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
corereputationca.com ↗	72 match 2 shared topics	Reputation.ca™ \| Online Reputation Management Services	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
onlinereviws.com ↗	71 match 2 shared topics	Review Management \| Managed & Hands Off Online Reviews By Reviewr	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
onlineiswhatwedo.com ↗	70 match 2 shared topics	Online Review Management for Businesses \| LLC \| Online Is What We Do	en	business	robotsllmsaihumans	emailphone	none
2perks.com ↗	69 match 2 shared topics	2Perks - Collect Feedback and grow Your Reputation. \| 2perks - Smart Review Management for Local Businesses	en	marketing-and-advertising	robots llmsaihumans	emailphone	none
topstaffreviews.com ↗	68 match 2 shared topics	VIS Brand Manager - Simplify Review Management	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
badreviewremover.com ↗	68 match 2 shared topics	Reputation Rescuer - Remove Bad Reviews Online - Guaranteed Bad review removal Google	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
toptrustedrevu.com ↗	67 match 2 shared topics	TrustedRevu – Review Management for Life, Not Monthly	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
incenthub.com ↗	66 match 2 shared topics	IncentHub — Attribution-First Incentive Management	en	business	robotsllmsaihumans	emailphone	none
onewayloyalty.com ↗	66 match 2 shared topics	Customer Loyalty Management Programs \| Platform & Software	MY~ en	marketing-and-advertising	robotsllmsaihumans	email phone	none
onestorehub.com ↗	66 match 2 shared topics	Your Central Hub for Online Store Management	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
increaseonlinereviews.com ↗	66 match 2 shared topics	Boost Your Business with More Reviews - Expert Insights and Strategies	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
1tosocial.com ↗	66 match 2 shared topics	All in one Social Media Management Tool \| 1toSocial	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
impartner.com ↗	66 match 2 shared topics	Impartner: The #1 Rated Partner Management Platform	en	business WordPress	robotsllmsaihumans	emailphone	none
impvent.com ↗	65 match 2 shared topics	Dynamic Paywalls & Content Monetization \| Flip-Pay \| Increase Revenue	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
sponsorbase.app ↗	65 match 2 shared topics	SponsorBase \| Sponsor management without the spreadsheet chaos	en	business	robotsllmsaihumans	emailphone	none
brandmaker.com ↗	65 match 2 shared topics	BrandMaker is now Uptempo \| Marketing Resource Management	en	marketing-and-advertising WordPress	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.