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Sales | NEW Pricing 06-30-25 | AIMasher — 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
appinventivdigital.com ↗	64 match 2 shared topics	360° AI-First Marketing Agency for Enterprises \| Appinventiv Digital	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
salespug.com ↗	63 match 2 shared topics	SalesPug -- AI Marketing Agent	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
milgrommarketing.com ↗	63 match 2 shared topics	Milgrom Marketing \| AI-Powered Marketing & Sales Systems for Manufacturers	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
milgrom.io ↗	63 match 2 shared topics	Milgrom Marketing \| AI-Powered Marketing & Sales Systems for Manufacturers	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
hroymarketingagency.com ↗	63 match 2 shared topics	HROY Marketing Agency \| AI-Powered Marketing Pakistan	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
theblacksheep.ai ↗	63 match 2 shared topics	The Black Sheep AI \| AI Digital Marketing Agency LA	United States~ en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
farkhanshah.com ↗	63 match 2 shared topics	Best AI Automation in New Jersey \| Digital Marketing Company \| SEO Agency \| AI Automation Services \| Farkhan Shah	United States~ en	marketing-and-advertising	robots llms aihumans	email phone	none
chatwizs.com ↗	63 match 2 shared topics	ChatWizs \| AI-Powered WhatsApp Automation & Marketing Platform	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
teffety.digital ↗	63 match 2 shared topics	Teffety Digital Solutions \| AI-Driven Marketing Agency	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
the-brand-algorithm.com ↗	63 match 2 shared topics	The Brand Algorithm \| AI Marketing & Brand Strategy for CMOs	en	marketing-and-advertising Ghost	robotsllmsaihumans	emailphone	none
meetconversionmarketing.com ↗	63 match 2 shared topics	Conversion \| AI-Native B2B Marketing Automation Platform	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
myconversionmarketing.com ↗	63 match 2 shared topics	Conversion \| AI-Native B2B Marketing Automation Platform	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
withconversion.com ↗	63 match 2 shared topics	Conversion \| AI-Native B2B Marketing Automation Platform	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
workconversion.com ↗	63 match 2 shared topics	Conversion \| AI-Native B2B Marketing Automation Platform	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
appconversionai.com ↗	63 match 2 shared topics	Conversion \| AI-Native B2B Marketing Automation Platform	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
choiceconversion.com ↗	63 match 2 shared topics	Conversion \| AI-Native B2B Marketing Automation Platform	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
hqconversion.com ↗	63 match 2 shared topics	Conversion \| AI-Native B2B Marketing Automation Platform	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
hubconversion.com ↗	63 match 2 shared topics	Conversion \| AI-Native B2B Marketing Automation Platform	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.