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Myrivls alternatives & similar sites

Rivls - Competitive Intelligence That Runs Itself — 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
astiva.ai ↗	72 match 2 shared topics	Competitive Intelligence for AI Search and Visibility \| Astiva AI	India~ en	marketing-and-advertising	robots llmsaihumans	emailphone	none
myraven.ai ↗	71 match 2 shared topics	MyRaven.ai - AI-Powered Compliance Intelligence	en	marketing-and-advertising	robotsllmsaihumans	email phone	none
hotseller.ai ↗	70 match 2 shared topics	Hotseller — AI Market Intelligence for Consumer Brands	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
elephantai.net ↗	70 match 2 shared topics	Elephant AI — Marketing intelligence that never forgets.	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
3dart.com ↗	70 match 2 shared topics	intelligence made creative	en	marketing-and-advertising	robotsllmsaihumans	email phone	none
dotseotools.com ↗	69 match 2 shared topics	DotSuite — Unified Search & Competitor Intelligence Platform for AI era	en	marketing-and-advertising	robots llmsaihumans	emailphone	partial · 8
myghostagent.com ↗	69 match 2 shared topics	Ghost Agent — AI-Powered Marketing Intelligence	en	marketing-and-advertising Ghost	robotsllmsaihumans	emailphone	none
intelobrand.com ↗	69 match 2 shared topics	Intelobrand \| AI-Powered Marketing Intelligence Platform	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
inteliris.com ↗	68 match 2 shared topics	Intelliris AI — Marketing Intelligence Platform	United States~ en	marketing-and-advertising	robotsllmsaihumans	email phone	none
crystl.ai ↗	68 match 2 shared topics	Crystl AI - AI Campaign Intelligence Platform	en	marketing-and-advertising	robots llmsaihumans	emailphone	none
albert.ai ↗	68 match 2 shared topics	Artificial Intelligence Marketing - Albert	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
aurasynthesis.io ↗	68 match 2 shared topics	AuraOS — Growth Intelligence for DTC Brands	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
aueujdmaeiukdierefdff.org ↗	68 match 2 shared topics	NeuroPulse Analytics - Next-Generation Marketing Intelligence	United States~ en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
aueayurmasuyedae.org ↗	68 match 2 shared topics	NeuroPulse Analytics - Next-Generation Marketing Intelligence	United States~ en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
aueduaeijmdjnavfe.com ↗	68 match 2 shared topics	NeuroPulse Analytics - Next-Generation Marketing Intelligence	United States~ en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
aueduaeijmdjnavfe.org ↗	68 match 2 shared topics	NeuroPulse Analytics - Next-Generation Marketing Intelligence	United States~ en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
auemaiekaujd.org ↗	68 match 2 shared topics	NeuroPulse Analytics - Next-Generation Marketing Intelligence	United States~ en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
aumejndersdf.com ↗	68 match 2 shared topics	NeuroPulse Analytics - Next-Generation Marketing Intelligence	United States~ 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.