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Fluent | Automated client reporting for marketing agencies — 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
agencyanalytics.com ↗	85 match 1 shared topics	Automated Client Reporting for Marketing Agencies \| AgencyAnalytics	en	marketing-and-advertising	robots llmsaihumans	emailphone	none
myseotool.com ↗	85 match 1 shared topics	Automated Client Reporting for Marketing Agencies \| AgencyAnalytics	en	marketing-and-advertising	robots llmsaihumans	emailphone	none
myagencyinsights.com ↗	84 match 1 shared topics	AgencyInsights – Automated Client Reporting for Marketing Agencies	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
tryadentic.com ↗	83 match 1 shared topics	Adentic - Automated Client Reports for Marketing Agencies	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
breut.com ↗	80 match 1 shared topics	Breut – AI Client Reporting for Marketing Agencies	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
idashthis.com ↗	77 match 1 shared topics	Marketing Reporting Software: Automated Dashboards for Agencies	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
ledgespace.com ↗	76 match 1 shared topics	LedgeSpace — White-Label Automated Client Reporting for Agencies \| From $49/mo	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
proaxis.ai ↗	73 match 1 shared topics	Proaxis - The Ultimate CRM & Operating System for Marketing Agencies	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
promofluent.com ↗	72 match 1 shared topics	Promofluent \| Digital Marketing Agency	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
kartiv.ai ↗	72 match 1 shared topics	Kartiv: Automated Visual Content for eCommerce & Marketing Agencies	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
trykuleabdaas.com ↗	72 match 1 shared topics	Kulea - Marketing Automation Built for Staffing & Recruitment Agencies	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
leadbabu.com ↗	72 match 1 shared topics	LeadBabu \| Operating System for Performance Marketing Agencies	en	marketing-and-advertising	robotsllmsaihumans	emailphone	partial · 7
meetroiwhatconverts.org ↗	72 match 1 shared topics	Lead Tracking for Marketing \| Lead Tracking & Reporting Software	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
tryreportai.com ↗	72 match 1 shared topics	ReportAI — AI Report Writer for Marketing Agencies	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
trysonika.com ↗	71 match 1 shared topics	Sonika \| Voice infrastructure for marketing agencies	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
leadfox-ai.com ↗	71 match 1 shared topics	Leadfox: Marketing automation software for SMB and agency	Canada~ en	marketing-and-advertising	robotsllmsaihumans	email phone	none
leadfox-app.com ↗	71 match 1 shared topics	Leadfox: Marketing automation software for SMB and agency	Canada~ en	marketing-and-advertising	robotsllmsaihumans	email phone	none
leadfox-one.com ↗	71 match 1 shared topics	Leadfox: Marketing automation software for SMB and agency	Canada~ en	marketing-and-advertising	robotsllmsaihumans	email phone	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.