similar sites

Browse

AI Report Tools

Sites similar to fdfgroup.ru

Fdfgroup alternatives & similar sites

FDFgroup. Количественные маркетинговые исследования потребителей — 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
analysis.by ↗	80 match 1 shared topics	Маркетинговые исследования в Интернет	BY ru	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	partial · 8
surinmedia.com ↗	74 match 1 shared topics	Маркетинговое агенство Surin	ru	marketing-and-advertising	robotsllmsaihumans	email phone	none
digitalgods.org ↗	74 match 1 shared topics	DigitalGods.org - Божественный диджитал для ваших маркетинговых задач	ru	marketing-and-advertising	robotsllmsaihumans	emailphone	none
plantypop.com ↗	72 match 1 shared topics	Plantypop — Живые растения. Живой маркетинг.	ru	marketing-and-advertising	robotsllmsaihumans	emailphone	none
1marketing.by ↗	72 match 1 shared topics	Новости маркетинга и бизнеса	BY ru	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
barmin.io ↗	71 match 1 shared topics	Цифровые стратегии, IT и маркетинг \| БАРМИН	ru	marketing-and-advertising	robotsllmsaihumans	emailphone	none
cheshire-cat.by ↗	71 match 1 shared topics	Маркетинговое агентство Чеширский Кот \| Реклама и продвижение	BY ru	marketing-and-advertising	robotsllmsaihumans	email phone	none
bankin.pro ↗	71 match 1 shared topics	Bankin.pro — внедрение контент-маркетинга	ru	marketing-and-advertising	robotsllmsaihumans	emailphone	none
digital-group.net ↗	71 match 1 shared topics	Агентство интернет-маркетинга Digital Group - рост продаж 🚀	ru	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	email phone	none
digitalexperts.tv ↗	70 match 1 shared topics	Маркетинговое агентство для сложных продуктов и услуг — Digital Experts	ru	marketing-and-advertising	robots llmsaihumans	emailphone	none
cashkovsky.com ↗	70 match 1 shared topics	Cashkovsky - студия увеличения продаж Сергея Кашковского	ru	marketing-and-advertising	robotsllmsaihumans	emailphone	none
climbra.by ↗	70 match 1 shared topics	Комплексный интернет-маркетинг с WEB-аналитикой для вашего бизнеса от команды Climbra	BY ru	marketing-and-advertising	robotsllmsaihumans	emailphone	none
fenix-media.by ↗	70 match 1 shared topics	Цифровой маркетинг от А до Я	BY ru	marketing-and-advertising WordPress	robots llmsaihumans	emailphone	none
5media.by ↗	70 match 1 shared topics	Цифровой маркетинг от А до Я	BY ru	marketing-and-advertising WordPress	robots llmsaihumans	emailphone	none
cari.by ↗	70 match 1 shared topics	Консультации по Маркетингу - Частный маркетолог Дмитрий Кифорук. Более 13 лет в маркетинге и рекламе.	BY ru	marketing-and-advertising	robotsllmsaihumans	email phone	none
adcreat.by ↗	70 match 1 shared topics	Оптимизация digital‑маркетинга и аналитики под ключ - AdCreat Digital Lab	BY ru	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	email phone	none
context-kill.by ↗	69 match 1 shared topics	CONTEXT-KILL.BY - Блог о маркетинге и SEO	BY ru	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
plagiatus.com ↗	69 match 1 shared topics	Адвего. Биржа маркетинга, фриланса и контента.	ru	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.